Publication
GEOPHYSICS
Published
1 November 2020
Authors
Jinwei Fang | Hui Zhou | Yunyue Elita Li | Qingchen Zhang | Lingqian Wang | Pengyuan Sun | Jianlei Zhang
Research funded by
Research of Novel Method and Technology of Geophysical Prospecting, CNPC (2019A-3304) | National Key R $\$ D Program of China (2018YFA0702502) | National Natural Science Foundation of China (41630314,U19B6003-04)

The publisher of this work supports multiple resolution. The work is available from the following locations:

seg.org
geoscienceworld.org

debug {'doi': '10.1190/geo2020-0159.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'GEOPHYSICS', 'primary-resource': 'https://library.seg.org/doi/10.1190/geo2020-0159.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/geophysics/article/85/6/a37/591989/data-driven-low-frequency-signal-recovery-using', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 November 2020', 'publication': 'GEOPHYSICS', 'supplementary_ids': '10.1190/geo2020-0159.1', 'title': 'Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/geo2020-0159.1', 'grant_info': 'Research of Novel Method and Technology of Geophysical Prospecting, CNPC (2019A-3304) | National Key R $\\$ D Program of China (2018YFA0702502) | National Natural Science Foundation of China (41630314,U19B6003-04)', 'editors': None, 'authors': 'Jinwei Fang | Hui Zhou | Yunyue Elita Li | Qingchen Zhang | Lingqian Wang | Pengyuan Sun | Jianlei Zhang', 'chairs': None}
https://doi.org/10.1190/geo2020-0159.1
JSON
XML
Total 29 GB
used 11 GB
Free 16 GB