{"id":"https://openalex.org/W4384916057","doi":"https://doi.org/10.1109/tgrs.2023.3296934","title":"ASHFormer: Axial and Sliding Window-Based Attention With High-Resolution Transformer for Automatic Stratigraphic Correlation","display_name":"ASHFormer: Axial and Sliding Window-Based Attention With High-Resolution Transformer for Automatic Stratigraphic Correlation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384916057","doi":"https://doi.org/10.1109/tgrs.2023.3296934"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3296934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3296934","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5000850153","display_name":"Naihao Liu","orcid":"https://orcid.org/0000-0002-2609-7408"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Naihao Liu","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2609-7408","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056980539","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-6817-3368"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Li","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103087535","display_name":"Rongchang Liu","orcid":"https://orcid.org/0000-0002-6053-4157"},"institutions":[{"id":"https://openalex.org/I4210112595","display_name":"Research Institute of Petroleum Exploration and Development","ror":"https://ror.org/02awe6g05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112595","https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongchang Liu","raw_affiliation_strings":["PetroChina Research Institute of Petroleum Exploration and Development (RIPED), CNPC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetroChina Research Institute of Petroleum Exploration and Development (RIPED), CNPC, Beijing, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789836","display_name":"Haidong Zhang","orcid":"https://orcid.org/0000-0001-7411-8042"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Zhang","raw_affiliation_strings":["Huawei Technology Company Ltd., Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology Company Ltd., Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077552109","display_name":"Jinghuai Gao","orcid":"https://orcid.org/0000-0002-0448-8555"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghuai Gao","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0448-8555","affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101815143","display_name":"Tao Wei","orcid":"https://orcid.org/0009-0008-5755-7455"},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wei","raw_affiliation_strings":["Research Institute of Exploration and Development, Yumen Oilfield Company, CNPC, Jiuquan, China","Research Institute of Exploration and Development, Yumen Oilfield Company, CNPC, Jiuquan, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Exploration and Development, Yumen Oilfield Company, CNPC, Jiuquan, China","institution_ids":["https://openalex.org/I98227222"]},{"raw_affiliation_string":"Research Institute of Exploration and Development, Yumen Oilfield Company, CNPC, Jiuquan, Gansu, China","institution_ids":["https://openalex.org/I98227222"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079767760","display_name":"Jianlou Si","orcid":"https://orcid.org/0000-0002-2029-6588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianlou Si","raw_affiliation_strings":["Beijing Sensetime Technology Development Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Sensetime Technology Development Company Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077172624","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0001-9550-4188"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Earth Resources, China University of Geosciences, Wuhan, China","School of Earth Resources, China University of Geosciences, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Resources, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Earth Resources, China University of Geosciences, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5000850153"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":3.0144,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90810623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10635","display_name":"Hydraulic Fracturing and Reservoir Analysis","score":0.996999979019165,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9969000220298767,"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/sliding-window-protocol","display_name":"Sliding window protocol","score":0.8143430948257446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598395705223083},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6187776923179626},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.607552170753479},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6064492464065552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409203171730042},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5112121105194092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4803772568702698},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4250373840332031},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35785216093063354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34997260570526123},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.26866137981414795},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.16051629185676575},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.13875234127044678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10914218425750732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10562101006507874},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10107633471488953}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.8143430948257446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598395705223083},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6187776923179626},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.607552170753479},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6064492464065552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409203171730042},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5112121105194092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