An analysis of history matching errors
Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted su...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tavassoli, Z. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2005 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, Inc. 2005 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Computational geosciences - Springer Netherlands, 1997, 9(2005), 2-3 vom: Sept., Seite 99-123 |
|---|---|
| Übergeordnetes Werk: |
volume:9 ; year:2005 ; number:2-3 ; month:09 ; pages:99-123 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10596-005-9001-7 |
|---|
| Katalog-ID: |
OLC2070601676 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2070601676 | ||
| 003 | DE-627 | ||
| 005 | 20230503031113.0 | ||
| 007 | tu | ||
| 008 | 200819s2005 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10596-005-9001-7 |2 doi | |
| 035 | |a (DE-627)OLC2070601676 | ||
| 035 | |a (DE-He213)s10596-005-9001-7-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 630 |a 640 |a 550 |q VZ |
| 084 | |a 13 |2 ssgn | ||
| 100 | 1 | |a Tavassoli, Z. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a An analysis of history matching errors |
| 264 | 1 | |c 2005 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, Inc. 2005 | ||
| 520 | |a Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. | ||
| 650 | 4 | |a history matching | |
| 650 | 4 | |a inverse problems | |
| 650 | 4 | |a uncertainty | |
| 650 | 4 | |a error analysis | |
| 650 | 4 | |a likelihood | |
| 650 | 4 | |a sum of squares | |
| 700 | 1 | |a Carter, Jonathan N. |4 aut | |
| 700 | 1 | |a King, Peter R. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Computational geosciences |d Springer Netherlands, 1997 |g 9(2005), 2-3 vom: Sept., Seite 99-123 |w (DE-627)227875524 |w (DE-600)1380893-X |w (DE-576)05914839X |x 1420-0597 |7 nnns |
| 773 | 1 | 8 | |g volume:9 |g year:2005 |g number:2-3 |g month:09 |g pages:99-123 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s10596-005-9001-7 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2027 | ||
| 951 | |a AR | ||
| 952 | |d 9 |j 2005 |e 2-3 |c 09 |h 99-123 | ||
| author_variant |
z t zt j n c jn jnc p r k pr prk |
|---|---|
| matchkey_str |
article:14200597:2005----::nnlssfitrmth |
| hierarchy_sort_str |
2005 |
| publishDate |
2005 |
| allfields |
10.1007/s10596-005-9001-7 doi (DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p DE-627 ger DE-627 rakwb eng 630 640 550 VZ 13 ssgn Tavassoli, Z. verfasserin aut An analysis of history matching errors 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, Inc. 2005 Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. history matching inverse problems uncertainty error analysis likelihood sum of squares Carter, Jonathan N. aut King, Peter R. aut Enthalten in Computational geosciences Springer Netherlands, 1997 9(2005), 2-3 vom: Sept., Seite 99-123 (DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X 1420-0597 nnns volume:9 year:2005 number:2-3 month:09 pages:99-123 https://doi.org/10.1007/s10596-005-9001-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 AR 9 2005 2-3 09 99-123 |
| spelling |
10.1007/s10596-005-9001-7 doi (DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p DE-627 ger DE-627 rakwb eng 630 640 550 VZ 13 ssgn Tavassoli, Z. verfasserin aut An analysis of history matching errors 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, Inc. 2005 Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. history matching inverse problems uncertainty error analysis likelihood sum of squares Carter, Jonathan N. aut King, Peter R. aut Enthalten in Computational geosciences Springer Netherlands, 1997 9(2005), 2-3 vom: Sept., Seite 99-123 (DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X 1420-0597 nnns volume:9 year:2005 number:2-3 month:09 pages:99-123 https://doi.org/10.1007/s10596-005-9001-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 AR 9 2005 2-3 09 99-123 |
| allfields_unstemmed |
10.1007/s10596-005-9001-7 doi (DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p DE-627 ger DE-627 rakwb eng 630 640 550 VZ 13 ssgn Tavassoli, Z. verfasserin aut An analysis of history matching errors 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, Inc. 2005 Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. history matching inverse problems uncertainty error analysis likelihood sum of squares Carter, Jonathan N. aut King, Peter R. aut Enthalten in Computational geosciences Springer Netherlands, 1997 9(2005), 2-3 vom: Sept., Seite 99-123 (DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X 1420-0597 nnns volume:9 year:2005 number:2-3 month:09 pages:99-123 https://doi.org/10.1007/s10596-005-9001-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 AR 9 2005 2-3 09 99-123 |
| allfieldsGer |
10.1007/s10596-005-9001-7 doi (DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p DE-627 ger DE-627 rakwb eng 630 640 550 VZ 13 ssgn Tavassoli, Z. verfasserin aut An analysis of history matching errors 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, Inc. 2005 Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. history matching inverse problems uncertainty error analysis likelihood sum of squares Carter, Jonathan N. aut King, Peter R. aut Enthalten in Computational geosciences Springer Netherlands, 1997 9(2005), 2-3 vom: Sept., Seite 99-123 (DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X 1420-0597 nnns volume:9 year:2005 number:2-3 month:09 pages:99-123 https://doi.org/10.1007/s10596-005-9001-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 AR 9 2005 2-3 09 99-123 |
