{"id":"https://openalex.org/W4400647029","doi":"https://doi.org/10.1109/tgrs.2024.3428575","title":"Uncertainty Quantification in Predicting Physical Property of Porous Medium With Bayesian Evidential Learning","display_name":"Uncertainty Quantification in Predicting Physical Property of Porous Medium With Bayesian Evidential Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400647029","doi":"https://doi.org/10.1109/tgrs.2024.3428575"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3428575","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3428575","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/A5101799374","display_name":"Zhenzhen Fan","orcid":"https://orcid.org/0000-0002-7371-7681"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Fan","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7371-7681","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020806029","display_name":"Chen Zuo","orcid":"https://orcid.org/0000-0002-0115-1674"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zuo","raw_affiliation_strings":["Department of Big Data Management and Applications, Chang\u2019an University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0115-1674","affiliations":[{"raw_affiliation_string":"Department of Big Data Management and Applications, Chang\u2019an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045525540","display_name":"Chen Guo","orcid":"https://orcid.org/0000-0001-7049-4403"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Guo","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7049-4403","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113180600","display_name":"Zhifang Yang","orcid":null},"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":"Zhifang Yang","raw_affiliation_strings":["Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662036","display_name":"Xinfei Yan","orcid":"https://orcid.org/0000-0001-6961-9408"},"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":"Xinfei Yan","raw_affiliation_strings":["Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China","institution_ids":["https://openalex.org/I4210112595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101509500","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0002-3932-7874"},"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":"Xiaoming Li","raw_affiliation_strings":["Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geophysics and the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China","institution_ids":["https://openalex.org/I4210112595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6336,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64713842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.4163999855518341,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.4163999855518341,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10320","display_name":"Neural Networks and Applications","score":0.39309999346733093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5962529182434082},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.5943571925163269},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5838103294372559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5024535655975342},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3876131474971771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37501463294029236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3129139244556427},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16562041640281677}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5962529182434082},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5943571925163269},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5838103294372559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5024535655975342},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3876131474971771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37501463294029236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3129139244556427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16562041640281677},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3428575","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2024.3428575","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":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2128240013","display_name":null,"funder_award_id":"62301081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2971078588","display_name":null,"funder_award_id":"2022JQ-227","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G4510351596","display_name":"\u88c2\u7f1d\u9875\u5ca9\u7279\u5f81\u53c2\u6570\u63d0\u53d6\u53ca\u5404\u5411\u5f02\u6027\u7b49\u6548\u7535\u53c2\u6570\u9884\u6d4b\u6a21\u578b\u7814\u7a76","funder_award_id":"42074170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7785366768","display_name":null,"funder_award_id":"42374154","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/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1561977030