{"id":"https://openalex.org/W2106009344","doi":"https://doi.org/10.1109/emeit.2011.6022885","title":"Application research of data mining on reservoir characterization","display_name":"Application research of data mining on reservoir characterization","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2106009344","doi":"https://doi.org/10.1109/emeit.2011.6022885","mag":"2106009344"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6022885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-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/A5103665564","display_name":"Wang Lichang","orcid":null},"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":true,"raw_author_name":"Wang Lichang","raw_affiliation_strings":["College of Geophysics and Information Engineering China, University of Petroleum(Beijing), Beijing, China","College of Geophysics and Information Engineering, China University of Petroleum Beijing), Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics and Information Engineering China, University of Petroleum(Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geophysics and Information Engineering, China University of Petroleum Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tao Guo","orcid":null},"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":"Tao Guo","raw_affiliation_strings":["College of Geophysics and Information Engineering China, University of Petroleum(Beijing), Beijing, China","College of Geophysics and Information Engineering, China University of Petroleum Beijing), Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics and Information Engineering China, University of Petroleum(Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geophysics and Information Engineering, China University of Petroleum Beijing), Beijing, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wang Zhizhang","orcid":null},"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":"Wang Zhizhang","raw_affiliation_strings":["College of Geosciences, China University of Petroleum, Beijing","College of Geosciences China University of Petroleum\u2010Beijing Beijing China"],"affiliations":[{"raw_affiliation_string":"College of Geosciences, China University of Petroleum, Beijing","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Geosciences China University of Petroleum\u2010Beijing Beijing China","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103665564"],"corresponding_institution_ids":["https://openalex.org/I204553293"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12487918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"153","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9628999829292297,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9628999829292297,"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9513000249862671,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7412639856338501},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6587234735488892},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6073102355003357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.597609281539917},{"id":"https://openalex.org/keywords/reservoir-modeling","display_name":"Reservoir modeling","score":0.5745996832847595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615919232368469},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.48724761605262756},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48297515511512756},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46275708079338074},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4103226661682129},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.4025150537490845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33588099479675293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3074912428855896},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23826569318771362}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7412639856338501},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6587234735488892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6073102355003357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.597609281539917},{"id":"https://openalex.org/C14641988","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Reservoir modeling","level":2,"score":0.5745996832847595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615919232368469},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.48724761605262756},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48297515511512756},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46275708079338074},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4103226661682129},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.4025150537490845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33588099479675293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3074912428855896},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23826569318771362},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6022885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W259338706","https://openalex.org/W1554663460","https://openalex.org/W1817561967","https://openalex.org/W1974412830","https://openalex.org/W1983811313","https://openalex.org/W1996052698","https://openalex.org/W2027122172","https://openalex.org/W2054114339","https://openalex.org/W2063991693","https://openalex.org/W2119821739","https://openalex.org/W2130072301","https://openalex.org/W2140190241","https://openalex.org/W2156909104","https://openalex.org/W4239510810","https://openalex.org/W4388297464","https://openalex.org/W6680704940"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4224922629"],"abstract_inverted_index":{"Most":[0],"Chinese":[1],"oil-gas":[2,15,51],"fields":[3],"are":[4,17],"almost":[5],"approaching":[6],"production":[7],"tail,":[8],"and":[9,41,83,97],"an":[10],"increasing":[11],"number":[12],"of":[13,22,57,66,74,81,85],"non-traditional":[14],"reservoirs":[16],"encountered":[18],"during":[19],"the":[20,54,79],"process":[21],"exploratory":[23],"development,":[24],"which":[25,45,114],"leads":[26],"to":[27,61,110,117],"a":[28,129],"urgent":[29],"requirement":[30],"for":[31,72],"advanced":[32],"methods":[33,36],"in":[34,133],"conventional":[35],"such":[37],"as":[38,69],"cross":[39],"plot":[40],"multiple":[42],"linear":[43],"regression,":[44],"can":[46],"not":[47],"precisely":[48],"describe":[49],"complex":[50],"reservoirs.":[52],"Thus,":[53],"main":[55],"purpose":[56],"this":[58],"paper":[59],"is":[60,103,115,128],"come":[62],"up":[63],"with":[64,121],"method":[65,132],"Decision":[67,89],"Tree":[68],"final":[70],"model":[71],"identification":[73],"reservoir":[75,112],"fluid":[76],"based":[77],"on":[78],"comparison":[80],"advantage":[82],"disadvantage":[84],"four":[86],"methods,":[87],"including":[88],"Tree,":[90],"Support":[91,107],"Vector":[92,108],"Machines,":[93],"Artificial":[94],"Neural":[95],"Network":[96],"Bayesian":[98],"Network.":[99],"Moreover,":[100],"nonlinear":[101],"regression":[102],"performed":[104],"by":[105],"using":[106],"Machines":[109],"calculate":[111],"parameter,":[113],"testified":[116],"be":[118],"good":[119],"compared":[120],"observed":[122],"data.":[123],"In":[124],"sum,":[125],"data":[126],"mining":[127],"prospective":[130],"applied":[131],"oil":[134],"geology.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
