{'doi': '10.1190/geo2020-0521.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'GEOPHYSICS', 'primary-resource': 'https://library.seg.org/doi/10.1190/geo2020-0521.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/geophysics/article/86/4/m151/606279/fluid-and-lithofacies-prediction-based-on', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 July 2021', 'publication': 'GEOPHYSICS', 'supplementary_ids': '10.1190/geo2020-0521.1', 'title': 'Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/geo2020-0521.1', 'grant_info': 'National Natural Science Foundation of China (41874124) | Strategic Priority Research Program of the Chinese Academy of Sciences (XDA14010203)', 'editors': None, 'authors': 'Luanxiao Zhao | Caifeng Zou | Yuanyuan Chen | Wenlong Shen | Yirong Wang | Huaizhen Chen | Jianhua Geng', 'chairs': None}