Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement
The use of 4D seismic data in history matching has been a topic of great interest in the hydrocarbon industry as it can provide important information regarding changes in subsurfaces caused by fluid substitution and other factors where well data is not available. However, the high dimensionality and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/24/7984 |
| _version_ | 1797381282748956672 |
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| author | Eduardo Barrela Philippe Berthet Mario Trani Olivier Thual Corentin Lapeyre |
| author_facet | Eduardo Barrela Philippe Berthet Mario Trani Olivier Thual Corentin Lapeyre |
| author_sort | Eduardo Barrela |
| collection | DOAJ |
| description | The use of 4D seismic data in history matching has been a topic of great interest in the hydrocarbon industry as it can provide important information regarding changes in subsurfaces caused by fluid substitution and other factors where well data is not available. However, the high dimensionality and uncertainty associated with seismic data make its integration into the history-matching process a challenging task. Methods for adequate data reduction have been proposed in the past, but most address 4D information mismatch from a purely mathematical or image distance-based standpoint. In this study, we propose a quantitative and flow-based approach for integrating 4D seismic data into the history-matching process. By introducing a novel distance parametrization technique for measuring front mismatch information using streamlines, we address the problem from a flow-based standpoint; at the same time, we maintain the amount of necessary front data at a reduced and manageable amount. The proposed method is tested, and its results are compared on a synthetic case against another traditional method based on the Hausdorff distance. The effectiveness of the method is also demonstrated on a semi-synthetic model based on a real-case scenario, where the standard Hausdorff methodology could not be applied due to high data dimensionality. |
| first_indexed | 2024-03-08T20:49:11Z |
| format | Article |
| id | doaj.art-d1109516cdd34241a71680629284fddd |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-08T20:49:11Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d1109516cdd34241a71680629284fddd2023-12-22T14:05:42ZengMDPI AGEnergies1996-10732023-12-011624798410.3390/en16247984Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front MeasurementEduardo Barrela0Philippe Berthet1Mario Trani2Olivier Thual3Corentin Lapeyre4TotalEnergies S.E.—Centre Scientifique & Technique Jean Féger, Av. Larribau, 64000 Pau, FranceTotalEnergies S.E.—Centre Scientifique & Technique Jean Féger, Av. Larribau, 64000 Pau, FranceTotalEnergies S.E.—Centre Scientifique & Technique Jean Féger, Av. Larribau, 64000 Pau, FranceCentre Européen de Recherche et de Formation Avancée en Calcul Scientifique, 42 Av. Gaspard Coriolis, 31100 Toulouse, FranceCentre Européen de Recherche et de Formation Avancée en Calcul Scientifique, 42 Av. Gaspard Coriolis, 31100 Toulouse, FranceThe use of 4D seismic data in history matching has been a topic of great interest in the hydrocarbon industry as it can provide important information regarding changes in subsurfaces caused by fluid substitution and other factors where well data is not available. However, the high dimensionality and uncertainty associated with seismic data make its integration into the history-matching process a challenging task. Methods for adequate data reduction have been proposed in the past, but most address 4D information mismatch from a purely mathematical or image distance-based standpoint. In this study, we propose a quantitative and flow-based approach for integrating 4D seismic data into the history-matching process. By introducing a novel distance parametrization technique for measuring front mismatch information using streamlines, we address the problem from a flow-based standpoint; at the same time, we maintain the amount of necessary front data at a reduced and manageable amount. The proposed method is tested, and its results are compared on a synthetic case against another traditional method based on the Hausdorff distance. The effectiveness of the method is also demonstrated on a semi-synthetic model based on a real-case scenario, where the standard Hausdorff methodology could not be applied due to high data dimensionality.https://www.mdpi.com/1996-1073/16/24/7984four-dimensional seismichistory matchingensemble smoother with multiple data assimilationdistance-to-frontstreamlines |
| spellingShingle | Eduardo Barrela Philippe Berthet Mario Trani Olivier Thual Corentin Lapeyre Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement Energies four-dimensional seismic history matching ensemble smoother with multiple data assimilation distance-to-front streamlines |
| title | Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement |
| title_full | Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement |
| title_fullStr | Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement |
| title_full_unstemmed | Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement |
| title_short | Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement |
| title_sort | four dimensional history matching using es mda and flow based distance to front measurement |
| topic | four-dimensional seismic history matching ensemble smoother with multiple data assimilation distance-to-front streamlines |
| url | https://www.mdpi.com/1996-1073/16/24/7984 |
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