| Impact of well shut-in after hydraulic-fracture treatments on productivity and recovery of tight oil reservoirs E Eltahan, FB Rego, W Yu, K Sepehrnoori Journal of Petroleum Science and Engineering 203, 108592, 2021 | 31 | 2021 |
| A field pilot of huff-n-puff gas injection for enhanced oil recovery in Permian Basin R Ganjdanesh, E Eltahan, K Sepehrnoori, H Drozd, R Ambrose SPE Annual Technical Conference and Exhibition?, D021S019R002, 2020 | 22 | 2020 |
| Assisted history matching using Bayesian inference: Application to multi-well simulation of a huff-n-puff pilot test in the Permian Basin E Eltahan, R Ganjdanesh, W Yu, K Sepehrnoori, H Drozd, R Ambrose Unconventional Resources Technology Conference, 20–22 July 2020, 278-294, 2020 | 20 | 2020 |
| Modeling Naturally and Hydraulically Fractured Reservoirs with Artificial Intelligence and Assisted History Matching Methods Using Physics-Based Simulators E Eltahan, W Yu, K Sepehrnoori, E Kerr, J Miao, R Ambrose SPE Western Regional Meeting, D041S013R002, 2019 | 20 | 2019 |
| Wettability alteration and improved oil recovery in unconventional resources FB Rego, E Eltahan, K Sepehrnoori Journal of Petroleum Science and Engineering 212, 110292, 2022 | 16 | 2022 |
| Impact of well shut-in after hydraulic-fracture treatments on productivity and recovery in shale oil reservoirs E Eltahan, F Bordeaux Rego, W Yu, K Sepehrnoori SPE Improved Oil Recovery Conference?, D011S003R003, 2020 | 15 | 2020 |
| Machine learning approach to improve calculated bottom-hole pressure E Eltahan, R Ganjdanesh, W Yu, K Sepehrnoori, R Williams, J Nohavitsa Unconventional Resources Technology Conference, 26–28 July 2021, 3136-3156, 2021 | 10 | 2021 |
| Analysis of well interference in Delaware Basin: A physics-based and data-driven approach E Eltahan, S Tavassoli, B Casey, G McDaid, E Goodman Unconventional Resources Technology Conference, 26–28 July 2021, 3240-3262, 2021 | 8 | 2021 |
| Uncertainty quantification of unconventional reservoirs using assisted history matching methods EMK Eltahan | 7 | 2019 |
| A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients E Eltahan, FO Alpak, K Sepehrnoori Computational Geosciences 27 (4), 627-648, 2023 | 6 | 2023 |
| On the Inference of Gas Diffusion Coefficient in Organic Matter of Shale Gas Reservoirs E Eltahan, M Mehrabi, K Sepehrnoori, F Javadpour SPE Annual Technical Conference and Exhibition?, D031S039R007, 2020 | 6 | 2020 |
| Predictive analysis of well interference in tight oil Reservoirs S Tavassoli, E Eltahan, K Smye, G McDaid, E Goodman SPE/AAPG/SEG Unconventional Resources Technology Conference, D021S041R004, 2021 | 4 | 2021 |
| Development of robust and efficient optimization algorithms for subsurface field development under uncertainty EMK Eltahan | 3 | 2024 |
| Predicting Oil Recovery Under Uncertainty for Huff-n-Puff Gas Injection: A Field Case Study in Permian E Eltahan, R Ganjdanesh, K Sepehrnoori, MD Thuesen, JC Nohavitza Unconventional Resources Technology Conference, 26–28 July 2021, 203-218, 2021 | 3 | 2021 |
| A Quasi-Newton Trust-Region Method for Well Location Optimization Under Uncertainty E Eltahan, FO Alpak, K Sepehrnoori SPE Journal 29 (10), 5559-5575, 2024 | 2 | 2024 |
| Optimizing hydrogen storage in the subsurface using a reservoir-simulation-based and deep-learning-accelerated optimization method E Eltahan, DJ Albadan, M Delshad, K Sepehrnoori, FO Alpak SPE Annual Technical Conference and Exhibition?, D021S028R002, 2024 | 2 | 2024 |
| Analytical Estimation of Hydrogen Storage Capacity in Depleted Gas Reservoirs: A Comprehensive Material Balance Approach D Albadan, M Delshad, BRB Fernandes, E Eltahan, K Sepehrnoori Applied Sciences 14 (16), 7087, 2024 | 2 | 2024 |
| A Quasi-Newton Method for Well Location Optimization Under Uncertainty E Eltahan, FO Alpak, K Sepehrnoori SPE Reservoir Simulation Conference, D010S001R007, 2023 | 2 | 2023 |
| Physics-based and data-driven wettability alteration model F Bordeaux-Rego, M Mehrabi, E Eltahan, K Sepehrnoori SPE Improved Oil Recovery Conference?, D021S021R001, 2022 | 2 | 2022 |
| Deep learning-driven acceleration of stochastic gradient methods for well location optimization under uncertainty E Eltahan, K Sepehrnoori, FO Alpak SPE Annual Technical Conference and Exhibition?, D021S018R006, 2024 | 1 | 2024 |
Kamy SepehrnooriProfessor at The University of Texas at AustinVahvistettu sähköpostiosoite verkkotunnuksessa mail.utexas.edu