Imperial College London
Portrait Picture

Professor Gary Hampson

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Sedimentary Geology
 
 
 
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Contact

 

+44 (0)20 7594 6475g.j.hampson Website

 
 
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Location

 

1.42Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Deveugle:2014:10.1306/08281313035,
author = {Deveugle, PEK and Jackson, MD and Hampson, GJ and Stewart, J and Clough, MD and Ehighebolo, T and Farrell, ME and Calvert, CS and Miller, JK},
doi = {10.1306/08281313035},
journal = {AAPG Bulletin},
pages = {729--763},
title = {A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs},
url = {http://dx.doi.org/10.1306/08281313035},
volume = {98},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Multiple techniques are available to construct three-dimensional reservoir models. This study uses comparative analysis to test the impact of applying four commonly used stochastic modcling techniques to capture geologic heterogeneity and fluid-flow behavior in fluvial-dominated deltaic reservoirs of complex facies architecture: (1) sequential indicator simulation; (2) object-based modeling; (3) multiple-point statistics (MPS); and (4) spectral component geologic modeling. A reference for comparison is provided by a high-resolution model of an outcrop analog that captures facies architecture at the scale of parasequences, delta lobes, and fades-association belts. A sparse, pseudosubsurface data set extracted from the reference model is used to condition models constructed using each stochastic reservoir modeling technique. Models constructed using all four algorithms fail to match the facies-association proportions of the reference model because they are conditioned to well data that sample a small, unrepresentative volume of the reservoir. Simulated sweep efficiency is determined by the degree to which the modeling algorithms reproduce two aspects of fades architecture that control sand-body connectivity: (1) the abundance, continuity, and orientation of channelized fluvial sand bodies; and (2) the lateral continuity of barriers to vertical flow associated with flooding surfaces. The MPS algorithm performs best in this regard. However, the static and dynamic performance of the models (as measured against facies-association proportions, facies architecture, and recovery factor of the reference model) is more dependent on the quality and quantity of conditioning data and on the interpreted geologic scenario(s) implicit in the models than on the choice of modeling technique. Copyright ©2014. The American Association of Petroleum Geologists. All rights reserved.
AU  - Deveugle,PEK
AU  - Jackson,MD
AU  - Hampson,GJ
AU  - Stewart,J
AU  - Clough,MD
AU  - Ehighebolo,T
AU  - Farrell,ME
AU  - Calvert,CS
AU  - Miller,JK
DO  - 10.1306/08281313035
EP  - 763
PY  - 2014///
SN  - 0149-1423
SP  - 729
TI  - A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs
T2  - AAPG Bulletin
UR  - http://dx.doi.org/10.1306/08281313035
VL  - 98
ER  -
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