{"id":"https://openalex.org/W3113238517","doi":"https://doi.org/10.1109/tgrs.2020.3041366","title":"Regression Committee Machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs","display_name":"Regression Committee Machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs","publication_year":2020,"publication_date":"2020-12-15","ids":{"openalex":"https://openalex.org/W3113238517","doi":"https://doi.org/10.1109/tgrs.2020.3041366","mag":"3113238517"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3041366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3041366","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/A5100599279","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0001-7956-8026"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China","School of Geophysics & Information Technology, China University of Geosciences (Beijing), Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-7956-8026","affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"School of Geophysics & Information Technology, China University of Geosciences (Beijing), Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079804173","display_name":"Maojin Tan","orcid":"https://orcid.org/0000-0003-3221-0697"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maojin Tan","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China","[School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing 100083, China (e-mail: tanmj@cugb.edu.cn)]"],"raw_orcid":"https://orcid.org/0000-0003-3221-0697","affiliations":[{"raw_affiliation_string":"School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"[School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing 100083, China (e-mail: tanmj@cugb.edu.cn)]","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112184514","display_name":"Yujiang Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yujiang Shi","raw_affiliation_strings":["Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454595","display_name":"Hai\u2010Tao Zhang","orcid":"https://orcid.org/0009-0001-3305-5767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haitao Zhang","raw_affiliation_strings":["Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090484465","display_name":"Gao\u2010Ren Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaoren Li","raw_affiliation_strings":["Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum Exploration and Production Institute, PetroChina Changqing Company, Xi\u2019an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1516,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.45434557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9990000128746033,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9957000017166138,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9926999807357788,"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/petrophysics","display_name":"Petrophysics","score":0.9170774221420288},{"id":"https://openalex.org/keywords/wireline","display_name":"Wireline","score":0.8098514080047607},{"id":"https://openalex.org/keywords/water-saturation","display_name":"Water saturation","score":0.6310466527938843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6048566699028015},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4747883677482605},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4681777060031891},{"id":"https://openalex.org/keywords/well-logging","display_name":"Well logging","score":0.4551718831062317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44683837890625},{"id":"https://openalex.org/keywords/permeability","display_name":"Permeability (electromagnetism)","score":0.43201470375061035},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.42915552854537964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42889320850372314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.327020525932312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3199317455291748},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.29456403851509094},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.2666637897491455},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.18159928917884827}],"concepts":[{"id":"https://openalex.org/C46293882","wikidata":"https://www.wikidata.org/wiki/Q2080707","display_name":"Petrophysics","level":3,"score":0.9170774221420288},{"id":"https://openalex.org/C2776951270","wikidata":"https://www.wikidata.org/wiki/Q8026910","display_name":"Wireline","level":3,"score":0.8098514080047607},{"id":"https://openalex.org/C2992996259","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water saturation","level":3,"score":0.6310466527938843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6048566699028015},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4747883677482605},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4681777060031891},{"id":"https://openalex.org/C35817400","wikidata":"https://www.wikidata.org/wiki/Q2383566","display_name":"Well logging","level":2,"score":0.4551718831062317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44683837890625},{"id":"https://openalex.org/C120882062","wikidata":"https://www.wikidata.org/wiki/Q28352","display_name":"Permeability (electromagnetism)","level":3,"score":0.43201470375061035},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.42915552854537964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42889320850372314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.327020525932312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3199317455291748},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.29456403851509094},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.2666637897491455},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.18159928917884827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3041366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3041366","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":[],"awards":[{"id":"https://openalex.org/G7140705763","display_name":null,"funder_award_id":"U1403191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7166580325","display_name":null,"funder_award_id":"41774144","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1515456194","https://openalex.org/W1984899575","https://openalex.org/W1994743230","https://openalex.org/W1997299870","https://openalex.org/W2003913953","https://openalex.org/W2007600287","https://openalex.org/W2008596741","https://openalex.org/W2021245834","https://openalex.org/W2028070629","https://openalex.org/W2058524839","https://openalex.org/W2070329202","https://openalex.org/W2080996760","https://openalex.org/W2087452412","https://openalex.org/W2247603160","https://openalex.org/W2413417178","https://openalex.org/W2466230134","https://openalex.org/W2755017014","https://openalex.org/W2785655013","https://openalex.org/W2884561708","https://openalex.org/W2894208607","https://openalex.org/W2902667723","https://openalex.org/W2921353619","https://openalex.org/W2995938546","https://openalex.org/W3013741574","https://openalex.org/W6719522595"],"related_works":["https://openalex.org/W1960034553","https://openalex.org/W2073125397","https://openalex.org/W1990082719","https://openalex.org/W1963993072","https://openalex.org/W2595372513","https://openalex.org/W2745299267","https://openalex.org/W4225150602","https://openalex.org/W2144804488","https://openalex.org/W2312620545","https://openalex.org/W1488608874"],"abstract_inverted_index":{"Tight":[0],"sandstone":[1,78,144,205],"reservoirs":[2,79],"are":[3,21,80,111,171],"characterized":[4],"by":[5,51,165],"low":[6],"porosity,":[7,160],"extra-low":[8],"permeability,":[9,161],"and":[10,66,88,103,121,162,180,192],"diverse":[11],"mineral":[12],"compositions":[13],"for":[14,72,76,94,203],"which":[15],"previously":[16],"established":[17],"log":[18,31,95,109],"interpretation":[19,32,96,110],"methods":[20],"not":[22],"suitable.":[23],"Therefore,":[24],"it":[25],"is":[26,37,49,97,117,137,186],"necessary":[27],"to":[28,119,139],"explore":[29],"new":[30],"methods.":[33],"The":[34,44,86,99,113,133,153,178],"committee":[35,46],"machine":[36,47,60],"a":[38,53],"recently":[39],"developed":[40],"composite":[41],"expert":[42,194],"network.":[43],"regression":[45],"(RCM)":[48],"constructed":[50],"combining":[52],"backpropagation":[54],"neural":[55,63],"network":[56,64],"(BPNN),":[57],"extreme":[58],"learning":[59],"(ELM),":[61],"wavelet":[62],"(WNN),":[65],"using":[67],"two":[68],"different":[69],"weight":[70],"calculators":[71],"decision-making.":[73],"Petrophysical":[74],"models":[75,170,181,191],"tight":[77,143,204],"integrated":[81],"together":[82],"with":[83,168,174],"the":[84,108,123,126,129,140,149,158,166,175,200],"RCM.":[85],"RCM":[87,127,167],"petrophysical":[89,169,190],"model":[90],"hybrid":[91,130,134],"intelligent":[92,131,135,184],"system":[93,136,185],"developed.":[98],"data":[100,179],"process":[101],"flow":[102],"specific":[104],"implementation":[105],"method":[106,116],"of":[107,125,145],"designed.":[112],"tenfold":[114],"cross-validation":[115],"used":[118],"train":[120],"optimize":[122],"parameters":[124],"in":[128,148],"system.":[132],"applied":[138],"Chang":[141],"8":[142],"Yanchang":[146],"Formation":[147],"Ordos":[150],"Basin,":[151],"China.":[152],"case":[154],"studies":[155],"show":[156],"that":[157],"predicted":[159],"water":[163],"saturation":[164],"all":[172],"consistent":[173],"core":[176],"measurement.":[177],"jointly":[182],"driven":[183],"more":[187],"accurate":[188],"than":[189],"individual":[193],"networks.":[195],"This":[196],"study":[197],"effectively":[198],"improves":[199],"formation":[201],"evaluation":[202],"reservoirs.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}