Behnam Jafarpour

Affiliations: 
Texas A & M University, College Station, TX, United States 
Area:
Petroleum Engineering
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"Behnam Jafarpour"

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Dennis B. McLaughlin grad student USC
 (Professor, USC https://viterbi.usc.edu/directory/faculty/Jafarpour/Behnam)
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Publications

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Razak SM, Jafarpour B. (2020) Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios Computational Geosciences. 24: 1-25
Golmohammadi A, Jafarpour B. (2020) Reducing uncertainty in conceptual prior models of complex geologic systems via integration of flow response data Computational Geosciences. 24: 161-180
Jahandideh A, Jafarpour B. (2020) Closed-loop stochastic oilfield optimization for hedging against geologic, development, and operation uncertainty Computational Geosciences. 24: 129-148
Ma W, Jafarpour B, Qin J. (2019) Dynamic characterization of geologic CO2 storage aquifers from monitoring data with ensemble Kalman filter International Journal of Greenhouse Gas Control. 81: 199-215
Ma W, Jafarpour B. (2019) Assessing Multiple-Point Statistical Facies Simulation Behavior for Effective Conditioning on Probabilistic Data Mathematical Geosciences. 51: 975-998
Khodabakhshi M, Jafarpour B, King MJ. (2019) Inference of Global Reservoir Connectivity from Static Pressure Data with Fast Coarse-Scale Simulation Models Mathematical Geosciences. 51: 625-648
Khaninezhad R, Golmohammadi A, Jafarpour B. (2019) A pattern-matching method for flow model calibration under training image constraint Computational Geosciences. 23: 813-828
Ma W, Jafarpour B. (2019) Integration of soft data into multiple-point statistical simulation: re-assessing the probability conditioning method for facies model calibration Computational Geosciences. 23: 683-703
Elahi SH, Jafarpour B. (2018) Dynamic Fracture Characterization From Tracer-Test and Flow-Rate Data With Ensemble Kalman Filter Spe Journal. 23: 449-466
Khaninezhad MRM, Jafarpour B. (2018) Field-scale history matching with sparse geologic dictionaries Journal of Petroleum Science and Engineering. 170: 967-991
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