{"id":"https://openalex.org/W3123932902","doi":"https://doi.org/10.1109/access.2021.3053289","title":"Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences","display_name":"Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123932902","doi":"https://doi.org/10.1109/access.2021.3053289","mag":"3123932902"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3053289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09334396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09334396.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101538075","display_name":"Xueqing Zhou","orcid":"https://orcid.org/0000-0003-3752-4345"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhou Xueqing","raw_affiliation_strings":["Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082738636","display_name":"Zhansong Zhang","orcid":"https://orcid.org/0000-0003-1348-7228"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Zhansong","raw_affiliation_strings":["Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080256631","display_name":"Chaomo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Chaomo","raw_affiliation_strings":["Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101538075"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.4621,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96993059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"19902","last_page":"19915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9987999796867371,"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":0.6666330695152283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022966504096985},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5621595978736877},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5296028852462769},{"id":"https://openalex.org/keywords/logging","display_name":"Logging","score":0.5193544626235962},{"id":"https://openalex.org/keywords/well-logging","display_name":"Well logging","score":0.5191044807434082},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4836041033267975},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4671252369880676},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4458348751068115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4450925588607788},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3823184370994568},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3529859185218811},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3517671823501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33536213636398315},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.22472482919692993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08140882849693298}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6666330695152283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022966504096985},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5621595978736877},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5296028852462769},{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.5193544626235962},{"id":"https://openalex.org/C35817400","wikidata":"https://www.wikidata.org/wiki/Q2383566","display_name":"Well logging","level":2,"score":0.5191044807434082},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4836041033267975},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4671252369880676},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4458348751068115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4450925588607788},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3823184370994568},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3529859185218811},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3517671823501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33536213636398315},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.22472482919692993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08140882849693298},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3053289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09334396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6267f7938bc54180828c4dd353f18afc","is_oa":true,"landing_page_url":"https://doaj.org/article/6267f7938bc54180828c4dd353f18afc","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 19902-19915 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3053289","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053289","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09334396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1761454524","display_name":null,"funder_award_id":"2017ZX05032003-005","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4322543552","display_name":null,"funder_award_id":"41404084","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G4654574078","display_name":null,"funder_award_id":"K2018-11","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7060767183","display_name":null,"funder_award_id":"2017ZX05032003-005","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G7516340341","display_name":null,"funder_award_id":"2017ZX05032","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G7942058996","display_name":null,"funder_award_id":"41404084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324773","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3123932902.pdf","grobid_xml":"https://content.openalex.org/works/W3123932902.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1904365287","https://openalex.org/W1981090047","https://openalex.org/W1988445395","https://openalex.org/W2014707037","https://openalex.org/W2041660661","https://openalex.org/W2041690991","https://openalex.org/W2064675550","https://openalex.org/W2067628429","https://openalex.org/W2069153185","https://openalex.org/W2078792643","https://openalex.org/W2095705004","https://openalex.org/W2112619802","https://openalex.org/W2126574815","https://openalex.org/W2128792693","https://openalex.org/W2131880968","https://openalex.org/W2135287155","https://openalex.org/W2253867091","https://openalex.org/W2348181314","https://openalex.org/W2353387221","https://openalex.org/W2382917817","https://openalex.org/W2390764307","https://openalex.org/W2511731103","https://openalex.org/W2552853657","https://openalex.org/W2582746344","https://openalex.org/W2589085805","https://openalex.org/W2766259095","https://openalex.org/W2807735381","https://openalex.org/W2936504543","https://openalex.org/W2947708197","https://openalex.org/W2963276185","https://openalex.org/W3027387236","https://openalex.org/W4243467536","https://openalex.org/W6640036494","https://openalex.org/W6668013635","https://openalex.org/W6674330103","https://openalex.org/W6678920243","https://openalex.org/W6679351261","https://openalex.org/W6679412116","https://openalex.org/W7002447301"],"related_works":["https://openalex.org/W2365338673","https://openalex.org/W3141837860","https://openalex.org/W2056114932","https://openalex.org/W2378520239","https://openalex.org/W2030923182","https://openalex.org/W2355423019","https://openalex.org/W2388521818","https://openalex.org/W38497042","https://openalex.org/W2385227882","https://openalex.org/W2393030256"],"abstract_inverted_index":{"Reservoir":[0],"classification":[1,69],"is":[2,209,229],"an":[3,57],"important":[4],"component":[5],"of":[6,45,52,79,103,110,191,222,246],"reservoir":[7,11,25,68,129,253],"geological":[8],"modelling":[9],"and":[10,13,55,107,117,142,146,155,170,197,225,249],"evaluation":[12],"identification.":[14],"Using":[15],"a":[16,30,147],"single":[17],"conventional":[18],"logging":[19,34,80,119],"curve":[20,120],"to":[21,166,211],"identify":[22,239],"complex":[23],"heterogeneous":[24,53],"types":[26,245],"has":[27],"always":[28],"been":[29],"difficult":[31],"task":[32],"in":[33,49,86,93,98,115,173,234,243],"interpretation.":[35],"For":[36],"the":[37,43,50,94,101,104,108,118,128,138,156,174,181,188,202,206,212,219,226,240,252],"first":[38],"time,":[39],"this":[40,87,235],"study":[41],"reveals":[42],"advantages":[44],"recurrent":[46,65],"neural":[47,66],"networks":[48],"identification":[51,254],"reservoirs":[54,172],"proposes":[56],"optimal":[58,72,139,157,207],"parameter":[59],"bidirectional":[60],"long":[61],"short-term":[62],"memory":[63],"(Bi-LSTM)":[64],"network":[67,140,149,158],"model":[70,150,163,204],"with":[71,151,187,205],"parameters":[73,159,208],"that":[74,201],"can":[75,125,237],"make":[76],"full":[77],"use":[78],"sequence":[81,111,122],"information.":[82],"The":[83,162,231],"data":[84,105,112],"used":[85,165],"work":[88],"originate":[89],"from":[90],"3":[91],"wells":[92],"BZ":[95,182],"gas":[96,183],"field":[97],"China.":[99],"First,":[100],"rationality":[102],"set":[106],"generation":[109],"were":[113,131,144],"studied":[114],"detail,":[116],"response":[121],"data,":[123],"which":[124],"fully":[126],"characterize":[127],"characteristics,":[130],"obtained.":[132],"Then,":[133],"through":[134],"multiple":[135],"simulation":[136],"experiments,":[137],"structure":[141],"hyperparameters":[143],"determined,":[145],"Bi-LSTM":[148,203],"5":[152,192],"hidden":[153],"layers":[154],"was":[160,164],"established.":[161],"predict":[167],"fractured,":[168],"pore-fracture":[169,223],"fracture-pore":[171],"buried":[175,179],"hill":[176],"metamorphic":[177],"rock":[178],"beneath":[180],"field.":[184],"A":[185],"comparison":[186],"prediction":[189,220],"results":[190],"classic":[193],"machine":[194,214],"learning":[195,215],"methods":[196],"baseline":[198],"models":[199],"shows":[200],"superior":[210],"other":[213],"methods,":[216],"especially":[217],"regarding":[218],"accuracy":[221,228],"reservoirs,":[224],"overall":[227],"92.69%.":[230],"method":[232],"proposed":[233],"paper":[236],"accurately":[238],"strata":[241],"developed":[242],"different":[244],"storage":[247],"space":[248],"significantly":[250],"improves":[251],"accuracy.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}