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Utilizing sedimentary process-based models as training images for multipoint facies simulations

Ingrid Aarnes, Helena van der Vegt, Ragnar Hauge, Bjorn Fjellvoll and Kjetil Nordahl
Utilizing sedimentary process-based models as training images for multipoint facies simulations (in Closing the gap; III, Advances in applied geomodeling for hydrocarbon reservoirs, David Garner (prefacer))
Bulletin of Canadian Petroleum Geology (December 2019) 67 (4): 217-230

Abstract

Geostatistical facies modeling algorithms are used in reservoir modeling workflows to create geological models which improve the predictive power of the flow simulation models. In heterogeneous reservoirs, it is of key importance to not only apply statistical techniques, but also incorporate prior geological knowledge. Fluvial dominated deltaic deposits can show a high degree of heterogeneity arising from the interaction of stacking of lobate deposits and the continuous erosion and deposition of the distributary channels while building the delta. To simulate these depositional structures, honouring the physical laws of nature, process-based models can be used to generate synthetic deposits. However, such results are driven by physics and therefore cannot be steered to honour exact well data. We address this challenge by integrating physics-driven process-based models with statistical techniques from MPS. Combining these two different methods is MPS relies on discreet geometric patterns. This is addressed by classifying the process-based model results into discreet facies. A major advantage of this integrated technique is the potential to generate multiple MPS training images through simulation of additional process-based model realizations and we also analyze the effect of using one versus multiple process-based models as input. In this work, we show how the best aspects of both process-based models and MPS modeling can be combined to create improved geological models.


ISSN: 0007-4802
Coden: BCPGAI
Serial Title: Bulletin of Canadian Petroleum Geology
Serial Volume: 67
Serial Issue: 4
Title: Utilizing sedimentary process-based models as training images for multipoint facies simulations
Title: Closing the gap; III, Advances in applied geomodeling for hydrocarbon reservoirs
Affiliation: Norwegian Computing Center, Oslo, Norway
Affiliation: TerraMod Consulting, Calgary, AB, Canada
Pages: 217-230
Published: 201912
Text Language: English
Publisher: Canadian Society of Petroleum Geologists, Calgary, AB, Canada
References: 32
Accession Number: 2021-008363
Categories: Sedimentary petrology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
Secondary Affiliation: Technical University of Delft, NLD, NetherlandsEquinor, NOR, Norway
Country of Publication: Canada
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Abstract, Copyright, Canadian Society of Petroleum Geologists. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 2021
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