{"id":"https://openalex.org/W2899699175","doi":"https://doi.org/10.1109/lgrs.2018.2875836","title":"Seismic Fault Detection Using Convolutional Neural Networks Trained on Synthetic Poststacked Amplitude Maps","display_name":"Seismic Fault Detection Using Convolutional Neural Networks Trained on Synthetic Poststacked Amplitude Maps","publication_year":2018,"publication_date":"2018-11-08","ids":{"openalex":"https://openalex.org/W2899699175","doi":"https://doi.org/10.1109/lgrs.2018.2875836","mag":"2899699175"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2875836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2875836","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051829587","display_name":"Axelle Pochet","orcid":"https://orcid.org/0000-0002-6684-8552"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Axelle Pochet","raw_affiliation_strings":["Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6684-8552","affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006843849","display_name":"Pedro Henrique Bandeira Diniz","orcid":"https://orcid.org/0000-0002-4178-6738"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro H. B. Diniz","raw_affiliation_strings":["Department of Informatics, Pontificia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontificia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000881869","display_name":"H\u00e9lio Lopes","orcid":"https://orcid.org/0000-0003-4584-1455"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Helio Lopes","raw_affiliation_strings":["Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-4584-1455","affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056550577","display_name":"Marcelo Gattass","orcid":"https://orcid.org/0000-0002-8561-302X"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Gattass","raw_affiliation_strings":["Department of Informatics, Pontificia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Pontificia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.066,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.94808699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"352","last_page":"356"},"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":0.9988999962806702,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9987999796867371,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8223140239715576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7658759355545044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5836465358734131},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5148112177848816},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5126997232437134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505889356136322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4695347547531128},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45465847849845886},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4514535665512085},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.44173508882522583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43323105573654175},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42954155802726746},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42330437898635864},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4138127863407135},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.3683890700340271},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3242473006248474},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2453974485397339},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10240405797958374}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8223140239715576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658759355545044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5836465358734131},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5148112177848816},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5126997232437134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505889356136322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4695347547531128},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45465847849845886},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4514535665512085},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.44173508882522583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43323105573654175},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42954155802726746},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42330437898635864},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4138127863407135},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.3683890700340271},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3242473006248474},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2453974485397339},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10240405797958374},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2875836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2875836","pdf_url":null,"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":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1851044508","https://openalex.org/W1963613499","https://openalex.org/W2014302947","https://openalex.org/W2014758788","https://openalex.org/W2029081900","https://openalex.org/W2039488747","https://openalex.org/W2051322913","https://openalex.org/W2060645266","https://openalex.org/W2064599668","https://openalex.org/W2082171961","https://openalex.org/W2104241941","https://openalex.org/W2106921281","https://openalex.org/W2112796928","https://openalex.org/W2116369243","https://openalex.org/W2129086878","https://openalex.org/W2152597251","https://openalex.org/W2156387975","https://openalex.org/W2156626949","https://openalex.org/W2163605009","https://openalex.org/W2328164343","https://openalex.org/W2556080755","https://openalex.org/W2592421213","https://openalex.org/W2592517375","https://openalex.org/W2619324788","https://openalex.org/W2622826443","https://openalex.org/W2746757980","https://openalex.org/W2755118520","https://openalex.org/W2887057695","https://openalex.org/W2962835968","https://openalex.org/W4245249958","https://openalex.org/W6637373629","https://openalex.org/W6682567701","https://openalex.org/W6682889407","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2218202131","https://openalex.org/W2947043951","https://openalex.org/W2969228573","https://openalex.org/W3185156046","https://openalex.org/W2922305141"],"abstract_inverted_index":{"Fault":[0],"detection":[1,63],"is":[2,39,72,111],"a":[3,23,40,58,77,83,98,127,137,162],"crucial":[4],"step":[5],"in":[6,14,45,47,57,89,171],"reservoir":[7],"characterization.":[8],"Despite":[9],"the":[10,15,27,48,67,73,90,112,116,133,142,172],"many":[11],"tools":[12],"developed":[13],"past":[16],"decades,":[17],"automation":[18],"of":[19,29,61,66,69,80,108,129,161,165],"this":[20,70,94],"task":[21],"remains":[22],"challenge.":[24],"We":[25,125],"investigate":[26],"application":[28],"convolutional":[30],"neural":[31],"networks":[32],"(CNNs)":[33],"to":[34,53,75,87,140],"seismic":[35,91,113,123],"fault":[36,104,144],"detection.":[37],"CNN":[38],"deep":[41],"learning":[42],"method":[43,71,117],"growing":[44],"interest":[46],"computer":[49],"vision":[50],"community,":[51],"due":[52],"its":[54],"high":[55],"performances":[56],"great":[59],"variety":[60],"object":[62],"tasks.":[64],"One":[65],"constraints":[68],"need":[74],"provide":[76],"massive":[78],"number":[79],"interpreted":[81],"data,":[82],"requirement":[84],"particularly":[85],"difficult":[86],"attend":[88],"area.":[92],"To":[93],"end,":[95],"we":[96],"built":[97],"synthetic":[99,152],"data":[100,153],"set":[101],"with":[102],"simple":[103,138],"geometries.":[105],"The":[106,166],"input":[107],"our":[109],"network":[110,147],"amplitude":[114],"only;":[115],"does":[118],"not":[119],"require":[120],"computing":[121],"any":[122],"attribute.":[124],"apply":[126],"strategy":[128],"patch":[130],"classification":[131],"along":[132],"images,":[134],"which":[135],"requires":[136],"postprocess":[139],"extract":[141],"exact":[143],"location.":[145],"Our":[146],"shows":[148],"good":[149],"results":[150,156],"on":[151,159],"and":[154],"encouraging":[155],"when":[157],"tested":[158],"regions":[160],"real":[163],"section":[164],"Netherland":[167],"offshore":[168],"F3":[169],"block":[170],"North":[173],"Sea.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}