{"id":"https://openalex.org/W2507923577","doi":"https://doi.org/10.1142/s1469026816500139","title":"BP Neural Network with Genetic Algorithm Optimization for Prediction of Geo-Stress State from Wellbore Pressures","display_name":"BP Neural Network with Genetic Algorithm Optimization for Prediction of Geo-Stress State from Wellbore Pressures","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2507923577","doi":"https://doi.org/10.1142/s1469026816500139","mag":"2507923577"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026816500139","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026816500139","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5034187578","display_name":"Shike Zhang","orcid":"https://orcid.org/0000-0002-2908-3669"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shike Zhang","raw_affiliation_strings":["School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059415577","display_name":"Jincheng Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Lv","raw_affiliation_strings":["School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinsheng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinsheng Yuan","raw_affiliation_strings":["School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Anyang Normal University, No. 436 Xian\u2019ge Ave., Anyang, Henan 455000, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014957846","display_name":"Shunde Yin","orcid":"https://orcid.org/0000-0002-4854-693X"},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunde Yin","raw_affiliation_strings":["Department of Petroleum Engineering, University of Wyoming, Dept. 3295 1000 E. University, Ave. Laramie, WY 82071, USA"],"affiliations":[{"raw_affiliation_string":"Department of Petroleum Engineering, University of Wyoming, Dept. 3295 1000 E. University, Ave. Laramie, WY 82071, USA","institution_ids":["https://openalex.org/I12834331"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034187578"],"corresponding_institution_ids":["https://openalex.org/I4210117382"],"apc_list":null,"apc_paid":null,"fwci":1.4544,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80446181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"03","first_page":"1650013","last_page":"1650013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10161","display_name":"Rock Mechanics and Modeling","score":0.9976999759674072,"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/T10161","display_name":"Rock Mechanics and Modeling","score":0.9976999759674072,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9957000017166138,"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":0.9943000078201294,"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/hydraulic-fracturing","display_name":"Hydraulic fracturing","score":0.6189516186714172},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6177468299865723},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.595130205154419},{"id":"https://openalex.org/keywords/ultimate-tensile-strength","display_name":"Ultimate tensile strength","score":0.5753480195999146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726718902587891},{"id":"https://openalex.org/keywords/pore-water-pressure","display_name":"Pore water pressure","score":0.5412376523017883},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5178685188293457},{"id":"https://openalex.org/keywords/wellbore","display_name":"Wellbore","score":0.46360480785369873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4120980203151703},{"id":"https://openalex.org/keywords/fracture","display_name":"Fracture (geology)","score":0.4116780459880829},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35635459423065186},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.2566525936126709},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2537063956260681},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.2149999737739563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18930423259735107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15079697966575623}],"concepts":[{"id":"https://openalex.org/C2779096232","wikidata":"https://www.wikidata.org/wiki/Q890794","display_name":"Hydraulic fracturing","level":2,"score":0.6189516186714172},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6177468299865723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.595130205154419},{"id":"https://openalex.org/C112950240","wikidata":"https://www.wikidata.org/wiki/Q76005","display_name":"Ultimate tensile strength","level":2,"score":0.5753480195999146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726718902587891},{"id":"https://openalex.org/C102579867","wikidata":"https://www.wikidata.org/wiki/Q2914346","display_name":"Pore water pressure","level":2,"score":0.5412376523017883},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5178685188293457},{"id":"https://openalex.org/C9677107","wikidata":"https://www.wikidata.org/wiki/Q502102","display_name":"Wellbore","level":2,"score":0.46360480785369873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4120980203151703},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.4116780459880829},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35635459423065186},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.2566525936126709},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2537063956260681},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.2149999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18930423259735107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15079697966575623},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026816500139","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026816500139","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W577010948","https://openalex.org/W1254194005","https://openalex.org/W1497256448","https://openalex.org/W1968081680","https://openalex.org/W1996829128","https://openalex.org/W1998770129","https://openalex.org/W2007401941","https://openalex.org/W2030262072","https://openalex.org/W2059152771","https://openalex.org/W2060262642","https://openalex.org/W2063093386","https://openalex.org/W2080913375","https://openalex.org/W2093586710","https://openalex.org/W2101938037","https://openalex.org/W2104365939","https://openalex.org/W2132985147","https://openalex.org/W2142988211","https://openalex.org/W2183783997","https://openalex.org/W2766736793","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2980694549","https://openalex.org/W4297733850","https://openalex.org/W2978535039","https://openalex.org/W2037610219","https://openalex.org/W3003561742","https://openalex.org/W2801290525","https://openalex.org/W2626198560","https://openalex.org/W2048405386","https://openalex.org/W2926703586","https://openalex.org/W2068585706"],"abstract_inverted_index":{"Although":[0],"lots":[1],"of":[2,12,32,43,67,103,108,114,179,203],"ways":[3],"can":[4],"be":[5],"used":[6,81,97],"to":[7,47,59,98],"estimate":[8],"geo-stress":[9,13,91,163],"state,":[10],"estimation":[11],"state":[14,164],"without":[15],"knowing":[16],"geomechanical":[17],"parameters":[18,147],"such":[19,148],"as":[20,149],"pore":[21,150,174],"pressure,":[22,151],"tensile":[23,152,177],"strength":[24,153,178],"and":[25,89,106,154,176,190],"Poisson\u2019s":[26,155],"ratio,":[27],"etc.,":[28],"still":[29],"remains":[30],"one":[31],"the":[33,61,74,78,86,90,94,101,104,119,127,136,139,143,160,162,169,200,215,219],"most":[34],"challenging":[35],"tasks":[36],"in":[37,122,142],"geotechnical":[38],"engineering.":[39],"The":[40],"main":[41],"contribution":[42],"this":[44],"paper":[45],"is":[46,80,96,210],"present":[48],"a":[49,83],"back-propagation":[50],"neural":[51],"network":[52],"(BPNN)":[53],"with":[54,130,192],"genetic":[55,131],"algorithm":[56,132],"(GA)":[57],"optimization":[58,102,133,194],"predict":[60],"geo-stresses":[62,137,204],"based":[63,117],"on":[64,118],"wellbore":[65],"pressures":[66,88,121],"hydraulic":[68,123],"fracturing":[69,124],"tests":[70],"during":[71],"drilling.":[72],"In":[73,159],"suggested":[75],"hybrid":[76],"model,":[77],"BPNN":[79,109,128,189,191,221],"establish":[82],"mapping":[84],"between":[85],"recording":[87],"state.":[92],"Also":[93],"GA":[95,193],"carry":[99],"out":[100],"weights":[105],"thresholds":[107],"model":[110,129,209],"for":[111],"improving":[112],"accuracy":[113,202],"prediction.":[115],"Finally,":[116],"record":[120],"(HF)":[125],"tests,":[126],"successfully":[134],"predicts":[135],"at":[138],"corresponding":[140],"formation":[141],"event":[144],"that":[145,199],"these":[146],"ratio":[156],"are":[157,182,195],"unavailable.":[158],"meantime,":[161],"has":[165],"been":[166],"calculated":[167],"using":[168,207],"theoretical":[170,187],"formula":[171],"by":[172,206,218],"assuming":[173],"pressure":[175],"rock":[180],"mass":[181],"known.":[183],"Then":[184],"results":[185,217],"from":[186],"equation,":[188],"compared,":[196],"which":[197],"shows":[198],"degree":[201],"predicted":[205,216],"GA-BPNN":[208],"more":[211],"obviously":[212],"improvement":[213],"than":[214],"basic":[220],"model.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
