--> Abstract: The Inclusion of Faults in Conventional Flow Simulation Models: A Consideration of Representational Assumptions and Geological Uncertainties, by Tom Manzocchi, John J. Walsh, Andrew E. Heath, Bala Palananthakumar, and Conrad Childs; #90078 (2008)

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The Inclusion of Faults in Conventional Flow Simulation Models: A Consideration of Representational Assumptions and Geological Uncertainties

Tom Manzocchi1, John J. Walsh1, Andrew E. Heath2, Bala Palananthakumar1, and Conrad Childs1
1Fault Analysis Group, University College Dublin, Dublin, Ireland
2Fault Analysis Group, University of Liverpool, Liverpool, United Kingdom

Even in circumstances when geologically-based methods are used to determine fault rock thicknesses and permeabilities for input into flow simulators, a wide range of simplifying assumptions regarding fault structure and content are still present. We examine many of these assumptions by defining quantitative and flexible methods for realistic parameterisation of fault-related uncertainties, and by defining automated methods for including these effects routinely in full-field flow simulation modelling. Fault effects considered include the two-phase properties of fault rocks, spatial distributions of naturally variable or uncertain single-phase fault rock properties and fault throws, and the frequencies and properties of sub-resolution fault system or fault zone complexities including sub-seismic faults, normal drag and damage zones, paired slip surfaces and fault relay zones. Innovative two-phase or geometrical up-scaling approaches implemented in a reservoir simulator pre-processor provide transmissibility solutions incorporating the effect, but represented within the geometrical framework of the full-field flow simulation model. The solutions and flexible workflows are applied and discussed within the context of a sensitivity study on two faulted versions of the same full-field flow simulation model and reveal significant influence of some of these generally-neglected fault-related assumptions and uncertainties.

 

AAPG Search and Discover Article #90078©2008 AAPG Annual Convention, San Antonio, Texas