MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning T Alkhalifah, H Wang, O Ovcharenko Artificial Intelligence in Geosciences 3, 101-114, 2022 | 59 | 2022 |
Microseismic imaging using a source function independent full waveform inversion method H Wang, T Alkhalifah Geophysical Journal International 214 (1), 46-57, 2018 | 57 | 2018 |
OpenFWI: Large-scale multi-structural benchmark datasets for full waveform inversion C Deng, S Feng, H Wang, X Zhang, P Jin, Y Feng, Q Zeng, Y Chen, Y Lin Advances in Neural Information Processing Systems 35, 6007-6020, 2022 | 49 | 2022 |
Data-driven microseismic event localization: An application to the Oklahoma Arkoma basin hydraulic fracturing data H Wang, T Alkhalifah, U bin Waheed, C Birnie IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 32 | 2021 |
Microseismic imaging using a source-independent full-waveform inversion method H Wang SEG Technical Program Expanded Abstracts 2016, 2596-2600, 2016 | 22 | 2016 |
Solving seismic wave equations on variable velocity models with Fourier neural operator B Li, H Wang, S Feng, X Yang, Y Lin IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023 | 21 | 2023 |
Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set H Wang, Q Guo, T Alkhalifah, Z Wu Geophysics 85 (6), KS207-KS219, 2020 | 21 | 2020 |
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks H Wang, T Alkhalifah Geophysics 86 (6), KS109-KS121, 2021 | 19 | 2021 |
Time reversal migration for passive sources using a maximum variance imaging condition H Wang, T Alkhalifah 79th EAGE Conference and Exhibition 2017 2017 (1), 1-5, 2017 | 12 | 2017 |
Micro-seismic imaging using a source independent full waveform inversion method: 86th Annual International Meeting, SEG, Expanded Abstracts, 2596–2600 H Wang, T Alkhalifah Abstract, 2016 | 8 | 2016 |
Learned full waveform inversion incorporating task information for ultrasound computed tomography L Lozenski, H Wang, F Li, M Anastasio, B Wohlberg, Y Lin, U Villa IEEE Transactions on Computational Imaging, 2024 | 7 | 2024 |
Predict passive seismic events with a convolutional neural network H Wang, T Alkhalifah, Q Hao SEG International Exposition and Annual Meeting, D041S088R005, 2020 | 5 | 2020 |
EFWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu, P Jin, Y Chen, Y Lin NeurIPS, 2023 | 3 | 2023 |
Passive seismic full-waveform inversion with unknown onsets in an orthorhombic anisotropic medium H Wang, T Alkhalifah SEG International Exposition and Annual Meeting, D043S142R002, 2019 | 3 | 2019 |
Regularized passive elastic full-waveform inversion with an unknown source H Wang, Q Guo, T Alkhalifah, Z Wu SEG Technical Program Expanded Abstracts 2018, 2932-2936, 2018 | 3 | 2018 |
Does Full Waveform Inversion Benefit from Big Data? P Jin, Y Feng, S Feng, H Wang, Y Chen, B Consolvo, Z Liu, Y Lin arXiv preprint arXiv:2307.15388, 2023 | 2 | 2023 |
: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu, P Jin, Y Chen, Y Lin Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations H Wang, Y Chen, T Alkhalifah, Y Lin Third International Meeting for Applied Geoscience & Energy, 386-390, 2023 | 1 | 2023 |
Data driven methods for ultrasound computed tomography L Lozenski, H Wang, B Wohlberg, U Villa, Y Lin Medical Imaging 2023: Physics of Medical Imaging 12463, 141-147, 2023 | 1 | 2023 |
Deep Earth: Leveraging neural networks for seismic exploration objectives T Alkhalifah, C Birnie, R Harsuko, H Wang, O Ovcharenko SEG International Exposition and Annual Meeting, D011S123R004, 2022 | 1 | 2022 |