1-20 of 20
Weichang Li
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Comparing DAS and geophone data and imaging for monitoring CO 2 sequestration

Yong Ma, Weichang Li
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3734299
DOI: https://doi.org/10.1190/image2022-3734299.1
Add To Cart
View Paper titled, Comparing DAS and geophone data and imaging for monitoring CO 2 sequestration
Click here to open pdf in another window PDF for Comparing DAS and geophone data and imaging for monitoring CO 2 sequestration
Add to Citation Manager
Proceedings Papers

Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling

Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Weichang Li
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746223
DOI: https://doi.org/10.1190/image2022-3746223.1
Add To Cart
View Paper titled, Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling
Click here to open pdf in another window PDF for Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling
Add to Citation Manager
Proceedings Papers

Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers

Lei Fu, Daniele Colombo, Weichang Li, Ernesto Sandoval-Curiel, Ersan Turkoglu
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745792
DOI: https://doi.org/10.1190/image2022-3745792.1
Add To Cart
View Paper titled, Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Click here to open pdf in another window PDF for Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Add to Citation Manager
Proceedings Papers

A framework for coupled physics-deep learning inversion and multiparameter joint inversion

Daniele Colombo, Ersan Turkoglu, Weichang Li, Diego Rovetta
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583272
DOI: https://doi.org/10.1190/segam2021-3583272.1
Add To Cart
View Paper titled, A framework for coupled physics-deep learning inversion and multiparameter joint inversion
Click here to open pdf in another window PDF for A framework for coupled physics-deep learning inversion and multiparameter joint inversion
Add to Citation Manager
Proceedings Papers

Physics-constrained deep learning for ground-roll attenuation

Nam Pham, Weichang Li
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583447
DOI: https://doi.org/10.1190/segam2021-3583447.1
Add To Cart
View Paper titled, Physics-constrained deep learning for ground-roll attenuation
Click here to open pdf in another window PDF for Physics-constrained deep learning for ground-roll attenuation
Add to Citation Manager
Proceedings Papers

Deep network based geosteering inversion with cross-gradients

Yuchen Jin, Weichang Li
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583460
DOI: https://doi.org/10.1190/segam2021-3583460.1
Add To Cart
View Paper titled, Deep network based geosteering inversion with cross-gradients
Click here to open pdf in another window PDF for Deep network based geosteering inversion with cross-gradients
Add to Citation Manager
Proceedings Papers

Predicting density and velocity ahead of the bit with zero-offset VSP using deep learning

Vladimir Kazei, Aleksei Titov, Weichang Li, Konstantin Osypov
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594957
DOI: https://doi.org/10.1190/segam2021-3594957.1
Add To Cart
View Paper titled, Predicting density and velocity ahead of the bit with zero-offset VSP using deep learning
Click here to open pdf in another window PDF for Predicting density and velocity ahead of the bit with zero-offset VSP using deep learning
Add to Citation Manager
Proceedings Papers

Optimizing distributed acoustic sensing (DAS) acquisition: Test well design and automated data analysis

Harold Merry, Weichang Li, Max Deffenbaugh, Andrey Bakulin
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3419338
DOI: https://doi.org/10.1190/segam2020-3419338.1
Add To Cart
View Paper titled, Optimizing distributed acoustic sensing (DAS) acquisition: Test well design and automated data analysis
Click here to open pdf in another window PDF for Optimizing distributed acoustic sensing (DAS) acquisition: Test well design and automated data analysis
Add to Citation Manager
Proceedings Papers

Physics-driven deep learning joint inversion

Daniele Colombo, Weichang Li, Diego Rovetta, Ernesto Sandoval-Curiel, Ersan Turkoglu
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424997
DOI: https://doi.org/10.1190/segam2020-3424997.1
Add To Cart
View Paper titled, Physics-driven deep learning joint inversion
Click here to open pdf in another window PDF for Physics-driven deep learning joint inversion
Add to Citation Manager
Proceedings Papers

EM for reservoir monitoring: State of the art and a look to the future

Daniele Colombo, Gary W. McNeice, Weichang Li, Ernesto Sandoval-Curiel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216184
DOI: https://doi.org/10.1190/segam2019-3216184.1
Add To Cart
View Paper titled, EM for reservoir monitoring: State of the art and a look to the future
Click here to open pdf in another window PDF for EM for reservoir monitoring: State of the art and a look to the future
Add to Citation Manager
Proceedings Papers

