Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study

Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Qureshi, Umair [verfasserIn] Qureshi, Haris Ahmed Bhatti, Amanat Ali Saeed, Muhammad Salman Khalid, Muhammad Sameer

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Matrix acidizing Acid fracturing Stimulation diversion Production optimization Fracture design

Anmerkung:	© Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Arabian journal of geosciences - Berlin : Springer, 2008, 16(2023), 11 vom: 26. Okt.
Übergeordnetes Werk:	volume:16 ; year:2023 ; number:11 ; day:26 ; month:10

Links:	Volltext

DOI / URN:	10.1007/s12517-023-11734-1

Katalog-ID:	SPR053537319

Internformat


LEADER	01000caa a22002652 4500
001	SPR053537319
003	DE-627
005	20231110064706.0
007	cr uuu---uuuuu
008	231027s2023 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1007/s12517-023-11734-1 \|2 doi
035			\|a (DE-627)SPR053537319
035			\|a (SPR)s12517-023-11734-1-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Qureshi, Umair \|e verfasserin \|4 aut
245	1	0	\|a Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
264		1	\|c 2023
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
500			\|a © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
520			\|a Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs.
650		4	\|a Matrix acidizing \|7 (dpeaa)DE-He213
650		4	\|a Acid fracturing \|7 (dpeaa)DE-He213
650		4	\|a Stimulation diversion \|7 (dpeaa)DE-He213
650		4	\|a Production optimization \|7 (dpeaa)DE-He213
650		4	\|a Fracture design \|7 (dpeaa)DE-He213
700	1		\|a Qureshi, Haris Ahmed \|0 (orcid)0000-0002-2472-1959 \|4 aut
700	1		\|a Bhatti, Amanat Ali \|4 aut
700	1		\|a Saeed, Muhammad Salman \|4 aut
700	1		\|a Khalid, Muhammad Sameer \|4 aut
773	0	8	\|i Enthalten in \|t Arabian journal of geosciences \|d Berlin : Springer, 2008 \|g 16(2023), 11 vom: 26. Okt. \|w (DE-627)572421877 \|w (DE-600)2438771-X \|x 1866-7538 \|7 nnns
773	1	8	\|g volume:16 \|g year:2023 \|g number:11 \|g day:26 \|g month:10
856	4	0	\|u https://dx.doi.org/10.1007/s12517-023-11734-1 \|z lizenzpflichtig \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_381
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4246
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4328
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 16 \|j 2023 \|e 11 \|b 26 \|c 10

Indexfelder

author_variant	u q uq h a q ha haq a a b aa aab m s s ms mss m s k ms msk
matchkey_str	article:18667538:2023----::netgtntefetomtiaiiignaifatrnoterdcinpiiain
hierarchy_sort_str	2023
publishDate	2023
allfields	10.1007/s12517-023-11734-1 doi (DE-627)SPR053537319 (SPR)s12517-023-11734-1-e DE-627 ger DE-627 rakwb eng Qureshi, Umair verfasserin aut Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213 Qureshi, Haris Ahmed (orcid)0000-0002-2472-1959 aut Bhatti, Amanat Ali aut Saeed, Muhammad Salman aut Khalid, Muhammad Sameer aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 11 vom: 26. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:11 day:26 month:10 https://dx.doi.org/10.1007/s12517-023-11734-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 11 26 10
spelling	10.1007/s12517-023-11734-1 doi (DE-627)SPR053537319 (SPR)s12517-023-11734-1-e DE-627 ger DE-627 rakwb eng Qureshi, Umair verfasserin aut Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213 Qureshi, Haris Ahmed (orcid)0000-0002-2472-1959 aut Bhatti, Amanat Ali aut Saeed, Muhammad Salman aut Khalid, Muhammad Sameer aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 11 vom: 26. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:11 day:26 month:10 https://dx.doi.org/10.1007/s12517-023-11734-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 11 26 10
allfields_unstemmed	10.1007/s12517-023-11734-1 doi (DE-627)SPR053537319 (SPR)s12517-023-11734-1-e DE-627 ger DE-627 rakwb eng Qureshi, Umair verfasserin aut Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213 Qureshi, Haris Ahmed (orcid)0000-0002-2472-1959 aut Bhatti, Amanat Ali aut Saeed, Muhammad Salman aut Khalid, Muhammad Sameer aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 11 vom: 26. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:11 day:26 month:10 https://dx.doi.org/10.1007/s12517-023-11734-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 11 26 10
allfieldsGer	10.1007/s12517-023-11734-1 doi (DE-627)SPR053537319 (SPR)s12517-023-11734-1-e DE-627 ger DE-627 rakwb eng Qureshi, Umair verfasserin aut Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213 Qureshi, Haris Ahmed (orcid)0000-0002-2472-1959 aut Bhatti, Amanat Ali aut Saeed, Muhammad Salman aut Khalid, Muhammad Sameer aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 11 vom: 26. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:11 day:26 month:10 https://dx.doi.org/10.1007/s12517-023-11734-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 11 26 10
allfieldsSound	10.1007/s12517-023-11734-1 doi (DE-627)SPR053537319 (SPR)s12517-023-11734-1-e DE-627 ger DE-627 rakwb eng Qureshi, Umair verfasserin aut Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213 Qureshi, Haris Ahmed (orcid)0000-0002-2472-1959 aut Bhatti, Amanat Ali aut Saeed, Muhammad Salman aut Khalid, Muhammad Sameer aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 16(2023), 11 vom: 26. Okt. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:16 year:2023 number:11 day:26 month:10 https://dx.doi.org/10.1007/s12517-023-11734-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 11 26 10
language	English
source	Enthalten in Arabian journal of geosciences 16(2023), 11 vom: 26. Okt. volume:16 year:2023 number:11 day:26 month:10
sourceStr	Enthalten in Arabian journal of geosciences 16(2023), 11 vom: 26. Okt. volume:16 year:2023 number:11 day:26 month:10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Matrix acidizing Acid fracturing Stimulation diversion Production optimization Fracture design
isfreeaccess_bool	false
container_title	Arabian journal of geosciences
authorswithroles_txt_mv	Qureshi, Umair @@aut@@ Qureshi, Haris Ahmed @@aut@@ Bhatti, Amanat Ali @@aut@@ Saeed, Muhammad Salman @@aut@@ Khalid, Muhammad Sameer @@aut@@
publishDateDaySort_date	2023-10-26T00:00:00Z
hierarchy_top_id	572421877
id	SPR053537319
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR053537319</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231110064706.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231027s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12517-023-11734-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR053537319</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12517-023-11734-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qureshi, Umair</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Matrix acidizing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acid fracturing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stimulation diversion</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Production optimization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fracture design</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qureshi, Haris Ahmed</subfield><subfield code="0">(orcid)0000-0002-2472-1959</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhatti, Amanat Ali</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Saeed, Muhammad Salman</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Khalid, Muhammad Sameer</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Arabian journal of geosciences</subfield><subfield code="d">Berlin : Springer, 2008</subfield><subfield code="g">16(2023), 11 vom: 26. Okt.</subfield><subfield code="w">(DE-627)572421877</subfield><subfield code="w">(DE-600)2438771-X</subfield><subfield code="x">1866-7538</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:11</subfield><subfield code="g">day:26</subfield><subfield code="g">month:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12517-023-11734-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_381</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2023</subfield><subfield code="e">11</subfield><subfield code="b">26</subfield><subfield code="c">10</subfield></datafield></record></collection>
author	Qureshi, Umair
spellingShingle	Qureshi, Umair misc Matrix acidizing misc Acid fracturing misc Stimulation diversion misc Production optimization misc Fracture design Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
authorStr	Qureshi, Umair
ppnlink_with_tag_str_mv	@@773@@(DE-627)572421877
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	1866-7538
topic_title	Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study Matrix acidizing (dpeaa)DE-He213 Acid fracturing (dpeaa)DE-He213 Stimulation diversion (dpeaa)DE-He213 Production optimization (dpeaa)DE-He213 Fracture design (dpeaa)DE-He213
