Prediction of vertical permeability and reservoir anisotropy using coring data

Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shedid, Shedid A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Vertical permeability Anisotropic reservoir Core data Sandstones

Anmerkung:	© The Author(s) 2019

Übergeordnetes Werk:	Enthalten in: Journal of petroleum exploration and production technology - Berlin : Springer, 2011, 9(2019), 3 vom: 22. Feb., Seite 2139-2143
Übergeordnetes Werk:	volume:9 ; year:2019 ; number:3 ; day:22 ; month:02 ; pages:2139-2143

Links:	Volltext

DOI / URN:	10.1007/s13202-019-0614-0

Katalog-ID:	SPR031513972

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520			\|a Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies.
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allfields	10.1007/s13202-019-0614-0 doi (DE-627)SPR031513972 (SPR)s13202-019-0614-0-e DE-627 ger DE-627 rakwb eng Shedid, Shedid A. verfasserin aut Prediction of vertical permeability and reservoir anisotropy using coring data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213 Enthalten in Journal of petroleum exploration and production technology Berlin : Springer, 2011 9(2019), 3 vom: 22. Feb., Seite 2139-2143 (DE-627)647654148 (DE-600)2595714-4 2190-0566 nnns volume:9 year:2019 number:3 day:22 month:02 pages:2139-2143 https://dx.doi.org/10.1007/s13202-019-0614-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2019 3 22 02 2139-2143
spelling	10.1007/s13202-019-0614-0 doi (DE-627)SPR031513972 (SPR)s13202-019-0614-0-e DE-627 ger DE-627 rakwb eng Shedid, Shedid A. verfasserin aut Prediction of vertical permeability and reservoir anisotropy using coring data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213 Enthalten in Journal of petroleum exploration and production technology Berlin : Springer, 2011 9(2019), 3 vom: 22. Feb., Seite 2139-2143 (DE-627)647654148 (DE-600)2595714-4 2190-0566 nnns volume:9 year:2019 number:3 day:22 month:02 pages:2139-2143 https://dx.doi.org/10.1007/s13202-019-0614-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2019 3 22 02 2139-2143
allfields_unstemmed	10.1007/s13202-019-0614-0 doi (DE-627)SPR031513972 (SPR)s13202-019-0614-0-e DE-627 ger DE-627 rakwb eng Shedid, Shedid A. verfasserin aut Prediction of vertical permeability and reservoir anisotropy using coring data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213 Enthalten in Journal of petroleum exploration and production technology Berlin : Springer, 2011 9(2019), 3 vom: 22. Feb., Seite 2139-2143 (DE-627)647654148 (DE-600)2595714-4 2190-0566 nnns volume:9 year:2019 number:3 day:22 month:02 pages:2139-2143 https://dx.doi.org/10.1007/s13202-019-0614-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2019 3 22 02 2139-2143
allfieldsGer	10.1007/s13202-019-0614-0 doi (DE-627)SPR031513972 (SPR)s13202-019-0614-0-e DE-627 ger DE-627 rakwb eng Shedid, Shedid A. verfasserin aut Prediction of vertical permeability and reservoir anisotropy using coring data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213 Enthalten in Journal of petroleum exploration and production technology Berlin : Springer, 2011 9(2019), 3 vom: 22. Feb., Seite 2139-2143 (DE-627)647654148 (DE-600)2595714-4 2190-0566 nnns volume:9 year:2019 number:3 day:22 month:02 pages:2139-2143 https://dx.doi.org/10.1007/s13202-019-0614-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2019 3 22 02 2139-2143
allfieldsSound	10.1007/s13202-019-0614-0 doi (DE-627)SPR031513972 (SPR)s13202-019-0614-0-e DE-627 ger DE-627 rakwb eng Shedid, Shedid A. verfasserin aut Prediction of vertical permeability and reservoir anisotropy using coring data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213 Enthalten in Journal of petroleum exploration and production technology Berlin : Springer, 2011 9(2019), 3 vom: 22. Feb., Seite 2139-2143 (DE-627)647654148 (DE-600)2595714-4 2190-0566 nnns volume:9 year:2019 number:3 day:22 month:02 pages:2139-2143 https://dx.doi.org/10.1007/s13202-019-0614-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2019 3 22 02 2139-2143
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author	Shedid, Shedid A.
spellingShingle	Shedid, Shedid A. misc Vertical permeability misc Anisotropic reservoir misc Core data misc Sandstones Prediction of vertical permeability and reservoir anisotropy using coring data
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topic_title	Prediction of vertical permeability and reservoir anisotropy using coring data Vertical permeability (dpeaa)DE-He213 Anisotropic reservoir (dpeaa)DE-He213 Core data (dpeaa)DE-He213 Sandstones (dpeaa)DE-He213
topic	misc Vertical permeability misc Anisotropic reservoir misc Core data misc Sandstones
topic_unstemmed	misc Vertical permeability misc Anisotropic reservoir misc Core data misc Sandstones
topic_browse	misc Vertical permeability misc Anisotropic reservoir misc Core data misc Sandstones
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title	Prediction of vertical permeability and reservoir anisotropy using coring data
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title_full	Prediction of vertical permeability and reservoir anisotropy using coring data
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title_sort	prediction of vertical permeability and reservoir anisotropy using coring data
title_auth	Prediction of vertical permeability and reservoir anisotropy using coring data
abstract	Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. © The Author(s) 2019
abstractGer	Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. © The Author(s) 2019
abstract_unstemmed	Abstract Most reservoirs have different degrees of permeability anisotropy. Optimization of recovery is crucially dependent on the reservoir quality and anisotropy. The ratio of vertical and horizontal permeability is important when reservoir anisotropy (Kv/Kh) and heterogeneity cannot be neglected. Therefore, an accurate knowledge of vertical and lateral permeability distribution is essential for better reservoir characterization. This work uses routine core data for analysis to develop new correlations and characterization of a sandstone reservoir under development. The two main goals of this study are to use core data to (1) develop correlations capable of predicting vertical permeability from horizontal permeability or mean hydraulic radius and (2) develop another correlation capable of predicting the permeability anisotropy ratio (Kv/Kh) using effective porosity data. To accomplish the objectives of this project, various petrophysical properties were experimentally measured for 112 core samples extracted from an actual sandstone reservoir. The measurements included vertical permeability, horizontal permeability, effective porosity and saturations of oil and water. Applications of the developed results of this study help enhancing the prediction of vertical permeability, improving reservoir characterization and providing better simulation studies. © The Author(s) 2019
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title_short	Prediction of vertical permeability and reservoir anisotropy using coring data
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