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Title: Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]
  1. Key Laboratory of Tectonics and Petroleum Resources, Ministry of EducationChina University of Geosciences Wuhan China, Bureau of Economic Geology, Jackson School of GeosciencesThe University of Texas at Austin Austin TX USA
  2. Bureau of Economic Geology, Jackson School of GeosciencesThe University of Texas at Austin Austin TX USA
  3. Bureau of Economic Geology, Jackson School of GeosciencesThe University of Texas at Austin Austin TX USA, School of Earth and Space SciencesUniversity of Science and Technology of China Hefei China
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1603689
Grant/Contract Number:  
[FE0026515]
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Solid Earth
Additional Journal Information:
[Journal Name: Journal of Geophysical Research. Solid Earth Journal Volume: 125 Journal Issue: 3]; Journal ID: ISSN 2169-9313
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Zhong, Zhi, Sun, Alexander Y., and Wu, Xinming. Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes. United States: N. p., 2020. Web. doi:10.1029/2019JB018408.
Zhong, Zhi, Sun, Alexander Y., & Wu, Xinming. Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes. United States. doi:10.1029/2019JB018408.
Zhong, Zhi, Sun, Alexander Y., and Wu, Xinming. Sun . "Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes". United States. doi:10.1029/2019JB018408.
@article{osti_1603689,
title = {Inversion of Time‐Lapse Seismic Reservoir Monitoring Data Using CycleGAN: A Deep Learning‐Based Approach for Estimating Dynamic Reservoir Property Changes},
author = {Zhong, Zhi and Sun, Alexander Y. and Wu, Xinming},
abstractNote = {},
doi = {10.1029/2019JB018408},
journal = {Journal of Geophysical Research. Solid Earth},
number = [3],
volume = [125],
place = {United States},
year = {2020},
month = {3}
}

Journal Article:
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