{"id":"https://openalex.org/W7166802129","doi":"https://doi.org/10.54859/kjogi108909","title":"Application of artificial intelligence in the oil and gas industry: trend or necessity?","display_name":"Application of artificial intelligence in the oil and gas industry: trend or necessity?","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166802129","doi":"https://doi.org/10.54859/kjogi108909"},"language":"en","primary_location":{"id":"doi:10.54859/kjogi108909","doi":"https://doi.org/10.54859/kjogi108909","is_oa":true,"landing_page_url":"https://doi.org/10.54859/kjogi108909","pdf_url":"https://vestnik-ngo.kz/2707-4226/article/download/108909/pdf","source":{"id":"https://openalex.org/S4210177579","display_name":"Kazakhstan journal for oil & gas industry","issn_l":"2707-4226","issn":["2707-4226","2957-806X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kazakhstan journal for oil &amp; gas industry","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7166802129"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vestnik-ngo.kz/2707-4226/article/download/108909/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139827330","display_name":"Anar I. Ayaganova","orcid":"https://orcid.org/0009-0009-9712-6737","observed_orcids":["https://orcid.org/0009-0009-9712-6737"]},"institutions":[{"id":"https://openalex.org/I4210148059","display_name":"Atyrau University of Oil and Gas","ror":"https://ror.org/03mw9fr44","country_code":"KZ","type":"education","lineage":["https://openalex.org/I4210148059"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Anar I. Ayaganova","raw_affiliation_strings":["Atyrau Oil and Gas University"],"raw_orcid":"https://orcid.org/0009-0009-9712-6737","affiliations":[{"raw_affiliation_string":"Atyrau Oil and Gas University","institution_ids":["https://openalex.org/I4210148059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045532295","display_name":"Darkhan Kurmangaliyev","orcid":"https://orcid.org/0009-0000-6898-1907","observed_orcids":["https://orcid.org/0009-0000-6898-1907"]},"institutions":[{"id":"https://openalex.org/I4210120406","display_name":"KazMunayGas (Kazakhstan)","ror":"https://ror.org/02k3grx88","country_code":"KZ","type":"company","lineage":["https://openalex.org/I4210120406"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Darkhan Zh. Kurmangaliyev","raw_affiliation_strings":["KMG Engineering"],"raw_orcid":"https://orcid.org/0009-0000-6898-1907","affiliations":[{"raw_affiliation_string":"KMG Engineering","institution_ids":["https://openalex.org/I4210120406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139819552","display_name":"Aliya Sh. Abilgaziyeva","orcid":"https://orcid.org/0009-0001-8496-6931","observed_orcids":["https://orcid.org/0009-0001-8496-6931"]},"institutions":[{"id":"https://openalex.org/I4210148059","display_name":"Atyrau University of Oil and Gas","ror":"https://ror.org/03mw9fr44","country_code":"KZ","type":"education","lineage":["https://openalex.org/I4210148059"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Aliya Sh. Abilgaziyeva","raw_affiliation_strings":["Atyrau Oil and Gas University"],"raw_orcid":"https://orcid.org/0009-0001-8496-6931","affiliations":[{"raw_affiliation_string":"Atyrau Oil and Gas University","institution_ids":["https://openalex.org/I4210148059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117112360","display_name":"Nadezhda K. Dukessova","orcid":"https://orcid.org/0009-0009-7198-731X","observed_orcids":["https://orcid.org/0009-0009-7198-731X"]},"institutions":[{"id":"https://openalex.org/I4210120406","display_name":"KazMunayGas (Kazakhstan)","ror":"https://ror.org/02k3grx88","country_code":"KZ","type":"company","lineage":["https://openalex.org/I4210120406"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Nadezhda K. Dukessova","raw_affiliation_strings":["KMG Engineering"],"raw_orcid":"https://orcid.org/0009-0009-7198-731X","affiliations":[{"raw_affiliation_string":"KMG Engineering","institution_ids":["https://openalex.org/I4210120406"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"59","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.7310000061988831,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.7310000061988831,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.06589999794960022,"subfield":{"id":"https://openalex.org/subfields/2103","display_name":"Fuel Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.05310000106692314,"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/lithological-classification","display_name":"lithology