Time-lapse seismic data inversion for estimating reservoir parameters using deep learning

Publication
Interpretation
Published
1 February 2022
Authors
Harpreet Kaur | Zhi Zhong | Alexander Sun | Sergey Fomel
DOI
https://doi.org/10.1190/int-2020-0205.1
Research funded by
Department of Energy National Energy Technology Laboratory (Grant DE-FE0031544.)
The publisher of this work supports multiple resolution. The work is available from the following locations:

seg.org
geoscienceworld.org
debug {'doi': '10.1190/int-2020-0205.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'Interpretation', 'primary-resource': 'https://library.seg.org/doi/10.1190/INT-2020-0205.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/interpretation/article/10/1/t167/610855/time-lapse-seismic-data-inversion-for-estimating', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 February 2022', 'publication': 'Interpretation', 'supplementary_ids': '10.1190/INT-2020-0205.1', 'title': 'Time-lapse seismic data inversion for estimating reservoir parameters using deep learning', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/int-2020-0205.1', 'grant_info': 'Department of Energy National Energy Technology Laboratory (Grant DE-FE0031544.)', 'editors': None, 'authors': 'Harpreet Kaur | Zhi Zhong | Alexander Sun | Sergey Fomel', 'chairs': None}
https://doi.org/10.1190/int-2020-0205.1
JSON
XML
Total 29 GB
used 11 GB
Free 16 GB