{"id":"https://openalex.org/W2538160628","doi":"https://doi.org/10.1145/2983323.2983352","title":"Deep Match between Geology Reports and Well Logs Using Spatial Information","display_name":"Deep Match between Geology Reports and Well Logs Using Spatial Information","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2538160628","doi":"https://doi.org/10.1145/2983323.2983352","mag":"2538160628"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983352","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","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/A5102739991","display_name":"Bin Tong","orcid":"https://orcid.org/0000-0001-7822-1661"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bin Tong","raw_affiliation_strings":["Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036107175","display_name":"Martin Klinkigt","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Martin Klinkigt","raw_affiliation_strings":["Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003260671","display_name":"Makoto Iwayama","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Iwayama","raw_affiliation_strings":["Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059359649","display_name":"Yoshiyuki Kobayashi","orcid":"https://orcid.org/0000-0001-7941-6575"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiyuki Kobayashi","raw_affiliation_strings":["Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101679468","display_name":"Anshuman Sahu","orcid":"https://orcid.org/0009-0004-9461-9142"},"institutions":[{"id":"https://openalex.org/I86725329","display_name":"Hitachi Global Storage Technologies (United States)","ror":"https://ror.org/02q0s1x22","country_code":"US","type":"company","lineage":["https://openalex.org/I86725329"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anshuman Sahu","raw_affiliation_strings":["Big Data Laboratory, Hitachi America, Ltd., santa clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Laboratory, Hitachi America, Ltd., santa clara, CA, USA","institution_ids":["https://openalex.org/I86725329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032289514","display_name":"Ravigopal Vennelakanti","orcid":null},"institutions":[{"id":"https://openalex.org/I86725329","display_name":"Hitachi Global Storage Technologies (United States)","ror":"https://ror.org/02q0s1x22","country_code":"US","type":"company","lineage":["https://openalex.org/I86725329"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravigopal Vennelakanti","raw_affiliation_strings":["Big Data Laboratory, Hitachi America, Ltd., santa clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Laboratory, Hitachi America, Ltd., santa clara, CA, USA","institution_ids":["https://openalex.org/I86725329"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1021,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73661972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1833","last_page":"1842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.9937999844551086,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.5912593603134155},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5421245694160461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5277023315429688},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5046147108078003},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5016758441925049},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49782681465148926},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4960196912288666},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4620159864425659},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4499932825565338},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4417235851287842},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4090808629989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40778404474258423},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39801153540611267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912593603134155},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5421245694160461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5277023315429688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5046147108078003},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5016758441925049},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49782681465148926},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4960196912288666},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4620159864425659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4499932825565338},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4417235851287842},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4090808629989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40778404474258423},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39801153540611267},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/2983323.2983352","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W622210601","https://openalex.org/W1606347560","https://openalex.org/W1916445035","https://openalex.org/W1987549167","https://openalex.org/W2066796814","https://openalex.org/W2072366972","https://openalex.org/W2089294058","https://openalex.org/W2100235303","https://openalex.org/W2106277773","https://openalex.org/W2112912048","https://openalex.org/W2122441292","https://openalex.org/W2122901787","https://openalex.org/W2131744502","https://openalex.org/W2131876387","https://openalex.org/W2136189984","https://openalex.org/W2137028279","https://openalex.org/W2137225583","https://openalex.org/W2138621090","https://openalex.org/W2153579005","https://openalex.org/W2170738476","https://openalex.org/W2288156377","https://openalex.org/W2949547296","https://openalex.org/W2950133940","https://openalex.org/W2951359136","https://openalex.org/W6636358008"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2750075801","https://openalex.org/W3164948662","https://openalex.org/W4400413234","https://openalex.org/W3153597579","https://openalex.org/W3034267371","https://openalex.org/W4394398790","https://openalex.org/W4399455186"],"abstract_inverted_index":{"In":[0],"the":[1,30,35,43,75,78,82,127,159,169,173,176],"shale":[2],"oil":[3],"&":[4],"gas":[5],"industry,":[6],"operators":[7],"are":[8,64,71,117],"looking":[9],"toward":[10],"big":[11],"data":[12,122],"and":[13,17,22,45,60,81,89,104,137,161,164],"new":[14],"analytics":[15],"tools":[16],"techniques":[18],"to":[19,73,91,110],"optimize":[20],"operations":[21],"reduce":[23],"cost.":[24],"Formation":[25],"evaluation":[26],"is":[27,154],"one":[28],"of":[29,77,123],"most":[31],"crucial":[32],"steps":[33],"before":[34],"fracturing":[36],"operation.":[37],"To":[38],"assist":[39],"engineers":[40],"in":[41,46,126,157],"understanding":[42],"subsurface":[44],"turn":[47],"make":[48],"optimal":[49],"operations,":[50],"we":[51],"focus":[52],"on":[53,119],"learning":[54],"semantic":[55],"relations":[56],"between":[57],"geology":[58,79,135],"reports":[59,80,136],"well":[61,83,121,138],"logs,":[62],"which":[63],"collected":[65,85],"during":[66],"down-hole":[67],"drilling.":[68],"The":[69],"challenges":[70],"how":[72,90],"represent":[74],"features":[76],"logs":[84,139],"at":[86],"measured":[87,144],"depths":[88],"effectively":[92],"embed":[93],"them":[94],"into":[95],"a":[96,141],"common":[97],"feature":[98],"space.":[99],"We":[100,130,148],"propose":[101],"both":[102,134,158],"linear":[103,160],"nonlinear":[105,162,166],"(artificial":[106],"neural":[107],"network)":[108],"models":[109,163],"achieve":[111],"such":[112],"an":[113],"embedding.":[114],"Extensive":[115],"validations":[116],"conducted":[118],"public":[120],"North":[124],"Dakota":[125],"United":[128],"States.":[129],"empirically":[131],"discover":[132],"that":[133,150],"follow":[140],"neighborhood":[142],"property":[143],"by":[145],"geological":[146],"distance.":[147],"show":[149],"this":[151],"spatial":[152,170],"information":[153,171],"highly":[155],"effective":[156],"our":[165],"model":[167],"with":[168],"performs":[172],"best":[174],"among":[175],"state-of-the-art":[177],"methods.":[178]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}