{"id":"https://openalex.org/W4399110525","doi":"https://doi.org/10.1109/access.2024.3406917","title":"Self-Supervised Attenuation Method Based on Similarity Comparisons for 3D Seismic Random Noise","display_name":"Self-Supervised Attenuation Method Based on Similarity Comparisons for 3D Seismic Random Noise","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399110525","doi":"https://doi.org/10.1109/access.2024.3406917"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3406917","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3406917","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10540438.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":null,"license_id":null,"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/ielx7/6287639/6514899/10540438.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101610172","display_name":"Jian Gao","orcid":"https://orcid.org/0000-0002-5728-904X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Gao","raw_affiliation_strings":["School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012711458","display_name":"Yixuan Gao","orcid":"https://orcid.org/0009-0002-8880-5868"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Gao","raw_affiliation_strings":["School of Biological Science, Qufu Normal University, Qufu, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038199655","display_name":"Wanyue Gao","orcid":"https://orcid.org/0009-0000-7541-242X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyue Gao","raw_affiliation_strings":["Business School, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Business School, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101610172"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0880226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"75289","last_page":"75300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9988999962806702,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9915000200271606,"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/computer-science","display_name":"Computer science","score":0.7732043266296387},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5975030660629272},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5843911170959473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5702570080757141},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5113548636436462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4967361092567444},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48981043696403503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4860716164112091},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.48526594042778015},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47177791595458984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4437124729156494},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15554764866828918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732043266296387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5975030660629272},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5843911170959473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5702570080757141},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5113548636436462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4967361092567444},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48981043696403503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4860716164112091},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.48526594042778015},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47177791595458984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4437124729156494},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15554764866828918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1109/access.2024.3406917","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3406917","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10540438.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7e83dc54a1974a28805baa61b21c84f3","is_oa":true,"landing_page_url":"https://doaj.org/article/7e83dc54a1974a28805baa61b21c84f3","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 75289-75300 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3406917","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3406917","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10540438.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399110525.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1547477044","https://openalex.org/W1971095230","https://openalex.org/W1990309165","https://openalex.org/W2083532064","https://openalex.org/W2141953966","https://openalex.org/W2177432006","https://openalex.org/W2463531433","https://openalex.org/W2518468762","https://openalex.org/W2531893391","https://openalex.org/W2744000381","https://openalex.org/W2761410210","https://openalex.org/W2899651173","https://openalex.org/W2935949282","https://openalex.org/W3011349570","https://openalex.org/W3022413839","https://openalex.org/W3102755745","https://openalex.org/W3125135420","https://openalex.org/W3131297087","https://openalex.org/W3135474902","https://openalex.org/W3191407405","https://openalex.org/W3212804306","https://openalex.org/W4200120832","https://openalex.org/W4205599898","https://openalex.org/W4281618041","https://openalex.org/W4293298413","https://openalex.org/W4309048297","https://openalex.org/W4366492979","https://openalex.org/W4381466443","https://openalex.org/W4384303954"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W4388819787","https://openalex.org/W4312773500","https://openalex.org/W4297435948"],"abstract_inverted_index":{"The":[0,14],"improvement":[1],"of":[2,6,30,49,116,181],"the":[3,35,47,100,113,133,140,153,157,192,199,206],"signal-to-noise":[4],"ratio":[5],"seismic":[7],"data":[8,32,40,50,102,121,151],"is":[9],"crucial":[10],"for":[11,88,119,136,159],"high-precision":[12],"processing.":[13],"self-supervised":[15,96,167,183,208],"denoising":[16,58],"methods":[17,54,79,87,97,127,168,184],"based":[18],"on":[19,42],"correlation":[20,124],"differences":[21],"are":[22],"gaining":[23],"attention":[24],"due":[25],"to":[26,37,71,83,143,148,162,185,190],"their":[27,171],"low":[28],"cost":[29,108,172,222],"training":[31,39,101,120],"construction":[33,103],"and":[34,187,214],"ability":[36],"build":[38],"directly":[41],"test":[43],"data.":[44,91,177],"However,":[45],"as":[46,203,205],"volume":[48],"processed":[51],"increases,":[52],"these":[53,78,95,126,166,182],"must":[55],"maintain":[56,170],"a":[57,72,220],"effect":[59],"by":[60,98],"adding":[61],"extra":[62],"processings.":[63],"This":[64],"increase":[65],"in":[66,74,152,210],"processing":[67,89,161,175],"times":[68],"can":[69,128,169],"lead":[70],"rise":[73],"total":[75],"cost,":[76],"making":[77],"less":[80],"cost-effective":[81],"compared":[82],"other":[84],"deep":[85],"learning":[86],"large":[90,176],"Therefore,":[92],"we":[93,111],"improved":[94,200],"altering":[99],"process,":[104],"thereby":[105],"retaining":[106],"its":[107],"advantage.":[109,223],"Specifically,":[110],"modified":[112],"selection":[114],"process":[115,149],"zones":[117,131],"used":[118],"construction.":[122],"Through":[123],"analysis,":[125],"obtain":[129],"higher-quality":[130],"from":[132],"original":[134,154],"zone":[135],"training,":[137],"indicating":[138],"that":[139,198],"network":[141],"needs":[142],"be":[144],"trained":[145],"only":[146],"once":[147],"any":[150],"zone.":[155],"Without":[156],"requirement":[158],"additional":[160],"ensure":[163],"noise":[164,213],"attenuation,":[165],"advantage":[173],"when":[174],"We":[178],"applied":[179],"one":[180],"synthetic":[186],"field":[188],"examples":[189],"demonstrate":[191],"enhancement\u2019s":[193],"effectiveness.":[194],"Experimental":[195],"results":[196],"show":[197],"method":[201,209],"performs":[202],"well":[204],"conventional":[207],"suppressing":[211],"random":[212],"constructing":[215],"reflection":[216],"events":[217],"but":[218],"with":[219],"significant":[221]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}