{"id":"https://openalex.org/W7138395295","doi":"https://doi.org/10.48550/arxiv.2603.14879","title":"Seismic full-waveform inversion based on a physics-driven generative adversarial network","display_name":"Seismic full-waveform inversion based on a physics-driven generative adversarial network","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138395295","doi":"https://doi.org/10.48550/arxiv.2603.14879"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129674016","display_name":"Xinyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Xinyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129722273","display_name":"Caiyun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Caiyun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631084","display_name":"Jie Xiong","orcid":"https://orcid.org/0000-0003-0128-0633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129708056","display_name":"Qingfeng Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Qingfeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5129674016"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9635000228881836,"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":0.9635000228881836,"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":0.02410000003874302,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.0017999999690800905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.7706999778747559},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6765999794006348},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6531999707221985},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5623000264167786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46709999442100525},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4147999882698059},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.3939000070095062},{"id":"https://openalex.org/keywords/seismic-inversion","display_name":"Seismic inversion","score":0.36329999566078186}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7706999778747559},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6765999794006348},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5623000264167786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4846999943256378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48010000586509705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4034000039100647},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C39267094","wikidata":"https://www.wikidata.org/wiki/Q7446968","display_name":"Seismic inversion","level":3,"score":0.36329999566078186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C79675319","wikidata":"https://www.wikidata.org/wiki/Q5535575","display_name":"Geophysical imaging","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2988494973","wikidata":"https://www.wikidata.org/wiki/Q179448","display_name":"Noise immunity","level":3,"score":0.3125},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C78542244","wikidata":"https://www.wikidata.org/wiki/Q186167","display_name":"Seismic wave","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C143606050","wikidata":"https://www.wikidata.org/wiki/Q1377019","display_name":"Inverse transform sampling","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2727999985218048},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14879","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7292439341545105,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Objectives:":[0],"Full-waveform":[1],"inversion":[2,70,108,158],"(FWI)":[3],"is":[4],"a":[5,64,98,148],"high-resolution":[6],"geophysical":[7],"imaging":[8],"technique":[9],"that":[10,120],"reconstructs":[11],"subsurface":[12],"velocity":[13,128],"models":[14,118],"by":[15,54,88],"iteratively":[16],"minimizing":[17],"the":[18,38,48,76,84,89,102,107,121,153],"misfit":[19],"between":[20],"predicted":[21],"and":[22,41,93,104,130,140,159],"observed":[23],"seismic":[24,90],"data.":[25],"However,":[26],"under":[27],"complex":[28,127],"geological":[29,117],"conditions,":[30],"conventional":[31],"FWI":[32],"suffers":[33],"from":[34],"strong":[35,161],"dependence":[36,155],"on":[37,113],"initial":[39],"model":[40],"tends":[42],"to":[43,100],"produce":[44],"unstable":[45],"results":[46,112],"when":[47],"data":[49],"are":[50],"sparse":[51],"or":[52],"contaminated":[53],"noise.":[55],"Methods:":[56],"To":[57],"address":[58],"these":[59],"limitations,":[60],"this":[61],"paper":[62],"proposes":[63],"physics-driven":[65],"generative":[66],"adversarial":[67,95],"network-based":[68],"full-waveform":[69,157],"method.":[71],"The":[72],"proposed":[73,122],"approach":[74],"integrates":[75],"data-driven":[77],"capability":[78],"of":[79,106,136],"deep":[80],"neural":[81],"networks":[82],"with":[83],"physical":[85],"constraints":[86],"imposed":[87],"wave":[91],"equation,":[92],"employs":[94],"training":[96],"through":[97],"discriminator":[99],"enhance":[101],"stability":[103],"robustness":[105],"results.":[109],"Results:":[110],"Experimental":[111],"two":[114],"representative":[115],"benchmark":[116],"demonstrate":[119],"method":[123,146],"can":[124],"effectively":[125],"recover":[126],"structures":[129],"achieves":[131],"superior":[132],"performance":[133],"in":[134,156],"terms":[135],"structural":[137],"similarity":[138],"(SSIM)":[139],"signal-to-noise":[141],"ratio":[142],"(SNR).":[143],"Conclusions:":[144],"This":[145],"provides":[147],"promising":[149],"solution":[150],"for":[151,163],"alleviating":[152],"initial-model":[154],"shows":[160],"potential":[162],"practical":[164],"applications.":[165]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
