{"id":"https://openalex.org/W4407084942","doi":"https://doi.org/10.3390/computation13020036","title":"A Hybrid Approach for Predictive Control of Oil Well Production Using Dynamic System Identification and Real-Time Parameter Estimation","display_name":"A Hybrid Approach for Predictive Control of Oil Well Production Using Dynamic System Identification and Real-Time Parameter Estimation","publication_year":2025,"publication_date":"2025-02-03","ids":{"openalex":"https://openalex.org/W4407084942","doi":"https://doi.org/10.3390/computation13020036"},"language":"en","primary_location":{"id":"doi:10.3390/computation13020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020036","pdf_url":"https://www.mdpi.com/2079-3197/13/2/36/pdf?version=1740128596","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"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":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/13/2/36/pdf?version=1740128596","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069242113","display_name":"Anton Gryzlov","orcid":"https://orcid.org/0000-0003-1691-7019"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anton Gryzlov","raw_affiliation_strings":["Aramco Innovations, Moscow 117105, Russia"],"raw_orcid":"https://orcid.org/0000-0003-1691-7019","affiliations":[{"raw_affiliation_string":"Aramco Innovations, Moscow 117105, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034506731","display_name":"E. B. Magadeev","orcid":"https://orcid.org/0000-0002-4623-5708"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eugene Magadeev","raw_affiliation_strings":["Aramco Innovations, Moscow 117105, Russia"],"raw_orcid":"https://orcid.org/0000-0002-4623-5708","affiliations":[{"raw_affiliation_string":"Aramco Innovations, Moscow 117105, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019372388","display_name":"Muhammad Arsalan","orcid":"https://orcid.org/0000-0002-1502-8247"},"institutions":[{"id":"https://openalex.org/I4210143841","display_name":"Saudi Aramco (Saudi Arabia)","ror":"https://ror.org/03ypap427","country_code":"SA","type":"company","lineage":["https://openalex.org/I4210143841"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Arsalan","raw_affiliation_strings":["Saudi Aramco, Dhahran 31311, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saudi Aramco, Dhahran 31311, Saudi Arabia","institution_ids":["https://openalex.org/I4210143841"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069242113"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.0749,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89150484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":"2","first_page":"36","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9998000264167786,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9966999888420105,"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.6348959803581238},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.634473443031311},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5987924933433533},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5868072509765625},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5863505601882935},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5491943955421448},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5389436483383179},{"id":"https://openalex.org/keywords/inflow","display_name":"Inflow","score":0.43623360991477966},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4306011497974396},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4288758933544159},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4210554361343384},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.28961631655693054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24441301822662354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20112574100494385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15411320328712463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12600022554397583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348959803581238},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.634473443031311},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5987924933433533},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5868072509765625},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5863505601882935},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5491943955421448},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5389436483383179},{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.43623360991477966},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4306011497974396},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4288758933544159},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4210554361343384},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28961631655693054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24441301822662354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20112574100494385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15411320328712463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12600022554397583},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computation13020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020036","pdf_url":"https://www.mdpi.com/2079-3197/13/2/36/pdf?version=1740128596","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"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":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca63cd28f5384ae1911240d20bf15d7d","is_oa":true,"landing_page_url":"https://doaj.org/article/ca63cd28f5384ae1911240d20bf15d7d","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":"Computation, Vol 