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

Conference paper (2018)

Authors

J. Mullins University of Aberdeen
Helena van der Vegt Applied Geology - CEG
J. Howell University of Aberdeen
Research Group
Applied Geology (CEG) (TU Delft)
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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Engineering

Research Group

Applied Geology

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.

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