Stochastic seismic waveform inversion using generative adversarial networks as a geological prior

10 June 2018

Papers citing "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"

47 / 47 papers shown

Title
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 14 0 0 10 Oct 2024
Stochastic full waveform inversion with deep generative prior for uncertainty quantification Yuke Xie Hervé Chauris N. Desassis 21 0 0 07 Jun 2024
Elastic Full-Waveform Inversion : How the physics of problem improves data-driven techniques? Vahid Negahdari S. R. Moghadasi Mohammad Reza Razvan 16 0 0 04 Jun 2024
Multi-fidelity Hamiltonian Monte Carlo Dhruv V. Patel Jonghyun Lee Matthew W. Farthing P. Kitanidis Eric F. Darve 32 0 0 08 May 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 11 4 0 09 Feb 2024
Wave Physics-informed Matrix Factorizations Harsha Vardhan Tetali J. Harley B. Haeffele 8 0 0 21 Dec 2023
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network Anran Xu L. Heagy 22 4 0 07 Dec 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 22 0 0 27 Sep 2023
A prior regularized full waveform inversion using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 21 25 0 22 Jun 2023
Learning 4DVAR inversion directly from observations Arthur Filoche J. Brajard A. Charantonis Dominique Béréziat 14 2 0 17 Nov 2022
Solving Inverse PDE Problems using Grid-Free Monte Carlo Estimators Ekrem Fatih Yilmazer Delio Vicini Wenzel Jakob 14 11 0 03 Aug 2022
Deep Preconditioners and their application to seismic wavefield processing M. Ravasi 14 2 0 20 Jul 2022
A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements Aser Abbas J. Vantassel B. Cox Krishna Kumar J. Crocker 11 8 0 19 Jul 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks Qingqing Zhao David B. Lindell Gordon Wetzstein AI4CE 23 40 0 01 Jun 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 11 1 0 24 Apr 2022
Generating unrepresented proportions of geological facies using Generative Adversarial Networks A. Abdellatif A. Elsheikh G. Graham Daniel Busby Philippe Berthet CVBM GAN AI4CE 9 9 0 17 Mar 2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems Sean Gunn Jorio Cocola Paul Hand GAN 11 2 0 08 Mar 2022
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems Sayantan Bhadra Umberto Villa M. Anastasio MedIm 19 3 0 10 Feb 2022
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 10 2 0 07 Dec 2021
Direct multi-modal inversion of geophysical logs using deep learning S. Alyaev A. Elsheikh AI4CE 18 9 0 29 Nov 2021
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion Chengyuan Deng Shihang Feng Hanchen Wang Xitong Zhang Peng Jin Yinan Feng Qili Zeng Yinpeng Chen Youzuo Lin AI4CE 43 26 0 04 Nov 2021
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop Peng Jin Xitong Zhang Yinpeng Chen Sharon X. Huang Zicheng Liu Youzuo Lin 60 31 0 14 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 11 19 0 10 Oct 2021
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning Sayan Ghosh G. A. Padmanabha Cheng Peng Steven Atkinson Valeria Andreoli Piyush Pandita T. Vandeputte N. Zabaras Liping Wang AI4CE 14 13 0 17 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 11 33 0 22 Jul 2021
Wave-Informed Matrix Factorization with Global Optimality Guarantees Harsha Vardhan Tetali J. Harley B. Haeffele 9 1 0 19 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 8 43 0 21 Jun 2021
Seismic Inverse Modeling Method based on Generative Adversarial Network Pengfei Xie Yanshu Yin Jiagen Hou Mei Chen Lixin Wang GAN 8 1 0 08 Jun 2021
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion S. Mache P. Pokala K. Rajendran C. Seelamantula 29 4 0 01 May 2021
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks Marcus Saraiva Avelino Forechi Jorcy de Oliveira Neto A. DelRey T. Rauber 11 5 0 30 Apr 2021
Fast ABC with joint generative modelling and subset simulation Eliane Maalouf D. Ginsbourger N. Linde 8 0 0 16 Apr 2021
Learning by example: fast reliability-aware seismic imaging with normalizing flows Ali Siahkoohi Felix J. Herrmann OOD 17 12 0 13 Apr 2021
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network S. Mache P. Pokala K. Rajendran C. Seelamantula 23 8 0 10 Apr 2021
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems Yin Xia N. Zabaras 12 23 0 04 Feb 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 56 31 0 11 Jan 2021
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 11 35 0 16 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 16 137 0 16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 6 467 0 12 May 2020
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization G. Rizzuti Ali Siahkoohi Philipp A. Witte Felix J. Herrmann UQCV 9 17 0 16 Apr 2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach Ali Siahkoohi G. Rizzuti Felix J. Herrmann 12 20 0 01 Apr 2020
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification Ali Siahkoohi G. Rizzuti Felix J. Herrmann UQCV BDL 26 20 0 13 Jan 2020
Learned imaging with constraints and uncertainty quantification Felix J. Herrmann Ali Siahkoohi G. Rizzuti UQCV 6 23 0 13 Sep 2019
Complex-valued neural networks for machine learning on non-stationary physical data Jesper Sören Dramsch M. Lüthje Anders Christensen 18 35 0 29 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 12 13 0 14 May 2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology Shing Chan A. Elsheikh GAN OOD 12 35 0 07 Apr 2019
Inverting The Generator Of A Generative Adversarial Network Antonia Creswell Anil Anthony Bharath GAN 149 337 0 17 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 177 5,138 0 16 Sep 2016