Deep learning network optimization and hyper-parameter tuning

Michael Jervis, Mingliang Liu, Weichang Li, Robert Smith
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3209216
DOI: https://doi.org/10.1190/segam2019-3209216.1
Add To Cart
View Paper titled, Deep learning network optimization and hyper-parameter tuning
Click here to open pdf in another window PDF for Deep learning network optimization and hyper-parameter tuning
Add to Citation Manager
Proceedings Papers

3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network

Mingliang Liu, Weichang Li, Michael Jervis, Philippe Nivlet
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216797
DOI: https://doi.org/10.1190/segam2019-3216797.1
Add To Cart
View Paper titled, 3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network
Click here to open pdf in another window PDF for 3D seismic facies classification using convolutional neural network and semi-supervised generative adversarial network
Add to Citation Manager
Proceedings Papers

Rank revealing and vector optimization methods for adaptive robust denoising

Weichang Li, Ke Chen, Ferhan Ahmed, Woodon Jeong
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216833
DOI: https://doi.org/10.1190/segam2019-3216833.1
Add To Cart
View Paper titled, Rank revealing and vector optimization methods for adaptive robust denoising
Click here to open pdf in another window PDF for Rank revealing and vector optimization methods for adaptive robust denoising
Add to Citation Manager
Proceedings Papers

Deep learning-based EM inversion for reservoir monitoring

Weichang Li, Daniele Colombo, Ernesto Sandoval-Curiel
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-W4-02
DOI: https://doi.org/10.1190/segam2019-w4-02.1
Add To Cart
View Paper titled, Deep learning-based EM inversion for reservoir monitoring
Click here to open pdf in another window PDF for Deep learning-based EM inversion for reservoir monitoring
Add to Citation Manager
Proceedings Papers

Classifying geological structure elements from seismic images using deep learning

Weichang Li
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998036
DOI: https://doi.org/10.1190/segam2018-2998036.1
Add To Cart
View Paper titled, Classifying geological structure elements from seismic images using deep learning
Click here to open pdf in another window PDF for Classifying geological structure elements from seismic images using deep learning
Add to Citation Manager
Proceedings Papers

Wavelet crosscorrelation and its application to virtual source denoising

Yang Zhao, Weichang Li, Houzhu Zhang
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17660192
Add To Cart
View Paper titled, Wavelet crosscorrelation and its application to virtual source denoising
Click here to open pdf in another window PDF for Wavelet crosscorrelation and its application to virtual source denoising
Add to Citation Manager
Proceedings Papers

Estimation of passive microseismic event location using random sampling-based curve fitting

Lijun Zhu, Entao Liu, James McClellan, Yang Zhao, Weichang Li, Zefeng Li, Zhigang Peng
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17730445
Add To Cart
View Paper titled, Estimation of passive microseismic event location using random sampling-based curve fitting
Click here to open pdf in another window PDF for Estimation of passive microseismic event location using random sampling-based curve fitting
Add to Citation Manager
Proceedings Papers

Adaptively weighted Interferometric extrapolation of ocean-bottom node data

Weichang Li, Yang Zhao
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17732454
Add To Cart
View Paper titled, Adaptively weighted Interferometric extrapolation of ocean-bottom node data
Click here to open pdf in another window PDF for Adaptively weighted Interferometric extrapolation of ocean-bottom node data
Add to Citation Manager
Proceedings Papers

Signal distortion versus noise suppression in seismic data denoising

Weichang Li, Ke Chen, Sven Treitel
Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13819123
Add To Cart
View Paper titled, Signal distortion versus noise suppression in seismic data denoising
Click here to open pdf in another window PDF for Signal distortion versus noise suppression in seismic data denoising
Add to Citation Manager
Proceedings Papers

An Imaging Perspective of Low-Rank Seismic Data Interpolation and Denoising

Weichang Li, Yang Zhao
Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5918175
Add To Cart
View Paper titled, An Imaging Perspective of Low-Rank Seismic Data Interpolation and Denoising
Click here to open pdf in another window PDF for An Imaging Perspective of Low-Rank Seismic Data Interpolation and Denoising
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal