{"id":"https://openalex.org/W2946751191","doi":"https://doi.org/10.1007/978-3-030-22808-8_24","title":"Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study","display_name":"Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946751191","doi":"https://doi.org/10.1007/978-3-030-22808-8_24","mag":"2946751191"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-22808-8_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-22808-8_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.07859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030720229","display_name":"\u041e\u043b\u0435\u0433 \u0412\u0430\u043b\u0435\u0440\u0438\u0435\u0432\u0438\u0447 \u0421\u0443\u0434\u0430\u043a\u043e\u0432","orcid":"https://orcid.org/0000-0003-2677-2300"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Sudakov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia","Skolkovo Institute of Science and Technology  Moscow Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology  Moscow Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018473994","display_name":"Dmitry Koroteev","orcid":"https://orcid.org/0000-0002-5353-5688"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitri Koroteev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia","Skolkovo Institute of Science and Technology  Moscow Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology  Moscow Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030163142","display_name":"Boris Belozerov","orcid":"https://orcid.org/0000-0002-0620-7323"},"institutions":[{"id":"https://openalex.org/I115182109","display_name":"Gazprom (Russia)","ror":"https://ror.org/05tywyy79","country_code":"RU","type":"company","lineage":["https://openalex.org/I115182109"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Boris Belozerov","raw_affiliation_strings":["Gazprom Neft, Science and Technology Center, St. Petersburg, Russia","Gazprom Neft Science and Technology Center, St.-Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gazprom Neft, Science and Technology Center, St. Petersburg, Russia","institution_ids":["https://openalex.org/I115182109"]},{"raw_affiliation_string":"Gazprom Neft Science and Technology Center, St.-Petersburg, Russia","institution_ids":["https://openalex.org/I115182109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088950452","display_name":"Evgeny Burnaev","orcid":"https://orcid.org/0000-0001-8424-0690"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Burnaev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia","Skolkovo Institute of Science and Technology  Moscow Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology  Moscow Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"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":"232","last_page":"241"},"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/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9976000189781189,"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":0.9973999857902527,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7810261249542236},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.7808642387390137},{"id":"https://openalex.org/keywords/reservoir-simulation","display_name":"Reservoir simulation","score":0.7174646854400635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653128862380981},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5834643840789795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4754623770713806},{"id":"https://openalex.org/keywords/reservoir-modeling","display_name":"Reservoir modeling","score":0.459823876619339},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45733222365379333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4501934349536896},{"id":"https://openalex.org/keywords/reservoir-engineering","display_name":"Reservoir engineering","score":0.4486437737941742},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.423372358083725},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.264804482460022},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.20209911465644836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18850859999656677},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1259145736694336}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7810261249542236},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.7808642387390137},{"id":"https://openalex.org/C2778668878","wikidata":"https://www.wikidata.org/wiki/Q6380338","display_name":"Reservoir simulation","level":2,"score":0.7174646854400635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653128862380981},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5834643840789795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4754623770713806},{"id":"https://openalex.org/C14641988","wikidata":"https://www.wikidata.org/wiki/Q7315329","display_name":"Reservoir modeling","level":2,"score":0.459823876619339},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45733222365379333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4501934349536896},{"id":"https://openalex.org/C183250156","wikidata":"https://www.wikidata.org/wiki/Q5916050","display_name":"Reservoir engineering","level":3,"score":0.4486437737941742},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.423372358083725},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.264804482460022},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.20209911465644836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18850859999656677},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1259145736694336},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C548895740","wikidata":"https://www.wikidata.org/wiki/Q22656","display_name":"Petroleum","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-22808-8_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-22808-8_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1905.07859","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.07859","pdf_url":"https://arxiv.org/pdf/1905.07859","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2946751191","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.07859.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.07859","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.07859","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.07859","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.07859","pdf_url":"https://arxiv.org/pdf/1905.07859","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W83991108","https://openalex.org/W613290306","https://openalex.org/W645137215","https://openalex.org/W798233383","https://openalex.org/W1554944419","https://openalex.org/W1927931161","https://openalex.org/W1992967071","https://openalex.org/W2001327781","https://openalex.org/W2007284333","https://openalex.org/W2032898494","https://openalex.org/W2050022106","https://openalex.org/W2067888969","https://openalex.org/W2116442587","https://openalex.org/W2240679776","https://openalex.org/W2467297124","https://openalex.org/W2472581016","https://openalex.org/W2587064241","https://openalex.org/W2597598922","https://openalex.org/W2787894218","https://openalex.org/W2792952603","https://openalex.org/W2911390555","https://openalex.org/W2962719747","https://openalex.org/W2963429358","https://openalex.org/W2963981452","https://openalex.org/W2974287515"],"related_works":["https://openalex.org/W2955371919","https://openalex.org/W2087570443","https://openalex.org/W2002933999","https://openalex.org/W2058032984","https://openalex.org/W2285651088","https://openalex.org/W2114958097","https://openalex.org/W2889160483","https://openalex.org/W2532358517","https://openalex.org/W2373349714","https://openalex.org/W3111814331","https://openalex.org/W2074780275","https://openalex.org/W2165199504","https://openalex.org/W3042197822","https://openalex.org/W1816005634","https://openalex.org/W3093519156","https://openalex.org/W2016883306","https://openalex.org/W1522028480","https://openalex.org/W781962496","https://openalex.org/W3151586888","https://openalex.org/W2163128839"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-05-29T00:00:00"}
