| A discrepancy based penalty method for extended waveform inversion L Fu, WW Symes Geophysics 82 (5), R287-R298, 2017 | 42 | 2017 |
| An adaptive multiscale algorithm for efficient extended waveform inversion L Fu, WW Symes Geophysics 82 (3), R183-R197, 2017 | 27 | 2017 |
| Synthetic sonic log generation with machine learning: A contest summary from five methods Y Yu, C Xu, S Misra, W Li, M Ashby, W Pan, T Deng, H Jo, JE Santos, L Fu, ... Petrophysics 62 (04), 393-406, 2021 | 23 | 2021 |
| Reducing the cost of extended waveform inversion by multiscale adaptive methods L Fu, WW Symes SEG International Exposition and Annual Meeting, SEG-2015-5917336, 2015 | 18 | 2015 |
| Local events-based fast RTM surface-offset gathers via dip-guided interpolation Y Zhao, FL Niu, L Fu, C Cheng, JH Chen, SD Huo Petroleum Science 18, 773-782, 2021 | 14 | 2021 |
| Machine learning in petrophysics: Advantages and limitations C Xu, L Fu, T Lin, W Li, S Ma Artificial Intelligence in Geosciences 3, 157-161, 2022 | 13 | 2022 |
| Augment time-domain FWI with iterative deep learning T Zhao, A Abubakar, X Cheng, L Fu SEG International Exposition and Annual Meeting, D041S082R001, 2020 | 8 | 2020 |
| Fast extended waveform inversion using Morozovs discrepancy principle L Fu, W Symes TRIP 2016 Annual Report: The Rice Inversion Project, 2016 | 5 | 2016 |
| Induced polarization effect in time domain: Theory, modeling, and applications L Fu The University of Utah, 2011 | 3 | 2011 |
| Well Log Prediction Using Deep Sequence Learning W Li, L Fu, MJ AlTammar ARMA/DGS/SEG International Geomechanics Symposium, ARMA-IGS-2022-184, 2022 | 2 | 2022 |
| Diffusion Model for DAS-VSP Data Denoising D Zhu, L Fu, V Kazei, W Li Sensors 23 (20), 8619, 2023 | 1 | 2023 |
| Deep Learning based DAS to Geophone Data Transformation L Fu, W Li, Y Ma IEEE Sensors Journal, 2023 | 1 | 2023 |
| Imaging distributed acoustic sensing-to-geophone conversion data: A field application to CO2 sequestration data Y Ma, L Fu, W Li Interpretation 11 (2), SB1-SB10, 2023 | 1 | 2023 |
| Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers L Fu, D Colombo, W Li, E Sandoval-Curiel, E Turkoglu SEG International Exposition and Annual Meeting, D011S101R003, 2022 | 1 | 2022 |
| Permian Basin seismic data reprocessing: A case study Y Yan, X Zhu, J Jiao, P Deng, B Yang, L Fu, E Oropeza, J Chen, S Mueller SEG International Exposition and Annual Meeting, SEG-2017-17730684, 2017 | 1 | 2017 |
| Accelerate subsurface-offset extended waveform inversion by adaptive methods L Fu, WW Symes International Geophysical Conference, Qingdao, China, pp. 55-58, 2017 | 1 | 2017 |
| Automatic Depth Shifting by Identifying and Matching Events on Well Logs C Xu, L Fu, T Lin, W Li, Y Alzayer, Z Al Ibrahim Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir …, 2024 | | 2024 |
| Method and system for mapping fiber optic distributed acoustic sensing measurements to particle motion F Lei, L Weichang | | 2024 |
| Well-Log-Based Reservoir Property Estimation With Machine Learning: A Contest Summary L Fu, Y Yu, C Xu, M Ashby, A McDonald, W Pan, T Deng, I Szabó, ... Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir …, 2024 | | 2024 |
| PREDICTING MISSING SONIC LOGS WITH SEISMIC CONSTRAINT N Pham, L Fu, W Li Geophysics 89 (3), 1-57, 2024 | | 2024 |
Weichang LiAramco Houston Research CenterVerified email at alum.mit.edu
