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Full waveform inversion (FWI) is widely used in geophysics to reconstruct high-resolution velocity maps from seismic data.
Absorbing boundary conditions for numerical simulation of waves
Björn Engquist and Andrew Majda · 1977
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Design of an image edge detection filter using the sobel operator
Nick Kanopoulos, Nagesh Vasanthavada, and Robert L Baker · 1988
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Marmousi, model and data
A Brougois, Marielle Bourget, Patriek Lailly, Michel Poulet, Patrice Ricarte, and Roelof Versteeg · 1990
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Divergence measures based on the shannon entropy
Jianhua Lin · 1991
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Multiscale seismic waveform inversion
Carey Bunks, Fatimetou M Saleck, S Zaleski, and G Chavent · 1995
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Acquisition footprint—its detection and removal
Satinder Chopra and Glen Larsen · 2000
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Seismic inversion
Mrinal K Sen · 2006
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The finite-difference time-domain method for modeling of seismic wave propagation
Peter Moczo, Johan OA Robertsson, and Leo Eisner · 2007
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An overview of full-waveform inversion in exploration geophysics
J. Virieux and S. Operto · 2009
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Simultaneous multifrequency inversion of full-waveform seismic data
Wenyi Hu, Aria Abubakar, and Tarek M Habashy · 2009
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3D geologic modeling of the southern San Joaquin basin for the westcarb Kimberlina demonstration project-a status report
Jeffrey Wagoner · 2009
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3D Geologic Modeling of the Southern San Joaquin Basin for the Westcarb Kimberlina Demonstration Project- A Status Report
J. Wagoner · 2009
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Seismic imaging of complex onshore structures by 2d elastic frequency-domain full-waveform inversion
Romain Brossier, Stéphane Operto, and Jean Virieux · 2009
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Simultaneous full-waveform inversion for source wavelet and earth model
Ke Wang, Jerry R Krebs, Dave Hinkley, and Anatoly Baumstein · 2009
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Full seismic waveform modelling and inversion
Andreas Fichtner · 2010
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4D seismic monitoring of CO 2 sequestration
David Lumley · 2010
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A wave-energy-based precondition approach to full-waveform inversion in the time domain
Zhigang Zhang, Lianjie Huang, and Youzuo Lin · 2012
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Image-guided sparse-model full waveform inversion
Yong Ma, Dave Hale, Bin Gong, and Zhaobo Meng · 2012
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Blocky regularization schemes for full-waveform inversion
Antoine Guitton · 2012
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Double-difference elastic-waveform inversion with prior information for time-lapse monitoring
Zhigang Zhang and Lianjie Huang · 2013
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Image complexity and spatial information
Honghai Yu and Stefan Winkler · 2013
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Building starting models for full waveform inversion from wide-aperture data by stereotomography
Vincent Prieux, Gilles Lambaré, Stéphane Operto, and Jean Virieux · 2013
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Acoustic-and elastic-waveform inversion using a modified Total-Variation regularization scheme
Youzuo Lin and Lianjie Huang · 2014
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Cited alongside, same era.
Quantifying subsurface geophysical properties changes using double-difference seismic-waveform inversion with a modified Total-Variation regularization scheme
Youzuo Lin and Lianjie Huang · 2015
Cited alongside, same era.
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, and Yoshua Bengio · 2015
Cited alongside, same era.
Sparse representation-based image quality index with adaptive sub-dictionaries
Leida Li, Hao Cai, Yabin Zhang, Weisi Lin, Alex C Kot, and Xingming Sun · 2016
Cited alongside, same era.
Estimating a starting model for full-waveform inversion using a global optimization method
Debanjan Datta and Mrinal K Sen · 2016
Cited alongside, same era.
PhaseNet: a deep-neural-network-based seismic arrival-time picking method
Weiqiang Zhu and Gregory C Beroza · 2019
Later among the works it cites.
Multiscale reflection phase inversion with migration deconvolution
Yuqing Chen, Zongcai Feng, Lei Fu, Abdullah AlTheyab, Shihang Feng, and Gerard Schuster · 2020
Later among the works it cites.