","https://openalex.org/W1943447657","https://openalex.org/W1968766984","https://openalex.org/W1973888660","https://openalex.org/W2019702606","https://openalex.org/W2024557266","https://openalex.org/W2035334832","https://openalex.org/W2042650924","https://openalex.org/W2057274687","https://openalex.org/W2065605725","https://openalex.org/W2148411410","https://openalex.org/W2157151881","https://openalex.org/W2411275094","https://openalex.org/W2474476849","https://openalex.org/W2519996514","https://openalex.org/W2725897202","https://openalex.org/W2729134790","https://openalex.org/W2793510683","https://openalex.org/W2802918352","https://openalex.org/W2892323701","https://openalex.org/W2896537992","https://openalex.org/W2899726877","https://openalex.org/W2947975195","https://openalex.org/W2951970759","https://openalex.org/W2972053215","https://openalex.org/W2982240347","https://openalex.org/W3000574968","https://openalex.org/W3002591214","https://openalex.org/W3006834685","https://openalex.org/W3007835987","https://openalex.org/W3016259505","https://openalex.org/W3025031475","https://openalex.org/W3097419545","https://openalex.org/W3107888415","https://openalex.org/W3126856044","https://openalex.org/W3132781011","https://openalex.org/W3133403425","https://openalex.org/W3138842434","https://openalex.org/W3159364563","https://openalex.org/W3196613635","https://openalex.org/W3196652367","https://openalex.org/W3198955447","https://openalex.org/W3210433598","https://openalex.org/W4205171340","https://openalex.org/W4205428221","https://openalex.org/W4213425248","https://openalex.org/W4280545185","https://openalex.org/W4281773337","https://openalex.org/W4284688362","https://openalex.org/W4296260824","https://openalex.org/W4296691908","https://openalex.org/W4302009531","https://openalex.org/W4321085253","https://openalex.org/W4324325927","https://openalex.org/W4360770794","https://openalex.org/W4377090269","https://openalex.org/W4383960224","https://openalex.org/W4386590703","https://openalex.org/W4388212590","https://openalex.org/W4388441682","https://openalex.org/W4390820887","https://openalex.org/W6784190338"],"related_works":["https://openalex.org/W1991093342","https://openalex.org/W2078622645","https://openalex.org/W2170798819","https://openalex.org/W3127311823","https://openalex.org/W3196464345","https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W3094658433","https://openalex.org/W1986474611"],"abstract_inverted_index":{"The":[0,50,201],"prediction":[1,139],"of":[2,36,52,66,89,106,127,198],"physical":[3,34,53,87,115,163,196,217],"properties":[4,35,88,116,197,218],"for":[5],"porous":[6,37,56,90,180,199],"medium":[7,57,91],"plays":[8],"an":[9,28,73],"essential":[10],"role":[11],"in":[12,46,55,193],"geological":[13,48],"resource":[14],"exploration":[15],"and":[16,41,114,136,178],"subsurface":[17],"exploitation.":[18],"Deterministic":[19],"methods":[20],"based":[21],"on":[22],"computational":[23],"or":[24],"numerical":[25],"experiment":[26,202],"provide":[27],"efficient":[29],"way":[30],"to":[31,81,102,145,160],"estimate":[32],"the":[33,47,83,93,111,121,162,168,184,187,195,206,211],"medium.":[38,200],"However,":[39],"uncertainty":[40,84,151,212],"randomness":[42],"are":[43,117],"common":[44],"characteristics":[45,113],"system.":[49],"variability":[51],"property":[54,164],"cannot":[58],"be":[59],"explicitly":[60],"explained":[61],"by":[62,171],"a":[63,99,104,125,154],"limited":[64],"number":[65,105],"models.":[67,109],"In":[68],"this":[69],"article,":[70],"we":[71,97],"propose":[72],"interval":[74,140,148],"estimator-based":[75],"Bayesian":[76],"evidential":[77],"learning":[78,129],"(IE-BEL)":[79],"framework":[80,189],"quantify":[82],"while":[85],"predicting":[86,194],"at":[92],"same":[94],"time.":[95],"First,":[96],"utilize":[98],"stochastic":[100],"simulation":[101],"generate":[103],"high-quality":[107],"3-D":[108],"Second,":[110],"morphological":[112],"numerically":[118],"computed":[119],"as":[120],"training":[122],"data.":[123],"Third,":[124],"combination":[126],"machine":[128],"techniques,":[130],"including":[131,175],"eXtreme":[132],"gradient":[133],"boosting":[134],"(XGBoost)":[135],"model":[137,155],"agnostic":[138],"estimator":[141],"(MAPIE),":[142],"is":[143,158],"employed":[144],"obtain":[146],"reliable":[147],"predictions":[149],"with":[150,183,216],"quantification.":[152],"Fourth,":[153],"calibration":[156],"process":[157],"conducted":[159],"regulate":[161],"predictions.":[165],"We":[166],"validate":[167],"proposed":[169,207],"method":[170,208],"three":[172],"practical":[173],"examples,":[174],"both":[176],"artificial":[177],"natural":[179],"materials.":[181],"Compared":[182],"previous":[185],"method,":[186],"IE-BEL":[188],"shows":[190],"competitive":[191],"performance":[192],"result":[203],"indicates":[204],"that":[205],"can":[209],"address":[210],"quantification":[213],"problem":[214],"associated":[215],"prediction.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
