Seismic Reservoir Modeling: Theory, Examples, and Algorithms
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Newark
John Wiley & Sons, Incorporated
2021
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| Schlagworte: | |
| Beschreibung: | 272 Seiten Illustrationen |
| ISBN: | 9781119086185 |
Internformat
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| 100 | 1 | |a Grana, Dario |4 aut | |
| 245 | 1 | 0 | |a Seismic Reservoir Modeling |b Theory, Examples, and Algorithms |c Dario Grana, Tapan Mukerji, Philippe Doye |
| 264 | 1 | |a Newark |b John Wiley & Sons, Incorporated |c 2021 | |
| 300 | |a 272 Seiten |b Illustrationen | ||
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| 505 | 8 | |a Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies. | |
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| 653 | |a Seismic processing and interpretation | ||
| 653 | |a Reservoir geomechanics | ||
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Datensatz im Suchindex
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| bvnumber | BV047293950 |
| contents | Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies. |
| ctrlnum | (OCoLC)1251440422 (DE-599)BVBBV047293950 |
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| id | DE-604.BV047293950 |
| illustrated | Illustrated |
| index_date | 2024-07-03T17:21:10Z |
| indexdate | 2024-07-10T09:08:02Z |
| institution | BVB |
| isbn | 9781119086185 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032697236 |
| oclc_num | 1251440422 |
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| owner | DE-188 DE-29 |
| owner_facet | DE-188 DE-29 |
| physical | 272 Seiten Illustrationen |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | John Wiley & Sons, Incorporated |
| record_format | marc |
| spelling | Grana, Dario aut Seismic Reservoir Modeling Theory, Examples, and Algorithms Dario Grana, Tapan Mukerji, Philippe Doye Newark John Wiley & Sons, Incorporated 2021 272 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies. Modellierung (DE-588)4170297-9 gnd rswk-swf Bayes-Regel (DE-588)4144221-0 gnd rswk-swf Speichergestein (DE-588)4196332-5 gnd rswk-swf seismic Reservoir Characterization Seismic processing and interpretation Reservoir geomechanics Speichergestein (DE-588)4196332-5 s Modellierung (DE-588)4170297-9 s Bayes-Regel (DE-588)4144221-0 s DE-604 Mukerji, Tapan 1965- Sonstige (DE-588)173274102 oth Doyen, Philippe Sonstige oth Erscheint auch als Grana, Dario Seismic Reservoir Modeling Newark : John Wiley & Sons, Incorporated,2021 9781119086192 |
| spellingShingle | Grana, Dario Seismic Reservoir Modeling Theory, Examples, and Algorithms Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies. Modellierung (DE-588)4170297-9 gnd Bayes-Regel (DE-588)4144221-0 gnd Speichergestein (DE-588)4196332-5 gnd |
| subject_GND | (DE-588)4170297-9 (DE-588)4144221-0 (DE-588)4196332-5 |
| title | Seismic Reservoir Modeling Theory, Examples, and Algorithms |
| title_auth | Seismic Reservoir Modeling Theory, Examples, and Algorithms |
| title_exact_search | Seismic Reservoir Modeling Theory, Examples, and Algorithms |
| title_exact_search_txtP | Seismic Reservoir Modeling Theory, Examples, and Algorithms |
| title_full | Seismic Reservoir Modeling Theory, Examples, and Algorithms Dario Grana, Tapan Mukerji, Philippe Doye |
| title_fullStr | Seismic Reservoir Modeling Theory, Examples, and Algorithms Dario Grana, Tapan Mukerji, Philippe Doye |
| title_full_unstemmed | Seismic Reservoir Modeling Theory, Examples, and Algorithms Dario Grana, Tapan Mukerji, Philippe Doye |
| title_short | Seismic Reservoir Modeling |
| title_sort | seismic reservoir modeling theory examples and algorithms |
| title_sub | Theory, Examples, and Algorithms |
| topic | Modellierung (DE-588)4170297-9 gnd Bayes-Regel (DE-588)4144221-0 gnd Speichergestein (DE-588)4196332-5 gnd |
| topic_facet | Modellierung Bayes-Regel Speichergestein |
| work_keys_str_mv | AT granadario seismicreservoirmodelingtheoryexamplesandalgorithms AT mukerjitapan seismicreservoirmodelingtheoryexamplesandalgorithms AT doyenphilippe seismicreservoirmodelingtheoryexamplesandalgorithms |