Abstract
Reservoir models can be improved through the incorporation of process-based models as training images for simulation with MPS. Process-based models in this study are reported to be excellent sources of training images. When combined with knowledge of depositional stratigraphic information, delta complex architectural trends can be accurately reproduced. This approach is applicable to systems that are well constrained by knowledge of depositional processes that can be efficiently synthetized to generate an appropriate process model-derived training image.
| Original language | English |
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| Title of host publication | 80th EAGE Conference and Exhibition 2018 |
| Subtitle of host publication | Opportunities Presented by the Energy Transition |
| Publisher | European Association of Geoscientists and Engineers, EAGE |
| ISBN (Electronic) | 9789462822542 |
| DOIs | |
| Publication status | Published - 11 Jun 2018 |
| Event | 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Denmark Duration: 11 Jun 2018 → 14 Jun 2018 |
Publication series
| Name | 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition |
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Conference
| Conference | 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition |
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| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 11/06/18 → 14/06/18 |
Funding
The authors would like to atnkhethOFRCE ocnsortium A(erBPk, Bayerngas Norge, BP, Centrica, ConocoPhillips, DEA, Dong Energy, ENI Norge, GDF Suez, Lundin Norway, Point Resources, Repsol, Statoil, Suncor Energy, Total and VNG Norge), the Norwegian Petroleum Directorate (NPD) and the Research Council of Norway’s Petromaks 2 project (project number 234111/E30) for funding throughethASFARIhPase 3rpogramme. Schlumbergerreacaknowledged forproviding academic software licenses. The SURFsara high performance computing center, Amsterdam is thanked for use of their campus during the development of the process-models. The first author would like to thank MagdaChmielewskaforprocessingoftheivtural outcropomdels.