| allfieldsSound |
10.1007/s10596-005-9001-7 doi (DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p DE-627 ger DE-627 rakwb eng 630 640 550 VZ 13 ssgn Tavassoli, Z. verfasserin aut An analysis of history matching errors 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, Inc. 2005 Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. history matching inverse problems uncertainty error analysis likelihood sum of squares Carter, Jonathan N. aut King, Peter R. aut Enthalten in Computational geosciences Springer Netherlands, 1997 9(2005), 2-3 vom: Sept., Seite 99-123 (DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X 1420-0597 nnns volume:9 year:2005 number:2-3 month:09 pages:99-123 https://doi.org/10.1007/s10596-005-9001-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 AR 9 2005 2-3 09 99-123 |
| language |
English |
| source |
Enthalten in Computational geosciences 9(2005), 2-3 vom: Sept., Seite 99-123 volume:9 year:2005 number:2-3 month:09 pages:99-123 |
| sourceStr |
Enthalten in Computational geosciences 9(2005), 2-3 vom: Sept., Seite 99-123 volume:9 year:2005 number:2-3 month:09 pages:99-123 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
history matching inverse problems uncertainty error analysis likelihood sum of squares |
| dewey-raw |
630 |
| isfreeaccess_bool |
false |
| container_title |
Computational geosciences |
| authorswithroles_txt_mv |
Tavassoli, Z. @@aut@@ Carter, Jonathan N. @@aut@@ King, Peter R. @@aut@@ |
| publishDateDaySort_date |
2005-09-01T00:00:00Z |
| hierarchy_top_id |
227875524 |
| dewey-sort |
3630 |
| id |
OLC2070601676 |
| 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">OLC2070601676</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503031113.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2005 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10596-005-9001-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2070601676</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10596-005-9001-7-p</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="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">13</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tavassoli, Z.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An analysis of history matching errors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2005</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, Inc. 2005</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">history matching</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">inverse problems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">uncertainty</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">error analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">likelihood</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sum of squares</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carter, Jonathan N.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">King, Peter R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computational geosciences</subfield><subfield code="d">Springer Netherlands, 1997</subfield><subfield code="g">9(2005), 2-3 vom: Sept., Seite 99-123</subfield><subfield code="w">(DE-627)227875524</subfield><subfield code="w">(DE-600)1380893-X</subfield><subfield code="w">(DE-576)05914839X</subfield><subfield code="x">1420-0597</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2005</subfield><subfield code="g">number:2-3</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:99-123</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10596-005-9001-7</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</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_2027</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2005</subfield><subfield code="e">2-3</subfield><subfield code="c">09</subfield><subfield code="h">99-123</subfield></datafield></record></collection>
|
| author |
Tavassoli, Z. |
| spellingShingle |
Tavassoli, Z. ddc 630 ssgn 13 misc history matching misc inverse problems misc uncertainty misc error analysis misc likelihood misc sum of squares An analysis of history matching errors |
| authorStr |
Tavassoli, Z. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)227875524 |
| format |
Article |
| dewey-ones |
630 - Agriculture & related technologies 640 - Home & family management 550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1420-0597 |
| topic_title |
630 640 550 VZ 13 ssgn An analysis of history matching errors history matching inverse problems uncertainty error analysis likelihood sum of squares |
| topic |
ddc 630 ssgn 13 misc history matching misc inverse problems misc uncertainty misc error analysis misc likelihood misc sum of squares |
| topic_unstemmed |
ddc 630 ssgn 13 misc history matching misc inverse problems misc uncertainty misc error analysis misc likelihood misc sum of squares |
| topic_browse |
ddc 630 ssgn 13 misc history matching misc inverse problems misc uncertainty misc error analysis misc likelihood misc sum of squares |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Computational geosciences |
