@inproceedings{b30c9174ebb34df5b80f26b035bb28f4,
title = "Combining Multiple Point Geostatistics and Process-based Models for Improved Reservoir Modelling",
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.",
author = "J. Mullins and {van der Vegt}, H. and J. Howell",
year = "2018",
month = jun,
day = "11",
doi = "10.3997/2214-4609.201800772",
language = "English",
series = "80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition",
publisher = "European Association of Geoscientists and Engineers, EAGE",
booktitle = "80th EAGE Conference and Exhibition 2018",
note = "80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition ; Conference date: 11-06-2018 Through 14-06-2018",
}