{"id":"https://openalex.org/W3207545858","doi":"https://doi.org/10.2118/205219-ms","title":"Data-Driven PHM Solution for Health Monitoring of Mud Motor Power Sections While Drilling","display_name":"Data-Driven PHM Solution for Health Monitoring of Mud Motor Power Sections While Drilling","publication_year":2021,"publication_date":"2021-10-18","ids":{"openalex":"https://openalex.org/W3207545858","doi":"https://doi.org/10.2118/205219-ms","mag":"3207545858"},"language":"en","primary_location":{"id":"doi:10.2118/205219-ms","doi":"https://doi.org/10.2118/205219-ms","is_oa":false,"landing_page_url":"https://doi.org/10.2118/205219-ms","pdf_url":null,"source":{"id":"https://openalex.org/S4306499730","display_name":"EAGE Conference and Exhibition incorporating SPE EUROPEC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPE Europec featured at 82nd EAGE Conference and Exhibition","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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":null,"display_name":"Dmitry Belov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitry Belov","raw_affiliation_strings":["Schlumberger"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schlumberger","institution_ids":["https://openalex.org/I4210090857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007058241","display_name":"Samba BA","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samba BA","raw_affiliation_strings":["Schlumberger"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schlumberger","institution_ids":["https://openalex.org/I4210090857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091016394","display_name":"Ji Tang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Tang Liu","raw_affiliation_strings":["Schlumberger"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schlumberger","institution_ids":["https://openalex.org/I4210090857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037957106","display_name":"Anton Kolyshkin","orcid":"https://orcid.org/0000-0001-5464-5902","observed_orcids":["https://orcid.org/0000-0001-5464-5902"]},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anton Kolyshkin","raw_affiliation_strings":["Schlumberger"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schlumberger","institution_ids":["https://openalex.org/I4210090857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054760805","display_name":"Sergio Daniel Rocchio","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergio Daniel Rocchio","raw_affiliation_strings":["Schlumberger"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schlumberger","institution_ids":["https://openalex.org/I4210090857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090857"],"apc_list":null,"apc_paid":null,"fwci":5.0556,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96873473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.5820000171661377,"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"}},"topics":[{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.5820000171661377,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.28049999475479126,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.08630000054836273,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/mud-motor","display_name":"mud motor","score":0.8980000019073486},{"id":"https://openalex.org/keywords/prognostics-and-health-management","display_name":"prognostics and health management","score":0.9100000262260437},{"id":"https://openalex.org/keywords/remaining-useful-life-prediction","display_name":"remaining useful life prediction","score":0.8870000243186951},{"id":"https://openalex.org/keywords/fatigue-life-prediction","display_name":"fatigue life prediction","score":0.6470000147819519},{"id":"https://openalex.org/keywords/physics-based-modeling","display_name":"physics-based modeling","score":0.6449999809265137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7829999923706055},{"id":"https://openalex.org/keywords/failure-prevention","display_name":"failure prevention","score":0.6930000185966492},{"id":"https://openalex.org/keywords/maintenance-cost-reduction","display_name":"maintenance cost reduction","score":0.8489999771118164},{"id":"https://openalex.org/keywords/directional-drilling","display_name":"directional drilling","score":0.8270000219345093},{"id":"https://openalex.org/keywords/fleet-management","display_name":"fleet management","score":0.7559999823570251}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5881461501121521},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5683870315551758},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5669921040534973},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.5141894817352295},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4752920866012573},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4484090507030487},{"id":"https://openalex.org/C1034443","wikidata":"https://www.wikidata.org/wiki/Q2583685","display_name":"Propulsion","level":2,"score":0.44717076420783997},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.44378969073295593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43601900339126587},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.43229180574417114},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41947031021118164},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.41804295778274536},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41745632886886597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3763643503189087},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3598523736000061},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2118/205219-ms","doi":"https://doi.org/10.2118/205219-ms","is_oa":false,"landing_page_url":"https://doi.org/10.2118/205219-ms","pdf_url":null,"source":{"id":"https://openalex.org/S4306499730","display_name":"EAGE