Impact of the en-echelon fault connectivity on reservoir flow simulations

Charline Julio and Guillaume Caumon and Mary Ford. ( 2015 )
in: Interpretation, 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 focus on the impact of the uncertainties related to the connectivity of en-echelon fault arrays on fluid flow simulations. We use a set of one hundred different stochastic models of the same en-echelon fault array. These fault array models vary in number of relay zones, relative position of fault segments, size of overlap zones and number of relay faults. We automatically generate 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 these stochastic fault models with deterministic petrophysical parameters entail significant variability of reservoir behavior, which cannot always discriminate between the types of fault segmentation. We observe that the simplest interpretation consisting of one fault significantly yields significantly biased water cut forecasts at production wells. This highlights the importance of integrating fault connectivity uncertainty in reservoir behavior studies.

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BibTeX Reference

@ARTICLE{,
    author = { Julio, Charline and Caumon, Guillaume and Ford, Mary },
     title = { Impact of the en-echelon fault connectivity on reservoir flow simulations },
   journal = { Interpretation },
    volume = { 3 },
    number = { 4 },
      year = { 2015 },
     pages = { SAC23-SAC34 },
       doi = { 10.1190/INT-2015-0060.1 },
  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 focus on the impact of the uncertainties related to the connectivity of en-echelon fault arrays on fluid flow simulations. 
We use a set of one hundred different stochastic models of the same en-echelon fault array. 
These fault array models vary in number of relay zones, relative position of fault segments, size of overlap zones and number of relay faults.  
We automatically generate 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 these stochastic fault models with deterministic
petrophysical parameters entail significant variability
of reservoir behavior, which cannot always discriminate between the
types of fault segmentation. We observe that the simplest interpretation 
consisting of one fault significantly yields significantly biased water cut 
forecasts at production wells. This highlights the importance of integrating 
fault connectivity uncertainty in reservoir behavior studies. }
}