{"id":"https://openalex.org/W4200128423","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000983","title":"Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison","display_name":"Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison","publication_year":2021,"publication_date":"2021-12-21","ids":{"openalex":"https://openalex.org/W4200128423","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000983"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000983","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000983","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5026570208","display_name":"Jianwei Tian","orcid":"https://orcid.org/0000-0003-4547-6101"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. W. Tian","raw_affiliation_strings":["School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037364559","display_name":"Chongchong Qi","orcid":"https://orcid.org/0000-0001-5189-1614"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongchong Qi","raw_affiliation_strings":["Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China. ORCID:","Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China. ORCID: https://orcid.org/0000-0001-5189-1614"],"raw_orcid":"https://orcid.org/0000-0001-5189-1614","affiliations":[{"raw_affiliation_string":"Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China. ORCID:","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China. ORCID: https://orcid.org/0000-0001-5189-1614","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460932","display_name":"Kang Peng","orcid":"https://orcid.org/0000-0002-1405-3272"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Peng","raw_affiliation_strings":["Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, School of Resources and Safety Engineering, