{"id":"https://openalex.org/W4319320052","doi":"https://doi.org/10.3390/s23041781","title":"Reservoir Lithology Identification Based on Multicore Ensemble Learning and Multiclassification Algorithm Based on Noise Detection Function","display_name":"Reservoir Lithology Identification Based on Multicore Ensemble Learning and Multiclassification Algorithm Based on Noise Detection Function","publication_year":2023,"publication_date":"2023-02-05","ids":{"openalex":"https://openalex.org/W4319320052","doi":"https://doi.org/10.3390/s23041781","pmid":"https://pubmed.ncbi.nlm.nih.gov/36850379"},"language":"en","primary_location":{"id":"doi:10.3390/s23041781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041781","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1781/pdf?version=1675583199","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/4/1781/pdf?version=1675583199","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101531174","display_name":"Menglei Li","orcid":"https://orcid.org/0000-0002-9631-6215"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Menglei Li","raw_affiliation_strings":["College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China","Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China"],"affiliations":[{"raw_affiliation_string":"College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080256631","display_name":"Chaomo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaomo Zhang","raw_affiliation_strings":["Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080256631","https://openalex.org/A5101531174"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.687,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60280152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"1781","last_page":"1781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9984999895095825,"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":0.9984999895095825,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9943000078201294,"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":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lithology","display_name":"Lithology","score":0.9506604671478271},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7280182838439941},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.6383810043334961},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5623950362205505},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.459231972694397},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43918541073799133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4297955632209778},{"id":"https://openalex.org/keywords/petrology","display_name":"Petrology","score":0.2837457060813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26137030124664307}],"concepts":[{"id":"https://openalex.org/C122792734","wikidata":"https://www.wikidata.org/wiki/Q6538759","display_name":"Lithology","level":2,"score":0.9506604671478271},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7280182838439941},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.6383810043334961},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5623950362205505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.459231972694397},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43918541073799133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4297955632209778},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.2837457060813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26137030124664307},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23041781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041781","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1781/pdf?version=1675583199","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36850379","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36850379","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9958803","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9958803","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9958803/pdf/sensors-23-01781.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a8877ae837d948649d2dde18995d1250","is_oa":true,"landing_page_url":"https://doaj.org/article/a8877ae837d948649d2dde18995d1250","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 4, p 1781 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/4/1781/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23041781","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23041781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041781","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1781/pdf?version=1675583199","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319320052.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1997731668","https://openalex.org/W2056243682","https://openalex.org/W2109743529","https://openalex.org/W2144679311","https://openalex.org/W2207243113","https://openalex.org/W2782903244","https://openalex.org/W2883116552","https://openalex.org/W2948001905","https://openalex.org/W3092342941","https://openalex.org/W3170468116","https://openalex.org/W4225597295"],"related_works":["https://openalex.org/W2365951008","https://openalex.org/W2359496214","https://openalex.org/W2383724031","https://openalex.org/W4309047080","https://openalex.org/W2358967818","https://openalex.org/W4310275134","https://openalex.org/W4385606723","https://openalex.org/W2371323192","https://openalex.org/W3204629695","https://openalex.org/W2369051866"],"abstract_inverted_index":{"Reservoir":[0],"lithology":[1,31,101,117,129,142,152],"identification":[2,14,32,102,143,153],"is":[3,69,77,103],"an":[4],"important":[5,34],"part":[6],"of":[7,13,52,75,81,90,98,108,113,128],"well":[8],"logging":[9],"interpretation.":[10],"The":[11,111],"accuracy":[12,74,112],"affects":[15],"the":[16,40,50,53,57,65,72,82,88,96,121,125,131,139,151],"subsequent":[17],"exploration":[18],"and":[19,26,55,86,148],"development":[20],"work,":[21],"such":[22],"as":[23],"reservoir":[24,30,66,100,116,141],"division":[25],"reserve":[27],"prediction.":[28],"Correct":[29],"has":[33,145],"geological":[35],"significance.":[36],"In":[37],"this":[38],"paper,":[39],"wavelet":[41],"threshold":[42],"method":[43,144],"will":[44,60],"be":[45,61,135],"used":[46,62],"to":[47,63,150],"preliminarily":[48],"reduce":[49],"noise":[51],"curve,":[54],"then":[56],"MKBoost-MC":[58,76,91,99,114,132,140],"model":[59],"identify":[64],"lithology.":[67],"It":[68],"found":[70],"that":[71,80,107],"prediction":[73],"higher":[78,105],"than":[79,106],"traditional":[83],"SVM":[84],"algorithm,":[85],"though":[87],"operation":[89],"takes":[92],"a":[93],"long":[94],"time,":[95],"speed":[97],"much":[104],"manual":[109],"processing.":[110],"for":[115],"recognition":[118],"can":[119,134],"reach":[120],"application":[122],"standard.":[123],"For":[124],"unbalanced":[126],"distribution":[127],"types,":[130],"algorithm":[133],"effectively":[136],"suppressed.":[137],"Finally,":[138],"good":[146],"applicability":[147],"practicality":[149],"problem.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}