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

Authors: J. Mullins, H. van der Vegt and J. Howell
Event name: 80th EAGE Conference and Exhibition 2018
Session: Reservoir Characterization I (EAGE-SPE)
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201800772
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 12.19Mb )
Price: € 20

Summary:
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.


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