topic	misc Matrix acidizing misc Acid fracturing misc Stimulation diversion misc Production optimization misc Fracture design
topic_unstemmed	misc Matrix acidizing misc Acid fracturing misc Stimulation diversion misc Production optimization misc Fracture design
topic_browse	misc Matrix acidizing misc Acid fracturing misc Stimulation diversion misc Production optimization misc Fracture design
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Arabian journal of geosciences
hierarchy_parent_id	572421877
hierarchy_top_title	Arabian journal of geosciences
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)572421877 (DE-600)2438771-X
title	Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
ctrlnum	(DE-627)SPR053537319 (SPR)s12517-023-11734-1-e
title_full	Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
author_sort	Qureshi, Umair
journal	Arabian journal of geosciences
journalStr	Arabian journal of geosciences
lang_code	eng
isOA_bool	false
recordtype	marc
publishDateSort	2023
contenttype_str_mv	txt
author_browse	Qureshi, Umair Qureshi, Haris Ahmed Bhatti, Amanat Ali Saeed, Muhammad Salman Khalid, Muhammad Sameer
container_volume	16
format_se	Elektronische Aufsätze
author-letter	Qureshi, Umair
doi_str_mv	10.1007/s12517-023-11734-1
normlink	(ORCID)0000-0002-2472-1959
normlink_prefix_str_mv	(orcid)0000-0002-2472-1959
title_sort	investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
title_auth	Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
abstract	Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs. © Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700
container_issue	11
title_short	Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study
url	https://dx.doi.org/10.1007/s12517-023-11734-1
remote_bool	true
author2	Qureshi, Haris Ahmed Bhatti, Amanat Ali Saeed, Muhammad Salman Khalid, Muhammad Sameer
author2Str	Qureshi, Haris Ahmed Bhatti, Amanat Ali Saeed, Muhammad Salman Khalid, Muhammad Sameer
ppnlink	572421877
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s12517-023-11734-1
up_date	2024-07-03T20:15:03.793Z
_version_	1803590255296643072
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR053537319</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231110064706.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231027s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12517-023-11734-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR053537319</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12517-023-11734-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qureshi, Umair</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The rudimentary findings associated with the optimum operation of a gas reservoir highlight the interdependence of the network of fractures, rock matrix, and reservoir permeability. However, if due to any drilling issue, the well is drilled in a section where it does not encounter any fracture, or if the fracture network is disconnected from the matrix, productivity is greatly reduced. Stimulation methods (matrix acidizing and acid fracturing) are deployed to restore/enhance the reservoir permeability to improve the productivity of a reservoir. Stimulation methods play a crucial role in addressing the challenge of restoring and enhancing a reservoir’s capability to improve production. Acidizing and fracturing are the two stimulation methods commonly used. The selection of these methods mainly depends on the type of reservoir and its characteristics. In this paper, the effects of matrix acidizing and acid fracturing on a carbonate reservoir are presented. STIMPRO® designed for matrix acidizing/analysis and FRACPRO® designed for fracture geometry analysis enabled the convergence of the actual well data. An acid chemical recipe is designed to execute the matrix fracturing treatment. The stimulation diversion technique, maximized pressure differential and injection rates (MAPDIR), is used to inject the cited acid chemical recipe at designed injection rates in the reservoir. Well test analysis using ECRIN® and production optimization through PIPESIM® are carried out to maximize the efficiency of the matrix acidizing and acid fracturing. The well production increased fourfold to 1 MMSCFD post-matrix acidizing job. The overall well production of 14.6 MMSCFD was observed post-acid fracturing employing the designed acid recipe with MAPDIR diversion. The economic viability of both the treatments was evaluated using the decline curve analysis (DCA) technique which showed a considerable increase in low and best estimates (1P, 2P) of reservoirs post-acid fracturing jobs.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Matrix acidizing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acid fracturing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stimulation diversion</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Production optimization</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fracture design</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qureshi, Haris Ahmed</subfield><subfield code="0">(orcid)0000-0002-2472-1959</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhatti, Amanat Ali</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Saeed, Muhammad Salman</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Khalid, Muhammad Sameer</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Arabian journal of geosciences</subfield><subfield code="d">Berlin : Springer, 2008</subfield><subfield code="g">16(2023), 11 vom: 26. Okt.</subfield><subfield code="w">(DE-627)572421877</subfield><subfield code="w">(DE-600)2438771-X</subfield><subfield code="x">1866-7538</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:11</subfield><subfield code="g">day:26</subfield><subfield code="g">month:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12517-023-11734-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_381</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2023</subfield><subfield code="e">11</subfield><subfield code="b">26</subfield><subfield code="c">10</subfield></datafield></record></collection>
score	7.400051

Nicht das Richtige dabei?

Schreiben Sie uns!

Investigating the effects of matrix acidizing and acid fracturing on the production optimization of a carbonate reservoir: a case study

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?