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2012
DOI: 10.1016/j.tecto.2012.03.012
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3D hybrid tectono-stochastic modeling of naturally fractured reservoir: Application of finite element method and stochastic simulation technique

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Cited by 15 publications
(3 citation statements)
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“…In this study, the discrete fracture network map was generated via the statistical analysis of field data (static data) procedures developed by Doonechaly and Rahman (2012) [34]. This technique integrates different field data to determine a distribution range of fracture properties (fracture orientation, fracture density, and fractal dimension); the integrated field data include core analysis, conventional well logs, seismic attributes, and wellbore images.…”
Section: History Matching Of Real Dynamic Data-field Scalementioning
confidence: 99%
See 1 more Smart Citation
“…In this study, the discrete fracture network map was generated via the statistical analysis of field data (static data) procedures developed by Doonechaly and Rahman (2012) [34]. This technique integrates different field data to determine a distribution range of fracture properties (fracture orientation, fracture density, and fractal dimension); the integrated field data include core analysis, conventional well logs, seismic attributes, and wellbore images.…”
Section: History Matching Of Real Dynamic Data-field Scalementioning
confidence: 99%
“…Generate the subsurface fracture realization using field data based on Doonechaly and Rahman (2012) approach [34].…”
Section: History Matching Of Real Dynamic Data-field Scalementioning
confidence: 99%
“…They found that the bulk equivalent permeability of the reservoir ranges between 8.6 × 10 −18 m 2 and 9.6 × 10 −16 m 2 . An innovative methodology is used to generate the 3 D subsurface fracture map of the reservoir (Gholizadeh Doonechaly & Rahman ). After generating the 3 D subsurface fracture map of the Soultz reservoir, a 3 D volume of the reservoir is selected at the depth range of 3600–3700 m, for the simulation of fluid flow, heat transfer, and rock deformation.…”
Section: Model Setup and Boundary Conditionsmentioning
confidence: 99%