| Parallel multiple-chain DRAM MCMC for large-scale geosteering inversion and uncertainty quantification H Lu, Q Shen, J Chen, X Wu, X Fu Journal of Petroleum Science and Engineering 174, 189-200, 2019 | 39 | 2019 |
| A physics-driven deep-learning network for solving nonlinear inverse problems Y Jin, Q Shen, X Wu, J Chen, Y Huang Petrophysics 61 (01), 86-98, 2020 | 35 | 2020 |
| Solving geosteering inverse problems by stochastic Hybrid Monte Carlo method Q Shen, X Wu, J Chen, Z Han, Y Huang Journal of Petroleum Science and Engineering 161, 9-16, 2018 | 31 | 2018 |
| Sensitivity study and uncertainty quantification of azimuthal propagation resistivity measurements H Wang, Q Shen, J Chen SPWLA Annual Logging Symposium, D043S005R003, 2018 | 21 | 2018 |
| Inversion and uncertainty assessment of ultra-deep azimuthal resistivity logging-while-drilling measurements using particle swarm optimization L Yan, Q Shen, H Lu, H Wang, X Fu, J Chen Journal of Applied Geophysics 178, 104059, 2020 | 17 | 2020 |
| Distributed Markov Chain Monte Carlo Method on Big-Data Platform for Large-Scale Geosteering Inversion Using Directional Electromagnetic Well Logging Measurements. Q Shen, X Wu, J Chen, Z Han Applied Computational Electromagnetics Society Journal 32 (5), 2017 | 17 | 2017 |
| Automated gamma-ray log pattern alignment and depth matching by machine learning S Wang, Q Shen, X Wu, J Chen Interpretation 8 (3), SL25-SL34, 2020 | 12 | 2020 |
| Data-driven interpretation of ultradeep azimuthal propagation resistivity measurements: Transdimensional stochastic inversion and uncertainty quantification Q Shen, J Chen, H Wang Petrophysics 59 (06), 786-798, 2018 | 12 | 2018 |
| Parallel tempered trans-dimensional Bayesian inference for the inversion of ultra-deep directional logging-while-drilling resistivity measurements Q Shen, J Chen, X Wu, Z Han, Y Huang Journal of Petroleum Science and Engineering 188, 106961, 2020 | 10 | 2020 |
| Statistical geosteering inversion by Hamiltonian dynamics Monte Carlo method Q Shen, H Lu, X Wu, X Fu, J Chen, Z Han, Y Huang SEG International Exposition and Annual Meeting, SEG-2017-17663093, 2017 | 7 | 2017 |
| Deep learning enhanced joint geophysical inversion for crosswell monitoring Y Hu, Y Jin, X Wu, J Chen, J Chen, Q Shen, Y Huang 2021 United States National Committee of URSI National Radio Science Meeting …, 2021 | 6 | 2021 |
| Total variation denoising of azimuthal resistivity inversion in geosteering Q Shen, J Chen, Z Han SEG Technical Program Expanded Abstracts 2016, 719-723, 2016 | 4 | 2016 |
| Bifidelity gradient-based approach for nonlinear well-logging inverse problems H Lu, Q Shen, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang IEEE Journal on Multiscale and Multiphysics Computational Techniques 5, 132-143, 2020 | 3 | 2020 |
| Transdimensional geosteering inversion: A data-driven schematic for geophysical interpretation and uncertainty quantification Q Shen, J Chen, X Wu, Z Han, H Wang SEG International Exposition and Annual Meeting, SEG-2018-2998450, 2018 | 3 | 2018 |
| Statistical Inversion of Electromagnetic Logging Data Q Shen, J Chen, X Wu, Y Huang, Z Han Springer International Publishing, 2021 | 2 | 2021 |
| Multilayer-geosteering inversion using particle-swarm optimization L Yan, H Lu, Q Shen, H Wang, X Fu, J Chen SEG International Exposition and Annual Meeting, SEG-2018-2998340, 2018 | 1 | 2018 |
| MCMC for large-scale geosteering inversion with a scalable MPI implementation H Lu, Q Shen, X Wu, J Chen, X Fu 2018 United States National Committee of URSI National Radio Science Meeting …, 2018 | 1 | 2018 |
| Bayesian Inversion and Sampling Methods Q Shen, J Chen, X Wu, Y Huang, Z Han, Q Shen, J Chen, X Wu, Y Huang, ... Statistical Inversion of Electromagnetic Logging Data, 17-29, 2021 | | 2021 |
| Beyond the Random-Walk: A Hybrid Monte Carlo Sampling Q Shen, J Chen, X Wu, Y Huang, Z Han, Q Shen, J Chen, X Wu, Y Huang, ... Statistical Inversion of Electromagnetic Logging Data, 31-41, 2021 | | 2021 |
| Interpret Model Complexity: Trans-Dimensional MCMC Method Q Shen, J Chen, X Wu, Y Huang, Z Han, Q Shen, J Chen, X Wu, Y Huang, ... Statistical Inversion of Electromagnetic Logging Data, 43-59, 2021 | | 2021 |
Jiefu ChenUniversity of HoustonVerified email at uh.edu