4803772568702698},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4250373840332031},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35785216093063354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34997260570526123},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.26866137981414795},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16051629185676575},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.13875234127044678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10914218425750732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10562101006507874},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10107633471488953},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3296934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3296934","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5688388815","display_name":null,"funder_award_id":"42274144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6815587731","display_name":null,"funder_award_id":"2020YFA0713404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7685781024","display_name":null,"funder_award_id":"2020YFA0713400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/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":65,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1982778884","https://openalex.org/W2059386657","https://openalex.org/W2064675550","https://openalex.org/W2106259684","https://openalex.org/W2109317738","https://openalex.org/W2140276038","https://openalex.org/W2155977690","https://openalex.org/W2194775991","https://openalex.org/W2260104911","https://openalex.org/W2565639579","https://openalex.org/W2587746231","https://openalex.org/W2613339710","https://openalex.org/W2896457183","https://openalex.org/W2901691125","https://openalex.org/W2908510526","https://openalex.org/W2911424749","https://openalex.org/W2912913790","https://openalex.org/W2913314773","https://openalex.org/W2916798096","https://openalex.org/W2945277894","https://openalex.org/W2962914239","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2998108143","https://openalex.org/W3034999214","https://openalex.org/W3047855151","https://openalex.org/W3097065222","https://openalex.org/W3109301572","https://openalex.org/W3117351614","https://openalex.org/W3123279136","https://openalex.org/W3133999455","https://openalex.org/W3138516171","https://openalex.org/W3167921710","https://openalex.org/W3168649818","https://openalex.org/W3188111676","https://openalex.org/W3189656673","https://openalex.org/W3198633411","https://openalex.org/W3204932667","https://openalex.org/W3210982033","https://openalex.org/W3211490618","https://openalex.org/W4210940959","https://openalex.org/W4213190624","https://openalex.org/W4225871896","https://openalex.org/W4241924689","https://openalex.org/W4281618041","https://openalex.org/W4287022992","https://openalex.org/W4287704453","https://openalex.org/W4292830003","https://openalex.org/W4293298413","https://openalex.org/W4308887525","https://openalex.org/W4312840455","https://openalex.org/W4312862840","https://openalex.org/W4312950730","https://openalex.org/W4313175642","https://openalex.org/W6639824700","https://openalex.org/W6680700687","https://openalex.org/W6757817989","https://openalex.org/W6758857762","https://openalex.org/W6772853553","https://openalex.org/W6781533629","https://openalex.org/W6797399245","https://openalex.org/W6800217721","https://openalex.org/W6810653034","https://openalex.org/W6848044469"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W4293226380","https://openalex.org/W1605879311","https://openalex.org/W2385763735","https://openalex.org/W2386394344","https://openalex.org/W2382806131","https://openalex.org/W2006683254","https://openalex.org/W2370628457","https://openalex.org/W2611980620","https://openalex.org/W2770255720"],"abstract_inverted_index":{"The":[0,142,163],"stratigraphic":[1,36,108,150,175],"correlation":[2,28,37,109,151,176,184],"of":[3,17,24,69,72,110,118,165],"well":[4,18,25,111,136,169],"logs":[5,19],"is":[6,29,132,177],"crucial":[7],"for":[8,107,168],"characterizing":[9],"subsurface":[10],"reservoirs.":[11],"However,":[12],"due":[13],"to":[14,75,134],"the":[15,21,81,93,166,189],"complexity":[16],"and":[20,31,83,100,127,139,155,161,173],"huge":[22],"amount":[23],"data,":[26],"manual":[27],"time-":[30],"resource-intensive.":[32],"Hence,":[33],"various":[34],"computerized":[35],"methods":[38],"have":[39],"been":[40],"developed,":[41],"especially":[42],"regarding":[43],"convolutional":[44],"neural":[45],"networks":[46],"(CNNs).":[47],"Recently,":[48],"Transformer,":[49],"a":[50,67],"self-attention":[51,103],"system":[52],"that":[53,145],"evolved":[54],"from":[55],"Natural":[56],"Language":[57],"Processing":[58],"(NLP),":[59],"has":[60],"attained":[61],"state-of-the-art":[62],"performance":[63],"over":[64,186],"CNNs":[65],"in":[66,183],"variety":[68],"domains":[70],"because":[71],"its":[73],"ability":[74],"perceive":[76],"global":[77],"features.":[78],"We":[79],"propose":[80],"Axial":[82,99],"Sliding":[84,101],"window":[85,102],"based":[86],"attention":[87],"with":[88,97,188],"High-resolution":[89],"Transformer":[90,158,167],"(ASHFormer),":[91],"combining":[92,159],"High-Resolution":[94],"Network":[95],"(HRNet)":[96],"an":[98],"Block":[104],"(ASBlock)":[105],"intended":[106],"logs.":[112],"ASBlock":[113],"includes":[114],"three":[115],"different":[116],"forms":[117],"Multi-Head":[119],"Self-Attentions":[120],"(MHSA),":[121],"including":[122],"sliding-window":[123],"attention,":[124,126,129],"horizontal-axis":[125],"vertical-axis":[128],"therefore,":[130],"it":[131],"possible":[133],"retrieve":[135],"logs\u2019":[137],"long-range":[138],"local":[140],"information.":[141],"experiments":[143],"show":[144],"ASHFormer":[146],"predicts":[147],"more":[148],"accurate":[149],"results":[152],"than":[153],"HRNet":[154,187],"CMT":[156],"(a":[157],"CNN":[160],"self-attention).":[162],"usefulness":[164],"log":[170],"feature":[171],"extraction":[172],"automatic":[174],"demonstrated":[178],"by":[179],"ASHFormer\u2019s":[180],"9.74%":[181],"improvement":[182],"accuracy":[185],"same":[190],"architecture.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