classification","score":0.9129999876022339},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7020000219345093},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8679999709129333},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.6690000295639038},{"id":"https://openalex.org/keywords/ensemble-methods","display_name":"ensemble methods","score":0.7110000252723694},{"id":"https://openalex.org/keywords/geological-exploration","display_name":"geological exploration","score":0.6600000262260437},{"id":"https://openalex.org/keywords/geophysical-interpretation","display_name":"geophysical interpretation","score":0.7070000171661377}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C35817400","wikidata":"https://www.wikidata.org/wiki/Q2383566","display_name":"Well logging","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C68189081","wikidata":"https://www.wikidata.org/wiki/Q12748","display_name":"Fossil fuel","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.35760000348091125},{"id":"https://openalex.org/C526740375","wikidata":"https://www.wikidata.org/wiki/Q862571","display_name":"Petroleum industry","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C2776364302","wikidata":"https://www.wikidata.org/wiki/Q1845437","display_name":"Oil field","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3163999915122986},{"id":"https://openalex.org/C183250156","wikidata":"https://www.wikidata.org/wiki/Q5916050","display_name":"Reservoir engineering","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C2988666330","wikidata":"https://www.wikidata.org/wiki/Q3241434","display_name":"Oil exploration","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2928999960422516},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2776662147","wikidata":"https://www.wikidata.org/wiki/Q3241434","display_name":"Hydrocarbon exploration","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2612999975681305},{"id":"https://openalex.org/C2776386368","wikidata":"https://www.wikidata.org/wiki/Q6667385","display_name":"Logging while drilling","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C24345647","wikidata":"https://www.wikidata.org/wiki/Q1147488","display_name":"Unconventional oil","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54859/kjogi108909","doi":"https://doi.org/10.54859/kjogi108909","is_oa":true,"landing_page_url":"https://doi.org/10.54859/kjogi108909","pdf_url":"https://vestnik-ngo.kz/2707-4226/article/download/108909/pdf","source":{"id":"https://openalex.org/S4210177579","display_name":"Kazakhstan journal for oil & gas industry","issn_l":"2707-4226","issn":["2707-4226","2957-806X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kazakhstan journal for oil &amp; gas industry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54859/kjogi108909","doi":"https://doi.org/10.54859/kjogi108909","is_oa":true,"landing_page_url":"https://doi.org/10.54859/kjogi108909","pdf_url":"https://vestnik-ngo.kz/2707-4226/article/download/108909/pdf","source":{"id":"https://openalex.org/S4210177579","display_name":"Kazakhstan journal for oil & gas industry","issn_l":"2707-4226","issn":["2707-4226","2957-806X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kazakhstan journal for oil &amp; gas industry","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166802129.pdf","grobid_xml":"https://content.openalex.org/works/W7166802129.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2911275664","https://openalex.org/W2990652904","https://openalex.org/W3044465174","https://openalex.org/W4307168450","https://openalex.org/W4389491705"],"related_works":["https://openalex.org/W6943722560","https://openalex.org/W3124414187","https://openalex.org/W4389482473","https://openalex.org/W3000007920","https://openalex.org/W7171703720","https://openalex.org/W4296734022","https://openalex.org/W7172258221","https://openalex.org/W3172365935","https://openalex.org/W3106367675","https://openalex.org/W7150227343"],"abstract_inverted_index":{"Background:":[0],"In":[1],"recent":[2],"decades,":[3],"artificial":[4,356],"intelligence":[5,357],"technologies":[6,131,358],"(hereinafter":