{"id":"https://openalex.org/W4411446520","doi":"https://doi.org/10.1109/tgrs.2025.3581462","title":"Seismic Horizon Picking Using Deep Learning With Multiple Attributes","display_name":"Seismic Horizon Picking Using Deep Learning With Multiple Attributes","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411446520","doi":"https://doi.org/10.1109/tgrs.2025.3581462"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3581462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3581462","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/A5008135736","display_name":"Sanyi Yuan","orcid":"https://orcid.org/0000-0001-5253-6585"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanyi Yuan","raw_affiliation_strings":["State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","College of Geophysics, China University of Petroleum Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5253-6585","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geophysics, China University of Petroleum Beijing, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397991","display_name":"Yue Yu","orcid":"https://orcid.org/0000-0002-9865-2212"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yu","raw_affiliation_strings":["State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","College of Geophysics, China University of Petroleum Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geophysics, China University of Petroleum Beijing, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069719896","display_name":"Wenjing Sang","orcid":"https://orcid.org/0000-0002-3304-4881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjing Sang","raw_affiliation_strings":["PetroChina Planning and Engineering Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3304-4881","affiliations":[{"raw_affiliation_string":"PetroChina Planning and Engineering Institute, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113586077","display_name":"Renjun Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renjun Xie","raw_affiliation_strings":["CNOOC Research Institute Ltd., Beijing, China","CNOOC Research Institute Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CNOOC Research Institute Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Changsuo Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changsuo Zhou","raw_affiliation_strings":["CNOOC Research Institute Ltd., Beijing, China","CNOOC Research Institute Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNOOC Research Institute Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CNOOC Research Institute Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100396708","display_name":"Shuai Chen","orcid":"https://orcid.org/0000-0003-3122-2354"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Chen","raw_affiliation_strings":["State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","College of Geophysics, China University of Petroleum Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geophysics, China University of Petroleum Beijing, Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90846021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9843999743461609,"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":0.9132999777793884,"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/horizon","display_name":"Horizon","score":0.6289457082748413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877959132194519},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49761226773262024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4781549870967865},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.46304064989089966},{"id":"https://openalex.org/keywords/over-the-horizon-radar","display_name":"Over-the-horizon radar","score":0.418423056602478},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41113558411598206},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1695442497730255},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12915083765983582}],"concepts":[{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.6289457082748413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877959132194519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49761226773262024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4781549870967865},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.46304064989089966},{"id":"https://openalex.org/C183617614","wikidata":"https://www.wikidata.org/wiki/Q332548","display_name":"Over-the-horizon