Combining Multiple Point Geostatistics and Process-based Models for Improved Reservoir Modelling

J. Mullins, Helena van der Vegt, J. Howell

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


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 languageEnglish
Title of host publication80th EAGE Conference and Exhibition 2018, 11-14 June, Copenhagen, Denmark
Number of pages5
Publication statusPublished - 2018
Event80th EAGE Conference and Exhibition 2018: Opportunities presented by the energy transition - Copenhagen, Denmark
Duration: 11 Jun 201814 Jun 2018
Conference number: 80


Conference80th EAGE Conference and Exhibition 2018
Abbreviated titleEAGE 2018
Internet address

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