{"id":"https://openalex.org/W4285221120","doi":"https://doi.org/10.1109/tgrs.2022.3175184","title":"Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion","display_name":"Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285221120","doi":"https://doi.org/10.1109/tgrs.2022.3175184"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3175184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3175184","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062900707","display_name":"Zhaoqi Gao","orcid":"https://orcid.org/0000-0002-2728-1637"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqi Gao","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2728-1637","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030240595","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0001-6267-4981"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090475313","display_name":"Chuang Li","orcid":"https://orcid.org/0000-0003-1132-0491"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Li","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1132-0491","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102722652","display_name":"Feipeng Li","orcid":"https://orcid.org/0000-0002-4172-0608"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feipeng Li","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4172-0608","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051710542","display_name":"Qingzhen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingzhen Wang","raw_affiliation_strings":["CNOOC Research Institute Ltd., Beijing, China","CNOOC Research Institute Ltd., Beijing, 100028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, 100028, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104079772","display_name":"Jicai Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jicai Ding","raw_affiliation_strings":["CNOOC Research Institute Ltd., Beijing, China","CNOOC Research Institute Ltd., Beijing, 100028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, 100028, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077552109","display_name":"Jinghuai Gao","orcid":"https://orcid.org/0000-0002-0448-8555"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghuai Gao","raw_affiliation_strings":["School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0448-8555","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering and the National Engineering Laboratory for Offshore Oil Exploration, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280540","display_name":"Zongben Xu","orcid":"https://orcid.org/0000-0002-4066-2338"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6012,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8923226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7127469182014465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6077370643615723},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5977509617805481},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5696876049041748},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49539196491241455},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4759126305580139},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.4439803659915924},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4205129146575928},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3370281457901001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28865566849708557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20252743363380432},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1947173774242401},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12120646238327026},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11655202507972717},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.10511523485183716}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7127469182014465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6077370643615723},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5977509617805481},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5696876049041748},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49539196491241455},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4759126305580139},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.4439803659915924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4205129146575928},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3370281457901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28865566849708557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20252743363380432},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1947173774242401},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12120646238327026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11655202507972717},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.10511523485183716},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3175184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3175184","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2286357082","display_name":null,"funder_award_id":"2020YFA0713403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8847251844","display_name":null,"funder_award_id":"XTR042021001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1975900931","https://openalex.org/W2009552164","https://openalex.org/W2041536875","https://openalex.org/W2043425795","https://openalex.org/W2045642993","https://openalex.org/W2100245965","https://openalex.org/W2100371770","https://openalex.org/W2112280495","https://openalex.org/W2120704348","https://openalex.org/W2124793784","https://openalex.org/W2125916088","https://openalex.org/W2139381422","https://openalex.org/W2150240527","https://openalex.org/W2158285489","https://openalex.org/W2415762094","https://openalex.org/W2460223239","https://openalex.org/W2562746610","https://openalex.org/W2899247933","https://openalex.org/W2909650813","https://openalex.org/W2911821366","https://openalex.org/W2955412401","https://openalex.org/W3011245630","https://openalex.org/W3013198551","https://openalex.org/W3014029212","https://openalex.org/W3032032710","https://openalex.org/W3082246377","https://openalex.org/W3091624781","https://openalex.org/W3104055803","https://openalex.org/W3136716057","https://openalex.org/W3183846096","https://openalex.org/W4210691789","https://openalex.org/W4246091229"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2538520412","https://openalex.org/W2424423710"],"abstract_inverted_index":{"Seismic":[0],"full":[1,15],"waveform":[2],"inversion":[3],"(FWI)":[4],"is":[5,78,106,133,147,180],"able":[6],"to":[7,29,42,80,96,99],"build":[8],"high-resolution":[9],"velocity":[10],"model":[11,28,46,205],"based":[12,63],"on":[13,64,116,125],"the":[14,44,57,65,82,91,114,121,126,143,150,158,161,166,176,188],"information":[16],"carried":[17],"by":[18,135],"seismic":[19],"wave.":[20],"However,":[21],"FWI":[22,40,131,169,191],"requires":[23],"an":[24,203],"accurate":[25],"enough":[26],"initial":[27,45,204],"ensure":[30],"convergence.":[31],"In":[32,141],"this":[33,94],"paper,":[34],"we":[35,50,156],"propose":[36,52],"a":[37,53,72,85,100,109,129,137],"new":[38,138,167,189],"nonlinear":[39,54,127,130,163,168,178,190],"method":[41,132,192,197],"mitigate":[43],"dependence":[47],"problem.":[48],"Specifically,":[49],"firstly":[51],"operator":[55,69,164,179],"within":[56],"hybrid":[58],"model-":[59],"and":[60,71,88,119,165,187,201],"data-driven":[61],"framework":[62],"frequency":[66,102],"controllable":[67],"envelope":[68,83,95,185],"(FCEO)":[70],"deep":[73],"learning":[74],"architecture":[75],"U-Net.":[76],"FCEO":[77],"used":[79],"obtain":[81],"of":[84,145,160],"band-limited":[86],"data":[87,118],"U-Net":[89,105],"realizes":[90],"mapping":[92],"from":[93],"that":[97,112,175],"corresponding":[98],"lower":[101],"band.":[103],"The":[104,171],"trained":[107],"in":[108,182,198],"self-supervised":[110],"manner":[111],"avoids":[113],"reliance":[115],"labeled":[117],"benefits":[120],"generalization":[122],"ability.":[123],"Based":[124],"operator,":[128],"proposed":[134,162,177],"defining":[136],"misfit":[139],"function.":[140],"addition,":[142],"calculation":[144],"gradient":[146],"derived":[148],"using":[149],"adjoint-state":[151],"method.":[152,170],"Using":[153],"numerical":[154],"examples,":[155],"investigate":[157],"performance":[159],"results":[172],"clearly":[173],"demonstrate":[174],"effective":[181],"obtaining":[183],"low-frequency":[184],"data,":[186],"has":[193],"advantages":[194],"over":[195],"common":[196],"mitigating":[199],"cycle-skipping":[200],"building":[202],"for":[206],"conventional":[207],"FWI.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}