Integrating physics-based modeling with machine learning: A survey
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, and Vipin Kumar · 2020
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Seismic velocity estimation: A deep recurrent neural-network approach
Gabriel Fabien-Ouellet and Rahul Sarkar · 2020
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Data-driven seismic waveform inversion: A study on the robustness and generalization
Zhongping Zhang and Youzuo Lin · 2020
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Mauricio Araya-Polo, Taylor Dahlke, Charlie Frogner, Chiyuan Zhang, Tomaso Poggio, and Detlef Hohl · 2017
Cited alongside, same era.
Seismic inversion
Gerard T Schuster · 2017
Cited alongside, same era.
Wasserstein gan
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
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Deep-learning tomography
Mauricio Araya-Polo, Joseph Jennings, Amir Adler, and Taylor Dahlke · 2018
Cited alongside, same era.
Geophysical inversion versus machine learning in inverse problems
Yuji Kim and Nori Nakata · 2018
Cited alongside, same era.
Velocity model building with a modified fully convolutional network
Wenlong Wang, Fangshu Yang, and Jianwei Ma · 2018
Cited alongside, same era.
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
Lukas Mosser, Olivier Dubrule, and Martin J Blunt · 2020
Later among the works it cites.
Velocity model building in a crosswell acquisition geometry with image-trained artificial neural networks
Wenlong Wang and Jianwei Ma · 2020
Later among the works it cites.
Multiscale phase inversion for vertical transverse isotropic media
Shihang Feng, Lei Fu, Zongcai Feng, and Gerard T Schuster · 2021
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Deep learning for seismic inverse problems: Toward the acceleration of geophysical analysis workflows
Amir Adler, Mauricio Araya-Polo, and Tomaso Poggio · 2021
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Multiscale data-driven seismic full-waveform inversion with field data study
Shihang Feng, Youzuo Lin, and Brendt Wohlberg · 2021
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Deep learning for seismic inverse problems: Toward the acceleration of geophysical analysis workflows
Amir Adler, Mauricio Araya-Polo, and Tomaso Poggio · 2021
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Deep-learning seismic full-waveform inversion for realistic structural modelsdl seismic fwi
Bin Liu, Senlin Yang, Yuxiao Ren, Xinji Xu, Peng Jiang, and Yangkang Chen · 2021
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Building complex seismic velocity models for deep learning inversion
Yuxiao Ren, Lichao Nie, Senlin Yang, Peng Jiang, and Yangkang Chen · 2021
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Elastic properties estimation from prestack seismic data using ggcnns and application on tight sandstone reservoir characterization
Hui Li, Jing Lin, Baohai Wu, Jinghuai Gao, and Naihao Liu · 2021
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Development of a multi-scale synthetic data set for the testing of subsurface CO 2 storage monitoring strategies
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Challenges in shallow target reconstruction by 3d elastic full-waveform inversion—which initial model?
Daniela Teodor, Cesare Comina, Farbod Khosro Anjom, Romain Brossier, Laura Valentina Socco, and Jean Virieux · 2021
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An intriguing property of geophysics inversion
Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, and Youzuo Lin · 2022
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Seismic impedance inversion based on cycle-consistent generative adversarial network
Yu-Qing Wang, Qi Wang, Wen-Kai Lu, Qiang Ge, and Xin-Fei Yan · 2022
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InversionNet3D: Efficient and scalable learning for 3-D full-waveform inversion
Qili Zeng, Shihang Feng, Brendt Wohlberg, and Youzuo Lin · 2022
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Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop
Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Huang, Zicheng Liu, and Youzuo Lin · 2022
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Physics-guided data-driven seismic inversion: Recent progress and future opportunities in full waveform inversion
Youzuo Lin, James Theiler, and Brendt Wohlberg · 2022
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Deep learning for velocity model building with common-image gather volumes
Zhicheng Geng, Zeyu Zhao, Yunzhi Shi, Xinming Wu, Sergey Fomel, and Mrinal Sen · 2022
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Science-informed machine learning for accelerating real-time decisions in subsurface applications (SMART) initiative, 2019 - 2029
U.S. Department of Energy · 2029
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