{"id":"https://openalex.org/W4312879830","doi":"https://doi.org/10.1109/igarss46834.2022.9883580","title":"DC-GAN for Fracture Data Generation Based on Segmented Outcrop Images Acquired from UAV","display_name":"DC-GAN for Fracture Data Generation Based on Segmented Outcrop Images Acquired from UAV","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312879830","doi":"https://doi.org/10.1109/igarss46834.2022.9883580"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883580","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069255629","display_name":"Ademir Marques","orcid":"https://orcid.org/0000-0003-4739-7394"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ademir Marques","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084685420","display_name":"Graciela Racolte","orcid":"https://orcid.org/0000-0001-6642-025X"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Graciela Racolte","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081573380","display_name":"Vini cius Ferreira Sales","orcid":null},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vini cius Ferreira Sales","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003819002","display_name":"Caroline L\u00e9ssio Cazarin","orcid":"https://orcid.org/0000-0003-4018-2956"},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Caroline Lessio Cazarin","raw_affiliation_strings":["CENPES - PETROBRAS, Rio de,Janeiro,Brazil","CENPES - PETROBRAS, Rio de, Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CENPES - PETROBRAS, Rio de,Janeiro,Brazil","institution_ids":["https://openalex.org/I32393484"]},{"raw_affiliation_string":"CENPES - PETROBRAS, Rio de, Janeiro, Brazil","institution_ids":["https://openalex.org/I32393484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020661409","display_name":"Luiz Gonzaga","orcid":"https://orcid.org/0000-0002-7661-2447"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Gonzaga","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010362695","display_name":"Mauri cio Roberto Veronez","orcid":null},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauri cio Roberto Veronez","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-São Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44329268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"2754","last_page":"2757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9940000176429749,"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":0.9940000176429749,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9904000163078308,"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/T10894","display_name":"Groundwater flow and contamination studies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fracture","display_name":"Fracture (geology)","score":0.7620254755020142},{"id":"https://openalex.org/keywords/outcrop","display_name":"Outcrop","score":0.7408119440078735},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.6639581918716431},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5651112794876099},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5489568710327148},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.5174099206924438},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.465397447347641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3862465023994446},{"id":"https://openalex.org/keywords/petrology","display_name":"Petrology","score":0.35804808139801025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32988107204437256},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.1537291407585144},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13769009709358215},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.13205400109291077},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09722712635993958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0875752866268158},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07658594846725464}],"concepts":[{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.7620254755020142},{"id":"https://openalex.org/C169212394","wikidata":"https://www.wikidata.org/wiki/Q531953","display_name":"Outcrop","level":2,"score":0.7408119440078735},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.6639581918716431},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5651112794876099},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5489568710327148},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.5174099206924438},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.465397447347641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3862465023994446},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.35804808139801025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32988107204437256},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.1537291407585144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13769009709358215},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.13205400109291077},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09722712635993958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0875752866268158},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07658594846725464},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883580","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2018406138","https://openalex.org/W2131081159","https://openalex.org/W2560526849","https://openalex.org/W2611128884","https://openalex.org/W2885965268","https://openalex.org/W2942561397","https://openalex.org/W2963684088","https://openalex.org/W3038002286","https://openalex.org/W3085425011","https://openalex.org/W3206346907","https://openalex.org/W4213142706","https://openalex.org/W4249484343","https://openalex.org/W4320013936","https://openalex.org/W6685352114"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2321234655","https://openalex.org/W2065444835","https://openalex.org/W4394550905","https://openalex.org/W2470062578","https://openalex.org/W2475592973","https://openalex.org/W2952773340","https://openalex.org/W1986966079"],"abstract_inverted_index":{"Reservoir":[0],"rocks":[1],"have":[2,97],"intrinsic":[3],"properties":[4,21],"of":[5,19,74,81],"porosity":[6,105],"and":[7,16,109],"per-meability":[8],"that":[9],"make":[10],"them":[11],"natural":[12],"hosts":[13],"for":[14,136],"hydrocarbons,":[15],"the":[17,33,37,69,79,82,140],"estimation":[18],"these":[20],"is":[22,44,89],"key":[23],"to":[24,48,85,103,142],"simulating":[25],"reser-voir":[26],"models.":[27],"Additionally,":[28],"fractures":[29],"can":[30],"greatly":[31],"influence":[32],"fluid":[34],"flow":[35],"within":[36],"reservoir.":[38],"However,":[39],"fracture":[40,70,83,115,137],"data":[41,71,84,106,116],"from":[42,107,117,120],"reservoirs":[43],"often":[45],"disregarded":[46],"due":[47],"its":[49,112],"sub-seismic":[50],"scale.":[51],"In":[52],"this":[53],"matter,":[54],"analogue":[55],"outcrops":[56],"play":[57],"an":[58],"important":[59],"role":[60],"in":[61,72,114],"Dis-crete":[62],"Fracture":[63],"Network":[64],"(DFN)":[65],"modeling":[66],"which":[67,88],"represents":[68],"terms":[73],"their":[75],"attribute":[76,134],"distribution":[77,135],"allowing":[78],"scaling":[80],"reservoir":[86],"scale":[87,104],"done":[90],"mostly":[91],"by":[92],"stochastic":[93],"methods.":[94],"Recent":[95],"works":[96],"used":[98],"Gen-erative":[99],"Adversarial":[100],"Networks":[101],"(GANs)":[102],"images,":[108],"we":[110],"propose":[111],"use":[113],"images":[118],"acquired":[119],"Unmanned":[121],"Aerial":[122],"Vehicles":[123],"(UAV)":[124],"em-ploying":[125],"a":[126],"Deep":[127],"Convolutional":[128],"GAN":[129],"(DC-GAN).":[130],"We":[131],"obtained":[132],"similar":[133],"aperture":[138],"showing":[139],"viability":[141],"replicate":[143],"statistical":[144],"behavior.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}