Conference and Exhibition incorporating SPE EUROPEC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPE Europec featured at 82nd EAGE Conference and Exhibition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.8970999717712402,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2549863761","https://openalex.org/W2743316100","https://openalex.org/W2797357016","https://openalex.org/W6750413832"],"related_works":["https://openalex.org/W4402572323","https://openalex.org/W3175540876","https://openalex.org/W4323308241","https://openalex.org/W4411832616","https://openalex.org/W4392187554","https://openalex.org/W4387235376","https://openalex.org/W3135422864","https://openalex.org/W7155689674","https://openalex.org/W4323305364","https://openalex.org/W4323305772"],"abstract_inverted_index":{"Abstract":[0],"Mud":[1],"motors":[2],"are":[3,19],"widely":[4],"used":[5],"for":[6,91,138,305],"directional":[7],"and":[8,33,42,51,104,116,131,168,184,213,234,253,289,308,325],"performance":[9,272],"drilling.":[10],"Due":[11],"to":[12,21,49,100,265,320],"the":[13,40,53,56,147,155,172,179,191,206,209,214,220,225,242,263,266,280,297,300,306],"extremely":[14],"challenging":[15],"operating":[16],"conditions,":[17],"they":[18],"prone":[20],"failures,":[22],"resulting":[23],"in":[24,146,224,227],"unnecessary":[25],"maintenance":[26,102,207,232,251],"repair":[27],"costs":[28,103],"as":[29,31],"well":[30,210],"unpredictable":[32],"very":[34],"costly":[35],"drilling":[36,203,271],"failure.":[37],"Until":[38],"now,":[39],"oil":[41,307],"gas":[43,309],"industry":[44,69,310],"has":[45],"lacked":[46],"reliable":[47],"procedures":[48],"monitor":[50],"maintain":[52],"health":[54,72],"of":[55,96,127,154,171,190,219,231,248,255,287,293,299,315],"mud":[57,106,174,301],"motor":[58,107,175,302],"power":[59,129,316],"sections.":[60],"Recently,":[61],"we":[62],"systematically":[63],"addressed":[64],"this":[65,97,294],"problem":[66],"with":[67,134,149,178,241,269,284],"an":[68],"unique":[70],"prognostic":[71],"management":[73,283],"solution,":[74],"which":[75],"not":[76],"only":[77],"tracks":[78],"remaining":[79],"useful":[80],"life":[81],"(RUL),":[82],"but":[83],"also":[84],"creates":[85],"a":[86,113,118,123,128,202],"new":[87,142],"failure":[88,235,258],"prevention":[89],"scheme":[90],"operators.":[92],"The":[93,141,152,194,216,237,291],"key":[94],"objective":[95],"solution":[98,157,196,304],"is":[99,197],"reduce":[101],"improve":[105],"fleet":[108,282],"reliability.":[109,275,328],"It's":[110],"based":[111,160],"on":[112,161],"high-fidelity":[114,124],"model":[115,126],"uses":[117],"hybrid":[119],"approach":[120],"by":[121,311],"combining":[122],"physics-based":[125],"section":[130,317],"data-driven":[132],"approaches":[133],"machine":[135],"learning":[136],"techniques":[137],"real-time":[139],"applications.":[140],"methodology":[143],"was":[144,158,222,239],"tested":[145],"field":[148,163,226],"great":[150],"success.":[151],"verification":[153],"created":[156],"completed":[159],"numerous":[162],"data":[164],"from":[165],"Saudi":[166],"Arabia":[167],"Argentina.":[169],"Comparison":[170],"predicted":[173],"fatigue":[176],"values":[177],"actual":[180],"observed":[181],"post-job":[182],"conditions":[183],"job":[185],"failures":[186],"demonstrated":[187],"high":[188],"fidelity":[189],"developed":[192],"models.":[193],"whole":[195],"currently":[198],"being":[199],"integrated":[200],"into":[201],"platform":[204],"including":[205],"system,":[208],"construction":[211],"planning,":[212],"execution.":[215],"first":[217],"application":[218],"workflow":[221],"deployed":[223],"Colombia":[228],"targeting":[229],"reduction":[230],"cost":[233,286],"avoidance.":[236],"result":[238],"outstanding,":[240],"initial":[243],"deployment":[244],"bringing":[245],"about":[246],"27%":[247],"projected":[249,256],"yearly":[250,257],"savings":[252],"10%":[254],"reduction.":[259],"It":[260],"enables":[261],"using":[262],"equipment":[264],"full":[267],"extent":[268],"increased":[270,326],"without":[273],"sacrificing":[274],"In":[276],"addition,":[277],"it":[278],"optimizes":[279],"entire":[281],"reduced":[285,321],"logistics":[288],"maintenance.":[290],"findings":[292],"paper":[295],"demonstrate":[296],"value":[298],"PHM":[303],"providing":[312],"accurate":[313],"prognosis":[314],"health,":[318],"leading":[319],"costs,":[322],"minimized":[323],"NPT,":[324],"operational":[327]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-25T00:00:00"}