radar","level":3,"score":0.418423056602478},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41113558411598206},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1695442497730255},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12915083765983582},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/tgrs.2025.3581462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3581462","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2287186100","display_name":null,"funder_award_id":"42174152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7509813673","display_name":null,"funder_award_id":"U24B2031","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970193144","https://openalex.org/W1973093491","https://openalex.org/W2000089847","https://openalex.org/W2036954297","https://openalex.org/W2058351138","https://openalex.org/W2067359943","https://openalex.org/W2075948741","https://openalex.org/W2112103608","https://openalex.org/W2122661995","https://openalex.org/W2124707365","https://openalex.org/W2129793631","https://openalex.org/W2153259962","https://openalex.org/W2299218616","https://openalex.org/W2325904566","https://openalex.org/W2328352853","https://openalex.org/W2329774015","https://openalex.org/W2775766718","https://openalex.org/W2884436604","https://openalex.org/W2890209207","https://openalex.org/W2916304629","https://openalex.org/W2950390145","https://openalex.org/W2963351448","https://openalex.org/W2964255494","https://openalex.org/W2969722825","https://openalex.org/W2970849298","https://openalex.org/W2974522941","https://openalex.org/W2989581247","https://openalex.org/W2990506785","https://openalex.org/W3004936775","https://openalex.org/W3011644199","https://openalex.org/W3012137738","https://openalex.org/W3017260587","https://openalex.org/W3045136359","https://openalex.org/W3046858445","https://openalex.org/W3111968656","https://openalex.org/W3196959358","https://openalex.org/W3206067580","https://openalex.org/W3208394772","https://openalex.org/W4214909396","https://openalex.org/W4226459266","https://openalex.org/W4285104297","https://openalex.org/W4293298413","https://openalex.org/W4309924930","https://openalex.org/W4312232659","https://openalex.org/W4365129605","https://openalex.org/W4376866439","https://openalex.org/W4386241849","https://openalex.org/W4404415558","https://openalex.org/W4408362577","https://openalex.org/W4411675757","https://openalex.org/W6631190155","https://openalex.org/W6636482670","https://openalex.org/W6686065176"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Seismic":[0],"horizon":[1,43,64,69,102,111,117,129,209],"interpretation":[2,133],"is":[3,71,138,170],"a":[4,51,67,121,194,213],"fundamental":[5],"task":[6],"in":[7,32,42,222],"subsurface":[8],"exploration,":[9],"essential":[10],"for":[11,62,216],"understanding":[12],"formation":[13],"geometry,":[14],"characterizing":[15],"reservoir":[16],"properties,":[17],"and":[18,24,78,85,103,128,205,219],"supporting":[19,217],"drilling":[20,175,221],"operations.":[21],"Traditional":[22],"methods":[23],"deep":[25,56,181],"learning":[26,57],"(DL)-based":[27],"approaches":[28],"often":[29],"face":[30],"challenges":[31],"complex":[33,223],"geological":[34,80,224],"settings,":[35],"leading":[36],"to":[37,109,166,172],"potential":[38],"instability":[39],"or":[40],"failure":[41],"picking.":[44],"To":[45],"overcome":[46],"these":[47],"challenges,":[48],"we":[49,94],"propose":[50],"novel":[52],"method":[53,137,169],"that":[54,99],"integrates":[55],"with":[58,159],"multiple":[59,157],"seismic":[60,97,142,208],"attributes":[61,98,127],"robust":[63],"interpretation.":[65],"Initially,":[66],"sparse":[68],"grid":[70],"constructed,":[72],"guided":[73],"by":[74],"well":[75],"log":[76],"data":[77,143],"incorporating":[79],"knowledge,":[81],"such":[82],"as":[83],"structural":[84,91],"sedimentary":[86],"system":[87],"information.":[88],"Using":[89],"the":[90,125,145,168,180,190,203],"similarity":[92],"criterion,":[93],"select":[95],"key":[96],"effectively":[100],"distinguish":[101],"non-horizon":[104],"features,":[105],"enabling":[106],"neural":[107],"networks":[108],"learn":[110],"patterns":[112],"more":[113],"accurately.":[114],"The":[115,135,177],"developed":[116],"picking":[118],"network":[119],"establishes":[120],"nonlinear":[122],"mapping":[123],"between":[124],"selected":[126],"classification":[130],"results,":[131],"improving":[132],"accuracy.":[134],"proposed":[136],"demonstrated":[139],"on":[140],"3D":[141],"from":[144],"Bohai":[146],"Bay":[147],"Basin,":[148],"where":[149],"it":[150,212],"successfully":[151],"provides":[152],"high-density":[153],"lateral":[154],"interpretations":[155],"of":[156,162,179,189,197,207],"horizons":[158],"varying":[160],"levels":[161],"complexity.":[163],"In":[164],"addition":[165],"this,":[167],"applied":[171],"an":[173],"ongoing":[174],"well.":[176],"prediction":[178],"Archaean":[182],"buried":[183],"hill":[184],"interface,":[185],"165":[186],"m":[187],"ahead":[188],"drill":[191],"bit,":[192],"showed":[193],"depth":[195],"error":[196],"2.64\u2030.":[198],"This":[199],"approach":[200],"enhances":[201],"both":[202],"accuracy":[204],"reliability":[206],"interpretation,":[210],"making":[211],"valuable":[214],"tool":[215],"safe":[218],"efficient":[220],"formations.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
