{"id":"https://openalex.org/W4205939766","doi":"https://doi.org/10.1109/tgrs.2022.3140790","title":"Intelligent Classification of Carbonate Reservoir Quality Using Multisource Geophysical Logging and Seismic Data","display_name":"Intelligent Classification of Carbonate Reservoir Quality Using Multisource Geophysical Logging and Seismic Data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205939766","doi":"https://doi.org/10.1109/tgrs.2022.3140790"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3140790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3140790","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":true,"raw_author_name":"Yang Bai","raw_affiliation_strings":["School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 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"]}]},{"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"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017706682","display_name":"Huilan Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilan Cao","raw_affiliation_strings":["Sinopec Geophysical Research Institute, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sinopec Geophysical Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I106994412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061960050","display_name":"Jinliang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Tang","raw_affiliation_strings":["Sinopec Geophysical Research Institute, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sinopec Geophysical Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I106994412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078035917","display_name":"Zhiqiang Liang","orcid":"https://orcid.org/0000-0002-9003-1390"},"institutions":[{"id":"https://openalex.org/I106994412","display_name":"Sinopec (China)","ror":"https://ror.org/0161q6d74","country_code":"CN","type":"company","lineage":["https://openalex.org/I106994412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liang","raw_affiliation_strings":["Sinopec Geophysical Research Institute, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sinopec Geophysical Research Institute, Nanjing, China","institution_ids":["https://openalex.org/I106994412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100599279"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":null,"apc_paid":null,"fwci":1.6342,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79335414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/borehole","display_name":"Borehole","score":0.8682100772857666},{"id":"https://openalex.org/keywords/well-logging","display_name":"Well logging","score":0.7477179765701294},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5978232026100159},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5557125806808472},{"id":"https://openalex.org/keywords/geophysical-imaging","display_name":"Geophysical imaging","score":0.5243459343910217},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.47482380270957947},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4430042803287506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4281979203224182},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3572462201118469},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.3203946352005005},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.2911979556083679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2614268660545349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21440953016281128},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.1320417821407318},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09818056225776672},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07829597592353821}],"concepts":[{"id":"https://openalex.org/C150560799","wikidata":"https://www.wikidata.org/wiki/Q502102","display_name":"Borehole","level":2,"score":0.8682100772857666},{"id":"https://openalex.org/C35817400","wikidata":"https://www.wikidata.org/wiki/Q2383566","display_name":"Well logging","level":2,"score":0.7477179765701294},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5978232026100159},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5557125806808472},{"id":"https://openalex.org/C79675319","wikidata":"https://www.wikidata.org/wiki/Q5535575","display_name":"Geophysical imaging","level":2,"score":0.5243459343910217},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.47482380270957947},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4430042803287506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4281979203224182},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3572462201118469},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.3203946352005005},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.2911979556083679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2614268660545349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21440953016281128},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.1320417821407318},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09818056225776672},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07829597592353821},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3140790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3140790","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/G2725684162","display_name":null,"funder_award_id":"42174149","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":39,"referenced_works":["https://openalex.org/W759881827","https://openalex.org/W1986407430","https://openalex.org/W2021439770","https://openalex.org/W2095088894","https://openalex.org/W2132806135","https://openalex.org/W2157587478","https://openalex.org/W2381106690","https://openalex.org/W2478637249","https://openalex.org/W2625754161","https://openalex.org/W2733081941","https://openalex.org/W2753396776","https://openalex.org/W2793781565","https://openalex.org/W2795468793","https://openalex.org/W2809146475","https://openalex.org/W2889369603","https://openalex.org/W2890942567","https://openalex.org/W2899512866","https://openalex.org/W2925241115","https://openalex.org/W2934301830","https://openalex.org/W2936783199","https://openalex.org/W2941916965","https://openalex.org/W2956793658","https://openalex.org/W2981583972","https://openalex.org/W2995938546","https://openalex.org/W3004565511","https://openalex.org/W3006320849","https://openalex.org/W3016806990","https://openalex.org/W3018529310","https://openalex.org/W3035681571","https://openalex.org/W3046458482","https://openalex.org/W3049574338","https://openalex.org/W3084063616","https://openalex.org/W3092256920","https://openalex.org/W3104648051","https://openalex.org/W3105629305","https://openalex.org/W3115950624","https://openalex.org/W3123245305","https://openalex.org/W3131671646","https://openalex.org/W3199698081"],"related_works":["https://openalex.org/W2149433885","https://openalex.org/W3204288038","https://openalex.org/W4207049323","https://openalex.org/W2132659060","https://openalex.org/W2393356449","https://openalex.org/W3163459883","https://openalex.org/W2165640264","https://openalex.org/W2023456113","https://openalex.org/W2041296419","https://openalex.org/W4386427058"],"abstract_inverted_index":{"Reservoir":[0],"quality":[1,111,148,163],"evaluation":[2,123,159],"is":[3,59,178],"an":[4,128],"integral":[5],"part":[6],"of":[7,17,78,93,161,173],"oil\u2013gas":[8],"exploration":[9],"and":[10,45,81,107,121,170],"development":[11],"in":[12,25,90,112,150],"fracture-vug":[13,88],"carbonate":[14],"formations.":[15],"Varieties":[16],"geophysical":[18],"data":[19,30,52,106,120],"with":[20,166],"different":[21,91],"advantages":[22],"are":[23,164],"used":[24,101,145],"reservoir":[26,110,147,162],"evaluation.":[27],"These":[28],"multisource":[29],"include":[31],"conventional":[32],"logs":[33,37,43],"(CLs),":[34],"borehole":[35,39,122],"imaging":[36,42],"(BILs),":[38],"acoustic":[40],"reflection":[41],"(BARILs),":[44],"even":[46],"seismic":[47,119],"data.":[48,64],"Obviously,":[49],"combining":[50],"these":[51],"can":[53,143],"get":[54],"richer":[55],"formation":[56],"information,":[57],"which":[58],"more":[60],"reliable":[61],"than":[62],"single-source":[63],"In":[65,154],"this":[66],"work,":[67],"the":[68,75,87,96,104,109,113,117,135,140,155,158,167,171,174],"fusion":[69,84,105],"dataset":[70,85],"was":[71,100,131],"constructed":[72],"by":[73],"calculating":[74],"principal":[76],"components":[77],"CLs,":[79],"BILs,":[80],"BARILs.":[82],"The":[83],"describes":[86],"information":[89],"depths":[92],"investigation.":[94],"Then,":[95],"agglomerative":[97],"hierarchical":[98],"clustering":[99],"to":[102],"analyze":[103],"evaluate":[108],"borehole.":[114],"Finally,":[115],"taking":[116],"borehole-side":[118],"results":[124,160],"as":[125],"training":[126],"data,":[127,169],"intelligent":[129,141,176],"model":[130,142,177],"trained":[132],"based":[133],"on":[134],"random":[136],"forest":[137],"algorithm.":[138],"Also,":[139],"be":[144],"for":[146],"classification":[149],"a":[151],"3-D":[152],"space.":[153],"case":[156],"study,":[157],"consistent":[165],"validation":[168],"accuracy":[172],"final":[175],"85.15%.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}