Ensemble History Matching
This open-access book aims to formulate the history-matching problem consistently and present state-of-the-art ensemble solution methods. The content aims to help practitioners in the field understand the properties of ensemble methods better when used to history-match reservoir models. The book pro...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Online |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Springer Nature
2025
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| Gaiak: | |
| Sarrera elektronikoa: | ONIX_20251218T100927_9783031991554_29 |
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Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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| _version_ | 1869525147499626496 |
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| author | Evensen, Geir Oliver, Dean S. Hanea, Remus G. |
| author_browse | Evensen, Geir Hanea, Remus G. Oliver, Dean S. |
| author_facet | Evensen, Geir Oliver, Dean S. Hanea, Remus G. |
| author_sort | Evensen, Geir |
| collection | Directory of Open Access Books |
| description | This open-access book aims to formulate the history-matching problem consistently and present state-of-the-art ensemble solution methods. The content aims to help practitioners in the field understand the properties of ensemble methods better when used to history-match reservoir models. The book provides educational information for graduate students and researchers in petroleum, geothermal, and hydrological engineering and sciences. It introduces and explains various algorithms used in data assimilation and parameter estimation, focusing on ensemble methods, particularly the most popular ones in the petroleum community. It discusses challenges associated with these techniques, such as dealing with high-dimensional models, finite number of realizations, parameterization, and handling uncertainties in the observations and model parameters. |
| format | Online |
| id | doab-20.500.12854ir-170487 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1704872025-12-22T05:32:03Z Ensemble History Matching Evensen, Geir Oliver, Dean S. Hanea, Remus G. Open Access Ensemble history matching Robust optimization Closed loop reservoir managment Reservoir characterization Randomized Maximum-Likelihood Sampling thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics This open-access book aims to formulate the history-matching problem consistently and present state-of-the-art ensemble solution methods. The content aims to help practitioners in the field understand the properties of ensemble methods better when used to history-match reservoir models. The book provides educational information for graduate students and researchers in petroleum, geothermal, and hydrological engineering and sciences. It introduces and explains various algorithms used in data assimilation and parameter estimation, focusing on ensemble methods, particularly the most popular ones in the petroleum community. It discusses challenges associated with these techniques, such as dealing with high-dimensional models, finite number of realizations, parameterization, and handling uncertainties in the observations and model parameters. 2025-12-22T05:32:02Z 2025-12-22T05:32:02Z 2025-12-18T09:14:46Z 2026 book ONIX_20251218T100927_9783031991554_29 https://library.oapen.org/handle/20.500.12657/109296 9783031991554 9783031991547 https://directory.doabooks.org/handle/20.500.12854/170487 eng Earth and Environmental Science; Earth and Environmental Science (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/109296/1/9783031991554.pdf Springer Nature Springer 10.1007/978-3-031-99155-4 10.1007/978-3-031-99155-4 9fa3421d-f917-4153-b9ab-fc337c396b5a 15c66411-2280-4853-9d93-2c41914793d2 9783031991554 9783031991547 Springer 199 Cham [...] open access |
| spellingShingle | Open Access Ensemble history matching Robust optimization Closed loop reservoir managment Reservoir characterization Randomized Maximum-Likelihood Sampling thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics Evensen, Geir Oliver, Dean S. Hanea, Remus G. Ensemble History Matching |
| title | Ensemble History Matching |
| title_full | Ensemble History Matching |
| title_fullStr | Ensemble History Matching |
| title_full_unstemmed | Ensemble History Matching |
| title_short | Ensemble History Matching |
| title_sort | ensemble history matching |
| topic | Open Access Ensemble history matching Robust optimization Closed loop reservoir managment Reservoir characterization Randomized Maximum-Likelihood Sampling thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics |
| topic_facet | Open Access Ensemble history matching Robust optimization Closed loop reservoir managment Reservoir characterization Randomized Maximum-Likelihood Sampling thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics |
| url | ONIX_20251218T100927_9783031991554_29 |
| work_keys_str_mv | AT evensengeir ensemblehistorymatching AT oliverdeans ensemblehistorymatching AT hanearemusg ensemblehistorymatching |