[7,105],"\u2013":[8,106],"AI)":[9],"have":[10],"been":[11],"rapidly":[12],"integrated":[13,149],"into":[14,333],"the":[15,51,86,96,133,176,198,201,231,238,254,267,271,294,306,328,353,362,369,385],"oil":[16,87,161,370],"and":[17,31,42,57,69,73,88,117,139,143,148,152,160,162,169,213,236,242,253,260,276,291,314,341,345,371,394,400,411],"gas":[18,89,163,372],"industry,":[19,90],"covering":[20],"key":[21,363],"stages":[22],"of":[23,36,53,82,98,101,109,114,119,125,135,141,155,179,200,233,240,257,266,273,296,330,343,355,361,365,374,378,387,407],"geological":[24,120,142,259,344,388,409],"exploration,":[25],"geophysical":[26,144,261],"data":[27,38,104,221,234,320,392],"interpretation,":[28,395],"reservoir":[29],"modeling,":[30],"field":[32,134,402],"development.":[33],"Modern":[34],"methods":[35,183,275],"big":[37],"analysis,":[39],"machine":[40,181,204,215],"learning,":[41],"intelligent":[43],"control":[44],"systems":[45,336],"make":[46],"it":[47,281,381],"possible":[48,282,382],"to":[49,175,250,283,327,383],"improve":[50,384],"accuracy":[52,286],"interpreting":[54],"geological,":[55],"geophysical,":[56],"well":[58,102,136,194,246,297],"logging":[59,103,115,195,298],"data,":[60],"reduce":[61,401],"uncertainty":[62],"in":[63,85,128,132,287,368],"engineering":[64],"decision-making,":[65],"minimize":[66],"operational":[67,338],"risks,":[68],"optimize":[70],"hydrocarbon":[71,397],"exploration":[72,121,389],"production":[74,319],"processes.":[75,122],"Aim:":[76],"This":[77],"article":[78],"examines":[79],"contemporary":[80],"areas":[81],"AI":[83,130,379],"application":[84,272],"with":[91],"a":[92],"particular":[93],"focus":[94],"on":[95,193],"tasks":[97],"automated":[99,189],"interpretation":[100,140,295],"WL),":[107],"classification":[108,191,290],"lithological":[110,288],"rock":[111],"composition,":[112],"reconstruction":[113],"curves,":[116],"digitalization":[118],"An":[123],"analysis":[124],"global":[126],"experience":[127,178],"implementing":[129],"logging,":[137],"processing":[138,393],"information":[145,335],"is":[146,173,324,350],"conducted,":[147],"software":[150],"solutions":[151],"digital":[153,366],"platforms":[154],"leading":[156],"international":[157],"oilfield":[158],"service":[159],"companies":[164],"are":[165],"also":[166,229,325],"reviewed.":[167],"Materials":[168],"Methods:":[170],"Particular":[171,322],"attention":[172,323],"given":[174,326],"practical":[177],"applying":[180],"learning":[182,205,216],"at":[184],"KMG":[185],"Engineering":[186],"LLP":[187],"for":[188,337],"lithology":[190,339],"based":[192],"data.":[196,262,299],"Within":[197],"framework":[199],"study,":[202],"various":[203],"algorithms,":[206,217],"including":[207],"Logistic":[208],"Regression,":[209],"Random":[210,307],"Forest,":[211],"XGBoost,":[212],"other":[214],"were":[218,303],"tested":[219],"using":[220,305],"from":[222],"more":[223],"than":[224],"100":[225],"wells.":[226],"The":[227,264,300,376],"study":[228,268],"considers":[230],"specifics":[232],"preparation":[235],"cleaning,":[237],"formation":[239],"training":[241],"test":[243],"datasets,":[244],"as":[245,247],"issues":[248],"related":[249],"incompleteness,":[251],"heterogeneity,":[252],"low":[255],"quality":[256],"historical":[258],"Results:":[263],"results":[265,302],"demonstrated":[269,311],"that":[270,352],"ensemble":[274],"gradient":[277],"boosting":[278],"algorithms":[279],"makes":[280,380],"achieve":[284],"high":[285,312],"type":[289],"effectively":[292],"automate":[293],"best":[301],"obtained":[304],"Forest":[308],"algorithm,":[309],"which":[310],"robustness":[313],"predictive":[315],"performance":[316],"under":[317,405],"real":[318],"conditions.":[321],"integration":[329],"trained":[331],"models":[332],"corporate":[334],"prediction":[340],"support":[342],"technical":[346],"decision-making.":[347],"Conclusion:":[348],"It":[349],"concluded":[351],"implementation":[354],"represents":[359],"one":[360],"directions":[364],"transformation":[367],"industry":[373],"Kazakhstan.":[375],"use":[377],"efficiency":[386],"activities,":[390],"accelerate":[391],"increase":[396],"recovery":[398],"factors,":[399],"development":[403],"costs":[404],"conditions":[406],"increasing":[408],"complexity":[410],"declining":[412],"resource":[413],"base":[414],"quality.":[415]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-02T00:00:00"}
