{"id":"https://openalex.org/W4312627260","doi":"https://doi.org/10.1109/lgrs.2022.3218911","title":"Deep Learning Using Synthetic Seismic Data by Fourier Domain Adaptation in Seismic Structure Interpretation","display_name":"Deep Learning Using Synthetic Seismic Data by Fourier Domain Adaptation in Seismic Structure Interpretation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312627260","doi":"https://doi.org/10.1109/lgrs.2022.3218911"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3218911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3218911","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/4357975/09934908.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/8859/4357975/09934908.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067108920","display_name":"Dekuan Chang","orcid":"https://orcid.org/0000-0002-8798-4369"},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dekuan Chang","raw_affiliation_strings":["School of Geosciences, China University of Petroleum (East China), Qingdao, China","Research Institute of Petroleum Exploration & Development, NWIG, PETROCHINA, Lanzhou, CHINA"],"raw_orcid":"https://orcid.org/0000-0002-8798-4369","affiliations":[{"raw_affiliation_string":"School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"Research Institute of Petroleum Exploration & Development, NWIG, PETROCHINA, Lanzhou, CHINA","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101431997","display_name":"Guangzhi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhi Zhang","raw_affiliation_strings":["School of Geosciences, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geosciences, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109300732","display_name":"Xueshan Yong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueshan Yong","raw_affiliation_strings":["Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062494751","display_name":"Jianhu Gao","orcid":"https://orcid.org/0000-0001-9312-4966"},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhu Gao","raw_affiliation_strings":["Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9312-4966","affiliations":[{"raw_affiliation_string":"Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324196","display_name":"Yihui Wang","orcid":"https://orcid.org/0000-0001-7481-1859"},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihui Wang","raw_affiliation_strings":["Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112750653","display_name":"Wei Wang","orcid":"https://orcid.org/0009-0004-6868-205X"},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Petroleum Exploration and Development, NorthWest, Petrochina, Lanzhou, China","institution_ids":["https://openalex.org/I4210112595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7341,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8247012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9975000023841858,"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/synthetic-data","display_name":"Synthetic data","score":0.6616056561470032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577370166778564},{"id":"https://openalex.org/keywords/seismic-to-simulation","display_name":"Seismic to simulation","score":0.5695444941520691},{"id":"https://openalex.org/keywords/synthetic-seismogram","display_name":"Synthetic seismogram","score":0.569084107875824},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5254800915718079},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4829792082309723},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.45844531059265137},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4162288308143616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40723326802253723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3722756505012512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3488641381263733},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.33831918239593506},{"id":"https://openalex.org/keywords/seismic-inversion","display_name":"Seismic inversion","score":0.28635260462760925},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26954489946365356},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07114207744598389}],"concepts":[{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6616056561470032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577370166778564},{"id":"https://openalex.org/C64370902","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Seismic to simulation","level":4,"score":0.5695444941520691},{"id":"https://openalex.org/C137219930","wikidata":"https://www.wikidata.org/wiki/Q7662785","display_name":"Synthetic seismogram","level":2,"score":0.569084107875824},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5254800915718079},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4829792082309723},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45844531059265137},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4162288308143616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40723326802253723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3722756505012512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3488641381263733},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.33831918239593506},{"id":"https://openalex.org/C39267094","wikidata":"https://www.wikidata.org/wiki/Q7446968","display_name":"Seismic inversion","level":3,"score":0.28635260462760925},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26954489946365356},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07114207744598389},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3218911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3218911","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/4357975/09934908.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lgrs.2022.3218911","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3218911","pdf_url":"https://ieeexplore.ieee.org/ielx7/8859/4357975/09934908.pdf","source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4820715948","display_name":null,"funder_award_id":"2021DJ3505","funder_id":"https://openalex.org/F4320322469","funder_display_name":"PetroChina Company Limited"},{"id":"https://openalex.org/G5739638155","display_name":null,"funder_award_id":"42074136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6656873917","display_name":null,"funder_award_id":"U19B2008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8984347497","display_name":"\u4e1c\u6d77\u6df1\u5c42\u4f4e\u6e17-\u81f4\u5bc6\u6c14\u50a8\u5c42\u4f53\u7cfb\u8d28\u91cf\u5dee\u5f02\u6027\u6210\u56e0\u673a\u5236\u53ca\u6f14\u5316\u6a21\u5f0f","funder_award_id":"U19B2006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322469","display_name":"PetroChina Company Limited","ror":"https://ror.org/05269d038"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312627260.pdf","grobid_xml":"https://content.openalex.org/works/W4312627260.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1631114303","https://openalex.org/W1982696459","https://openalex.org/W2008635359","https://openalex.org/W2115403315","https://openalex.org/W2786808285","https://openalex.org/W2923222994","https://openalex.org/W2982350982","https://openalex.org/W3035294798","https://openalex.org/W3180982107","https://openalex.org/W3203094079"],"related_works":["https://openalex.org/W2348383197","https://openalex.org/W2394272955","https://openalex.org/W2488870263","https://openalex.org/W1605232131","https://openalex.org/W2350503276","https://openalex.org/W2261502114","https://openalex.org/W1986822011","https://openalex.org/W2354243149","https://openalex.org/W2411534283","https://openalex.org/W1993696404"],"abstract_inverted_index":{"Deep":[0],"learning":[1,189],"is":[2,19,40,115,132,183],"a":[3,184],"data-driven":[4],"technique":[5],"that":[6,152],"demands":[7],"network":[8,82,138,172],"models":[9,83,139,173],"trained":[10,84,174],"using":[11,85],"big":[12],"datasets.":[13,58],"In":[14,93],"seismic":[15,35,46,69,73,91,113,121,130,146,161,165,178,194],"structure":[16,195],"interpretation,":[17],"it":[18],"very":[20],"difficult,":[21],"time-consuming,":[22],"and":[23,51,71],"relatively":[24],"economic":[25],"costs":[26],"to":[27,44,98,104,123,140,163],"prepare":[28],"training":[29,57,87,136,192],"datasets":[30,88],"by":[31],"directly":[32],"annotating":[33],"real":[34,72,90,120,145,164],"data.":[36,74,92,147,179],"Seismic":[37],"convolution":[38],"method":[39,186],"an":[41],"efficient":[42],"way":[43],"synthesize":[45],"data,":[47,166],"which":[48,167],"can":[49],"easily":[50],"quickly":[52],"generate":[53],"large":[54,62],"amount":[55],"of":[56,81,111,119,137,159,171],"However,":[59],"there":[60],"are":[61],"differences":[63],"in":[64,77,193],"feature":[65,125],"space":[66,126],"between":[67],"synthetic":[68,86,112,129,160,177],"data":[70,114,122,131,162],"That":[75],"results":[76,150],"the":[78,153,156,169,181],"poor":[79],"performance":[80,143],"on":[89,144,176],"this":[94],"paper,":[95],"we":[96],"propose":[97],"use":[99],"Fourier":[100],"domain":[101,106,157],"adaptation":[102],"(FDA)":[103],"achieve":[105],"transfer.":[107],"First,":[108],"amplitude":[109],"spectrum":[110],"replaced":[116],"with":[117],"those":[118],"make":[124],"mapping.":[127],"Then":[128],"used":[133],"for":[134,187],"transfer":[135,158,191],"improve":[141],"its":[142],"The":[148],"experimental":[149],"demonstrate":[151],"FDA":[154,182],"performs":[155],"improves":[168],"generalization":[170],"based":[175],"Meanwhile,":[180],"promising":[185],"deep":[188],"model":[190],"interpretation.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
