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 |
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 |
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 |
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 |
Efficient Underground Formation Characterization Using Transitional Markov Chain Monte Carlo Sampling H Lu, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang 2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP …, 2020 | 2 | 2020 |
Sparse PCE surrogate assisted inversion algorithm for ultra-deep electromagnetic resistivity logging-while-drilling data. H Lu, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019 | 1 | 2019 |
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 |
Transitional Reversible-Jump MCMC for Subsurface Characterization H Lu, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang 2022 United States National Committee of URSI National Radio Science Meeting …, 2022 | | 2022 |
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion H Lu, M Khalil, T Catanach, J Chen, X Wu, X Fu, C Safta, Y Huang arXiv preprint arXiv:2112.02180, 2021 | | 2021 |
Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation H Lu, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang SEG International Exposition and Annual Meeting, D021S003R004, 2020 | | 2020 |
Efficient Bi-fidelity Gradient-Based Method for Non-Linear Inverse Problems H Lu, J Chen, X Wu, X Fu, M Khalil, C Safta, Y Huang 2020 IEEE International Symposium on Antennas and Propagation and North …, 2020 | | 2020 |
GPU Acceleration for Triaxial Induction Logging Tool Responses in Layered Uniaixal Formation S Zeng, H Lu, X Fu, J Chen 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2019 | | 2019 |