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Hanchen Wang
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Year
Microseismic imaging using a source function independent full waveform inversion method
H Wang, T Alkhalifah
Geophysical Journal International 214 (1), 46-57, 2018
542018
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
532022
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
352022
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
322021
Microseismic imaging using a source-independent full-waveform inversion method
H Wang
SEG Technical Program Expanded Abstracts 2016, 2596-2600, 2016
222016
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks
H Wang, T Alkhalifah
Geophysics 86 (6), KS109-KS121, 2021
182021
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
182020
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
162023
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
122017
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
82016
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
62024
Predict passive seismic events with a convolutional neural network
H Wang, T Alkhalifah, Q Hao
SEG International Exposition and Annual Meeting, D041S088R005, 2020
52020
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
32019
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
32018
EFWI: Multi-parameter 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
CoRR, 2023
22023
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
22023
: 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
12024
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
12023
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
12023
Open-source Benchmark Algorithms for Data-driven Multiparameter Inversion of Geophysical Properties
H Wang, S Feng, C Deng, Y Feng, Y Chen, Y Lin
AGU23, 2023
2023
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