{"id":"https://openalex.org/W4415514528","doi":"https://doi.org/10.1049/icp.2025.3096","title":"Study on optimization and numerical simulation of reservoir profile control parameters based on intelligent optimization algorithm","display_name":"Study on optimization and numerical simulation of reservoir profile control parameters based on intelligent optimization algorithm","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4415514528","doi":"https://doi.org/10.1049/icp.2025.3096"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2025.3096","doi":"https://doi.org/10.1049/icp.2025.3096","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3096","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","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/A5100562164","display_name":"Long Xu","orcid":"https://orcid.org/0000-0002-7801-4627","observed_orcids":["https://orcid.org/0000-0002-7801-4627"]},"institutions":[{"id":"https://openalex.org/I4387155657","display_name":"Daqing Oilfield of CNPC","ror":"https://ror.org/03shhrx95","country_code":null,"type":"company","lineage":["https://openalex.org/I4387155657","https://openalex.org/I98227222"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Long Xu","raw_affiliation_strings":["Daqing Oilfield Co., Ltd. The Third Oil Production Plant Seventh Operation Area, Daqing, 163000, Heilongjiang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daqing Oilfield Co., Ltd. The Third Oil Production Plant Seventh Operation Area, Daqing, 163000, Heilongjiang, People's Republic of China","institution_ids":["https://openalex.org/I4387155657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402822","display_name":"Jing Ning","orcid":"https://orcid.org/0000-0001-9712-5640","observed_orcids":["https://orcid.org/0000-0001-9712-5640"]},"institutions":[{"id":"https://openalex.org/I4387155657","display_name":"Daqing Oilfield of CNPC","ror":"https://ror.org/03shhrx95","country_code":null,"type":"company","lineage":["https://openalex.org/I4387155657","https://openalex.org/I98227222"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Ning","raw_affiliation_strings":["Daqing Oilfield Co., Ltd. The Third Oil Production Plant Seventh Operation Area, Daqing, 163000, Heilongjiang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daqing Oilfield Co., Ltd. The Third Oil Production Plant Seventh Operation Area, Daqing, 163000, Heilongjiang, People's Republic of China","institution_ids":["https://openalex.org/I4387155657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048579223","display_name":"Lin Long Zhu","orcid":"https://orcid.org/0000-0002-0301-6636","observed_orcids":["https://orcid.org/0000-0002-0301-6636"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["Geological Research Institute of the Third Oil Production Plant, Daqing, 163000, Heilongjiang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geological Research Institute of the Third Oil Production Plant, Daqing, 163000, Heilongjiang, People's Republic of China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4977058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"25","first_page":"470","last_page":"474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.7567999958992004,"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":0.7567999958992004,"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/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.2410999983549118,"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":0.00019999999494757503,"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/genetic-algorithm-optimization","display_name":"genetic algorithm optimization","score":0.6869999766349792},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.7950000166893005},{"id":"https://openalex.org/keywords/oil-recovery","display_name":"oil recovery","score":0.7820000052452087},{"id":"https://openalex.org/keywords/water-cut","display_name":"water cut","score":0.8149999976158142},{"id":"https://openalex.org/keywords/penalty-function","display_name":"penalty method","score":0.6650000214576721},{"id":"https://openalex.org/keywords/water-injection-development","display_name":"water injection development","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6668000221252441},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5455999970436096},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C2778668878","wikidata":"https://www.wikidata.org/wiki/Q6380338","display_name":"Reservoir simulation","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46160000562667847},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4016999900341034},{"id":"https://openalex.org/C2776364302","wikidata":"https://www.wikidata.org/wiki/Q1845437","display_name":"Oil field","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C153240184","wikidata":"https://www.wikidata.org/wiki/Q3243772","display_name":"Control variable","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C2778904306","wikidata":"https://www.wikidata.org/wiki/Q7981117","display_name":"Well control","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3246999979019165},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C2780968500","wikidata":"https://www.wikidata.org/wiki/Q25304881","display_name":"Simulation-based optimization","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2779681308","wikidata":"https://www.wikidata.org/wiki/Q1049254","display_name":"Enhanced oil recovery","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.2637999951839447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2025.3096","doi":"https://doi.org/10.1049/icp.2025.3096","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3096","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"reservoir":[1,53,62,202,215],"profile":[2,37,41,45,88,105,109,144,164,186,203],"control":[3,38,42,46,89,106,110,145,165,187,204],"methods":[4],"rely":[5],"on":[6,113,207],"empirical":[7],"formulas":[8],"and":[9,12,29,49,56,68,86,108,142,167,218,227],"trial-and-error":[10],"methods,":[11],"it":[13],"is":[14,66,72,127,138,147,156],"difficult":[15],"to":[16,35,78,133,140,151],"achieve":[17],"the":[18,69,96,120,135,143,161,171,176,199,214],"global":[19],"optimal":[20],"solution.":[21],"Therefore,":[22],"this":[23],"paper":[24],"introduces":[25],"genetic":[26],"algorithm":[27,210],"(GA)":[28],"combines":[30],"with":[31],"numerical":[32,63],"simulation":[33,64],"technology":[34],"optimize":[36],"parameters,":[39],"including":[40],"well":[43],"location,":[44],"agent":[47,166,188],"type":[48],"dosage.":[50],"By":[51],"constructing":[52],"seepage":[54],"equation":[55],"mass":[57],"conservation":[58],"equation,":[59],"a":[60,157,220],"high-resolution":[61],"model":[65],"established,":[67],"fitness":[70],"function":[71,76],"adjusted":[73],"by":[74,129,149],"penalty":[75],"method":[77],"realize":[79],"multi-objective":[80],"optimization":[81,200,209],"of":[82,123,163,201,230],"maximizing":[83],"oil":[84,168,191,231],"recovery":[85,121,192],"minimizing":[87],"cost.":[90],"Three":[91],"schemes":[92],"are":[93],"designed":[94],"in":[95],"experiment:":[97],"benchmark":[98],"scheme":[99,107,111,126],"(conventional":[100],"water":[101,136],"injection":[102],"development),":[103],"random":[104],"based":[112,206],"GA":[114,124],"optimization.":[115],"The":[116,195],"results":[117],"show":[118,189],"that":[119,198],"ratio":[122],"optimized":[125],"increased":[128],"10.2":[130],"percentage":[131],"points":[132],"42.7%,":[134],"cut":[137],"reduced":[139,148],"72.3%,":[141],"cost":[146,177],"9.5%":[150],"3.8":[152],"million":[153],"yuan.":[154],"There":[155],"nonlinear":[158],"relationship":[159],"between":[160],"dosage":[162,172],"recovery.":[169],"When":[170],"exceeds":[173],"2500":[174],"tons,":[175],"will":[178],"increase":[179],"significantly,":[180],"while":[181],"nanoparticles":[182],"(type":[183],"C)":[184],"as":[185],"higher":[190],"growth":[193],"potential.":[194],"research":[196],"proves":[197],"parameters":[205],"intelligent":[208],"can":[211],"significantly":[212],"improve":[213],"development":[216,226],"effect":[217],"provide":[219],"new":[221],"technical":[222],"approach":[223],"for":[224],"efficient":[225],"sustainable":[228],"utilization":[229],"fields.":[232]},"counts_by_year":[],"updated_date":"2026-09-23T05:00:35.095934","created_date":"2025-10-24T00:00:00"}