{"id":"https://openalex.org/W4416249518","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229380","title":"Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks","display_name":"Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249518","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229380"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"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/A5113676982","display_name":"Weifeng Chen","orcid":"https://orcid.org/0000-0001-6767-3099"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Chen","raw_affiliation_strings":["National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029556003","display_name":"Xinhai Chen","orcid":"https://orcid.org/0000-0002-2931-4893"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhai Chen","raw_affiliation_strings":["National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001387315","display_name":"Qisong Xiao","orcid":"https://orcid.org/0009-0007-5780-2118"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qisong Xiao","raw_affiliation_strings":["National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109978591","display_name":"Haijian Yang","orcid":"https://orcid.org/0000-0001-7304-1282"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijian Yang","raw_affiliation_strings":["Hunan University,School of Mathematics,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,School of Mathematics,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109402155","display_name":"Jiali Tu","orcid":"https://orcid.org/0009-0009-4106-1452"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Tu","raw_affiliation_strings":["Hunan University,School of Mathematics,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,School of Mathematics,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454146","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-7865-5651"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,Laboratory of Digitizing Software for Frontier Equipment,Changsha,China,410073","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.6678000092506409,"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":0.6678000092506409,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.08229999989271164,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.08160000294446945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6140000224113464},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4941999912261963},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.44339999556541443},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.37279999256134033},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3695000112056732},{"id":"https://openalex.org/keywords/numerical-models","display_name":"Numerical models","score":0.34940001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429999709129333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6140000224113464},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.2671999931335449}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2963157298","https://openalex.org/W2973827652","https://openalex.org/W2974287515","https://openalex.org/W3158866033","https://openalex.org/W3167120821","https://openalex.org/W3183477320","https://openalex.org/W3186618310","https://openalex.org/W3200270204","https://openalex.org/W4200589151","https://openalex.org/W4223434752","https://openalex.org/W4224246016","https://openalex.org/W4281651918","https://openalex.org/W4283213885","https://openalex.org/W4290649025","https://openalex.org/W4293495652","https://openalex.org/W4296219966","https://openalex.org/W4361276562","https://openalex.org/W4377246425","https://openalex.org/W4378078472","https://openalex.org/W4378651275","https://openalex.org/W4380324242","https://openalex.org/W4380877314","https://openalex.org/W4386189349","https://openalex.org/W4386200044","https://openalex.org/W4386936019","https://openalex.org/W4387190400","https://openalex.org/W4388072531","https://openalex.org/W4390479085","https://openalex.org/W4390588308","https://openalex.org/W4391752353","https://openalex.org/W4392173777","https://openalex.org/W4396966996","https://openalex.org/W4398140420","https://openalex.org/W4399146343","https://openalex.org/W4400318894","https://openalex.org/W4402365908","https://openalex.org/W4402674183","https://openalex.org/W4402932144","https://openalex.org/W4404214452","https://openalex.org/W4404299160","https://openalex.org/W4409347079"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"spatio-temporal":[1,59,80,119],"prediction":[2,120],"of":[3,65,82,96,102,121,136],"oil-water":[4,66,83,122],"two-phase":[5,67,84,123],"flow":[6],"under":[7],"heterogeneous":[8,97,109],"reservoir":[9],"conditions":[10],"is":[11],"crucial":[12],"for":[13,61],"optimizing":[14],"oil":[15],"recovery":[16],"strategies.":[17],"Pioneering":[18],"studies":[19],"have":[20],"begun":[21],"to":[22,26,45,75,92,104,151],"explore":[23],"intelligent":[24,37,128],"methods":[25,38,129],"reduce":[27],"the":[28,63,79,94,100],"computational":[29,148],"cost":[30],"in":[31,108,147],"traditional":[32,152],"numerical":[33,153],"simulation.":[34],"However,":[35],"existing":[36,127],"suffer":[39],"from":[40],"error":[41,135],"accumulation":[42],"problems,":[43],"leading":[44],"inaccurate":[46],"evolution":[47,64],"results":[48],"over":[49],"time.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"CASTNet,":[56],"a":[57,132],"novel":[58],"model":[60,70],"predicting":[62],"flow.":[68,85,124],"The":[69],"designs":[71],"an":[72,88],"encoder-decoder":[73],"structure":[74],"capture":[76],"and":[77,117],"simulate":[78],"variations":[81],"We":[86],"design":[87],"attention-enhanced":[89],"ConvLSTM":[90],"module":[91],"strengthen":[93],"identification":[95],"regions,":[98],"tackling":[99],"issue":[101],"failing":[103],"detect":[105],"spatial":[106],"information":[107],"reservoirs.":[110],"Experiments":[111],"demonstrate":[112],"that":[113],"CASTNet":[114],"achieves":[115,143],"accurate":[116],"efficient":[118],"It":[125],"outperforms":[126],"by":[130],"maintaining":[131],"maximum":[133],"absolute":[134],"0.08":[137],"during":[138],"long-term":[139],"simulation,":[140],"while":[141],"it":[142],"one":[144],"order-of-magnitude":[145],"improvement":[146],"efficiency":[149],"compared":[150],"methods.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
