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Impact of the en echelon fault connectivity on reservoir flow simulations

Charline Julio, Guillaume Caumon and Mary Ford
Impact of the en echelon fault connectivity on reservoir flow simulations (in Geophysical modeling for interpreters, William L. Abriel (prefacer), Rolf Ackermann (prefacer), Vincent Artus (prefacer), Carlos Calderon (prefacer), Feng Chen (prefacer), Steve Danbom (prefacer), Andreas Laake (prefacer), Isabelle Lecomte (prefacer), Joe Mongan (prefacer) and Jamie Rector (prefacer))
Interpretation (Tulsa) (November 2015) 3 (4): SAC23-SAC34

Abstract

Limited resolution and quality of seismic data and time requirements for seismic interpretation can prevent a precise description of the connections between faults. We have focused on the impact of the uncertainties related to the connectivity of en echelon fault arrays on fluid flow simulations. We used a set of 100 different stochastic models of the same en echelon fault array. These fault array models varied in the number of relay zones, relative position of fault segments, size of overlap zones, and number of relay faults. We automatically generated a flow model from each fault array model in four main steps: (1) stochastic computation of relay fault throw, (2) horizon building, (3) generation of a flow simulation grid, and (4) definition of the static and dynamic parameters. Flow simulations performed on these stochastic fault models with deterministic petrophysical parameters entailed significant variability of reservoir behavior, which cannot always discriminate between the types of fault segmentation. We observed that the simplest interpretation consisting of one fault yielded significantly biased water cut forecasts at production wells. This highlighted the importance of integrating fault connectivity uncertainty in reservoir behavior studies.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 4
Title: Impact of the en echelon fault connectivity on reservoir flow simulations
Title: Geophysical modeling for interpreters
Author(s): Julio, CharlineCaumon, GuillaumeFord, Mary
Author(s): Abriel, William L.prefacer
Author(s): Ackermann, Rolfprefacer
Author(s): Artus, Vincentprefacer
Author(s): Calderon, Carlosprefacer
Author(s): Chen, Fengprefacer
Author(s): Danbom, Steveprefacer
Author(s): Laake, Andreasprefacer
Author(s): Lecomte, Isabelleprefacer
Author(s): Mongan, Joeprefacer
Author(s): Rector, Jamieprefacer
Affiliation: Universite de Lorraine, GeoRessources, Vandoeuvre-les-Nancy, France
Affiliation: Orinda Geophysical, Orinda, CA, United States
Pages: SAC23-SAC34
Published: 201511
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 44
Accession Number: 2016-007525
Categories: Structural geologyEconomic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
Secondary Affiliation: Rock Solid Images, USA, United StatesKappa Engineering, USA, United StatesIon Geophysical, USA, United StatesCGG, USA, United StatesRice University, USA, United StatesSchlumberger, USA, United StatesNORSAR, NOR, NorwayTullow Oil, GBR, United KingdomLawrence Berkeley National Laboratory, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201604
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