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Characterizing partially sealing faults - An artificial neural network approach
G. Aydinoglu, M. Bhat, T. Ertekin
John and Willie Leone Department of Energy & Mineral Engineering (EME)
Institute for Computational and Data Sciences (ICDS)
Research output
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Contribution to journal
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Article
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peer-review
4
Scopus citations
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Keyphrases
Artificial Neural Network
100%
Artificial Neural Network Method
100%
Well Testing
100%
Neural Network Method
50%
Hydrocarbon Reservoir
50%
Effective Tool
50%
Pressure Transients
50%
Inverse Solution
50%
Forward Solution
50%
Engineering Tools
50%
Complex Domain
50%
Neural Network Technologies
50%
Pressure Transient Analysis
50%
Transient Information
50%
Test Theory
50%
Engineering
Artificial Neural Network
100%
Inverse Solution
66%
Well Testing
66%
Transients
33%
Anisotropic
33%
Transient Analysis
33%
Solution Method
33%
Engineering Tool
33%
Primary Goal
33%
Earth and Planetary Sciences
Well Testing
66%