| hierarchy_parent_id |
227875524 |
| dewey-tens |
630 - Agriculture 640 - Home & family management 550 - Earth sciences & geology |
| hierarchy_top_title |
Computational geosciences |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)227875524 (DE-600)1380893-X (DE-576)05914839X |
| title |
An analysis of history matching errors |
| ctrlnum |
(DE-627)OLC2070601676 (DE-He213)s10596-005-9001-7-p |
| title_full |
An analysis of history matching errors |
| author_sort |
Tavassoli, Z. |
| journal |
Computational geosciences |
| journalStr |
Computational geosciences |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2005 |
| contenttype_str_mv |
txt |
| container_start_page |
99 |
| author_browse |
Tavassoli, Z. Carter, Jonathan N. King, Peter R. |
| container_volume |
9 |
| class |
630 640 550 VZ 13 ssgn |
| format_se |
Aufsätze |
| author-letter |
Tavassoli, Z. |
| doi_str_mv |
10.1007/s10596-005-9001-7 |
| dewey-full |
630 640 550 |
| title_sort |
an analysis of history matching errors |
| title_auth |
An analysis of history matching errors |
| abstract |
Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. © Springer Science+Business Media, Inc. 2005 |
| abstractGer |
Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. © Springer Science+Business Media, Inc. 2005 |
| abstract_unstemmed |
Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast. © Springer Science+Business Media, Inc. 2005 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_70 GBV_ILN_2027 |
| container_issue |
2-3 |
| title_short |
An analysis of history matching errors |
| url |
https://doi.org/10.1007/s10596-005-9001-7 |
| remote_bool |
false |
| author2 |
Carter, Jonathan N. King, Peter R. |
| author2Str |
Carter, Jonathan N. King, Peter R. |
| ppnlink |
227875524 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10596-005-9001-7 |
| up_date |
2024-07-04T01:45:56.459Z |
| _version_ |
1803611072322600960 |
| 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">OLC2070601676</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503031113.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2005 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10596-005-9001-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2070601676</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10596-005-9001-7-p</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="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="a">640</subfield><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">13</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tavassoli, Z.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An analysis of history matching errors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2005</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, Inc. 2005</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We use a simple 2D model of a layered reservoir with three unknown parameters: the throw of a fault, and high and low permeabilities. Then consider three different cases where in each case two parameters are kept fixed and the third one is varied within a specific range. Using a weighted sum of squares of the difference in production for the objective function, we plot it against the varying parameter for each case. It mainly shows a complex function with multiple minima. We see that geological ‘symmetry’ and also vertical spreading are some sources of non-monotonicity in the production and transmissibility curves. These result in a multi-modal objective function and consequently non-unique history matches. The behaviour of the system in the forecast period is also studied, which shows that a good history matched model could give a bad forecast.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">history matching</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">inverse problems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">uncertainty</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">error analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">likelihood</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sum of squares</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carter, Jonathan N.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">King, Peter R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computational geosciences</subfield><subfield code="d">Springer Netherlands, 1997</subfield><subfield code="g">9(2005), 2-3 vom: Sept., Seite 99-123</subfield><subfield code="w">(DE-627)227875524</subfield><subfield code="w">(DE-600)1380893-X</subfield><subfield code="w">(DE-576)05914839X</subfield><subfield code="x">1420-0597</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2005</subfield><subfield code="g">number:2-3</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:99-123</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10596-005-9001-7</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_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</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_2027</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2005</subfield><subfield code="e">2-3</subfield><subfield code="c">09</subfield><subfield code="h">99-123</subfield></datafield></record></collection>
|
| score |
7.401101 |