13, Iss 2, p 36 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computation13020036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13020036","pdf_url":"https://www.mdpi.com/2079-3197/13/2/36/pdf?version=1740128596","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"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":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407084942.pdf","grobid_xml":"https://content.openalex.org/works/W4407084942.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1631623342","https://openalex.org/W1964704454","https://openalex.org/W1976733354","https://openalex.org/W1976962530","https://openalex.org/W1977267386","https://openalex.org/W1983049002","https://openalex.org/W2002219970","https://openalex.org/W2016095551","https://openalex.org/W2019453139","https://openalex.org/W2059766275","https://openalex.org/W2066372497","https://openalex.org/W2073787051","https://openalex.org/W2105934661","https://openalex.org/W2142877392","https://openalex.org/W2151406002","https://openalex.org/W2239232218","https://openalex.org/W2573798107","https://openalex.org/W2768748954","https://openalex.org/W2901254110","https://openalex.org/W2981906852","https://openalex.org/W3100769368","https://openalex.org/W3189223768","https://openalex.org/W4211147054","https://openalex.org/W6644838101","https://openalex.org/W6646130610"],"related_works":["https://openalex.org/W3095032300","https://openalex.org/W142238503","https://openalex.org/W2045242506","https://openalex.org/W2094226075","https://openalex.org/W1909999440","https://openalex.org/W1576040274","https://openalex.org/W2094241856","https://openalex.org/W2189300986","https://openalex.org/W2101377286","https://openalex.org/W3017153079"],"abstract_inverted_index":{"A":[0],"significant":[1],"part":[2],"of":[3,17,30,33,45,58,67,79,90,97,103,125,140,151,157,200,216],"modern":[4],"natural":[5],"sciences":[6],"aims":[7],"to":[8,13,213,221],"establish":[9],"a":[10,46,77,87,104,132,167,186,206,217],"model-based":[11,31,134],"approach":[12,106,135,204],"describe":[14],"the":[15,43,49,84,101,113,123,126,149,152,158,162,171,177,198,214,222],"behavior":[16],"physical":[18,95,141],"systems":[19],"and":[20,48,86,115,209],"forecast":[21],"their":[22],"dynamics":[23],"in":[24,184],"different":[25],"scenarios.":[26],"The":[27,55,155,182],"successful":[28],"application":[29,212],"analysis":[32],"transport":[34],"phenomena":[35,142],"is":[36,164,174,189],"driven":[37],"by":[38,63,143,166],"several":[39],"components,":[40],"such":[41,93,185,201],"as":[42,94],"consistency":[44],"model":[47,85,109,172,188],"uncertainty":[50,124],"associated":[51],"with":[52],"its":[53,211],"parameters.":[54],"unsatisfactory":[56],"results":[57],"simulations":[59],"can":[60,75],"be":[61,76],"caused":[62],"an":[64,137,202],"improper":[65],"choice":[66,89],"numerical":[68],"methods":[69],"used,":[70],"but":[71],"more":[72],"importantly,":[73],"it":[74],"result":[78],"wrong":[80],"assumptions":[81],"while":[82,170],"establishing":[83],"poor":[88],"closure":[91],"parameters":[92],"properties":[96],"fluids.":[98],"This":[99,129,195],"motivated":[100],"development":[102],"hybrid":[105],"that":[107],"combines":[108],"identification":[110,156],"directly":[111],"from":[112,161],"data":[114,163],"subsequent":[116],"real-time":[117],"parameter":[118],"estimation,":[119],"which":[120],"eventually":[121],"minimizes":[122],"developed":[127],"model.":[128],"essentially":[130],"brings":[131],"new":[133],"for":[136,192],"optimal":[138],"simulation":[139],"incorporating":[144],"stringent":[145],"interactions":[146],"between":[147],"all":[148],"stages":[150],"modeling":[153],"process.":[154],"governing":[159],"equation":[160],"achieved":[165],"regression":[168],"technique,":[169],"refinement":[173],"performed":[175],"using":[176],"extended":[178],"Kalman":[179],"filter":[180],"algorithm.":[181],"obtained":[183],"way":[187],"then":[190],"applied":[191],"control-oriented":[193],"analysis.":[194],"paper":[196],"discusses":[197],"deployment":[199],"integrated":[203],"on":[205],"step-to-step":[207],"basis":[208],"demonstrates":[210],"problem":[215],"single-phase":[218],"oil":[219],"inflow":[220],"producing":[223],"well.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}