Coupled time‐lapse full‐waveform inversion for subsurface flow problems using intrusive automatic differentiation D Li, K Xu, JM Harris, E Darve Water Resources Research 56 (8), e2019WR027032, 2020 | 55* | 2020 |
Full waveform inversion with nonlocal similarity and model-derivative domain adaptive sparsity-promoting regularization D Li, JM Harris Geophysical Journal International 215 (3), 1841-1864, 2018 | 30 | 2018 |
Time‐evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California P Tong, D Yang, D Li, Q Liu Geophysical Research Letters 44 (7), 3165-3175, 2017 | 24 | 2017 |
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration Z Jiang, M Zhu, D Li, Q Li, YO Yuan, L Lu arXiv preprint arXiv:2303.04778, 2023 | 22 | 2023 |
SC-PSNET: A deep neural network for automatic P-and S-phase detection and arrival-time picker using 1C recordings J Zheng, JM Harris, D Li, B Al-Rumaih Geophysics 85 (4), U87-U98, 2020 | 15 | 2020 |
A deep learning approach for acoustic FWI with elastic data D Li, F Gao, P Williamson SEG International Exposition and Annual Meeting, D033S039R006, 2019 | 11 | 2019 |
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models D Li ICLR, 2023 | 3* | 2023 |
Multiparameter geophysical reservoir characterization augmented by generative networks D Li, H Denli, C MacDonald, K Basler-Reeder, A Baumstein, J Daves First International Meeting for Applied Geoscience & Energy, 1364-1368, 2021 | 3 | 2021 |
A generalized stabilization scheme for seismic Q compensation Y Wang, D Li, JM Harris SEG International Exposition and Annual Meeting, D043S109R002, 2019 | 3 | 2019 |
Learning hidden dynamics using intelligent automatic differentiation K Xu, D Li, E Darve, JM Harris arXiv preprint arXiv:1912.07547, 2019 | 2 | 2019 |
Automatic phase picker for single component borehole seismic data with deep neural network J Zheng, JM Harris, B Al-Rumaih, D Li SEG International Exposition and Annual Meeting, D023S014R007, 2019 | 2 | 2019 |
Method and system for augmented inversion and uncertainty quantification for characterizing geophysical bodies D Li, H Denli, C MacDonald, KJ Basler-Reeder US Patent App. 17/806,627, 2023 | 1 | 2023 |
Full-waveform inversion with prelearned dictionaries and nonlocal similarity D Li, JM Harris SEG International Exposition and Annual Meeting, SEG-2018-2997453, 2018 | 1 | 2018 |
Time-lapse Full-waveform Inversion of Dynamic Geophysical Processes with Examples from Multi-phase Flow D Li, K Xu, JM Harris, EF Darve AGU Fall Meeting Abstracts 2019, H32A-05, 2019 | | 2019 |
A new continuum model for subglacial till based on granular rheology A Damsgaard, J Suckale, D Li, I Kasmalkar, J Amundson, L Goren, ... | | 2019 |
Progress on understanding the subglacial hydrology over till beds with ramifications for ice dynamics and sediment transport J Suckale, I Kasmalkar, A Damsgaard, E Mantelli, A Cabrales-Vargas, ... | | 2019 |
Till Dynamics Underneath Ice Streams with a Nonlocal Dense Granular Flow Model D Li, J Suckale, A Cabrales-Vargas, A Damsgaard AGU Fall Meeting Abstracts 2016, C33A-0761, 2016 | | 2016 |
Taking advantage of the predictive potential of process-based models for ice exploration J Suckale, CW Elsworth, A Damsgaard, L Goren, A Cabrales-Vargas, D Li, ... AGU Fall Meeting Abstracts 2016, C51E-06, 2016 | | 2016 |