| A randomized maximum a posteriori method for posterior sampling of high dimensional nonlinear Bayesian inverse problems K Wang, T Bui-Thanh, O Ghattas SIAM Journal on Scientific Computing 40 (1), A142-A171, 2016 | 60 | 2016 |
| Estimating parameters in physical models through Bayesian inversion: A complete example M Allmaras, W Bangerth, JM Linhart, J Polanco, F Wang, K Wang, ... siam REVIEW 55 (1), 149-167, 2013 | 58 | 2013 |
| Deep reinforcement learning for generalizable field development optimization J He, M Tang, C Hu, S Tanaka, K Wang, XH Wen, Y Nasir SPE Journal 27 (01), 226-245, 2022 | 43 | 2022 |
| Deep reinforcement learning for constrained field development optimization in subsurface two-phase flow Y Nasir, J He, C Hu, S Tanaka, K Wang, XH Wen Frontiers in Applied Mathematics and Statistics 7, 689934, 2021 | 26 | 2021 |
| Velocity log upscaling based on reversible jump Markov chain Monte Carlo simulated annealing S Dadi, R Gibson, K Wang Geophysics 81 (5), R293-R305, 2016 | 15 | 2016 |
| Sequential ensemble transform for Bayesian inverse problems A Myers, AH Thiéry, K Wang, T Bui-Thanh Journal of Computational Physics 427, 110055, 2021 | 5 | 2021 |
| Quantification of uncertainty in velocity log upscaling using reversible jump MCMC S Dadi, RL Gibson Jr, K Wang SEG International Exposition and Annual Meeting, SEG-2015-5800873, 2015 | 5 | 2015 |
| Parallel Markov chain Monte Carlo methods for large scale statistical inverse problems K Wang Texas A&M University, 2014 | 4 | 2014 |
| Automatic, geologic layer-constrained well-seismic tie through blocked dynamic warping K Wang, J Lomask, F Segovia Interpretation 5 (3), SJ81-SJ90, 2017 | 3 | 2017 |
| Automatic, Geological Layer-Constrained Seismic-Well Tie Through Blocked Dynamic Warping K Wang, J Lomask, FR Segovia AAPG/SEG International Conference & Exhibition, 0 | 1 | |
| Physics informed deep learning models for improving shale and tight forecast scalability and reliability K Wang, L Deng, Y Cai, G Di Federico, K Ramsaran, MH Hui, ... Unconventional Resources Technology Conference, 17–19 June 2024, 1892-1902, 2024 | | 2024 |
| A NOVEL DISCRETE OPTIMAL TRANSPORT METHOD FOR BAYESIAN INVERSE PROBLEMS A Myers, T Bui-Thanh, K Wang, A Thiery 2017 AGU Fall Meeting, 2017 | | 2017 |
| a Novel Discrete Optimal Transport Method for Bayesian Inverse Problems T Bui-Thanh, A Myers, K Wang, A Thiery AGU Fall Meeting Abstracts 2017, NG23A-08, 2017 | | 2017 |
| Seismic well ties using blocking schemes K Wang, J Lomask, F Segovia WO Patent App. WO 2017142544 A1, 2017 | | 2017 |
| Automatic Well Log Correlation A Pollack, Y Peng, K Wang, MKK Shih, K Tracy, J Lomask AAPG Annual Convention and Exhibition, 0 | | |
Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinEmail verificata su ices.utexas.edu
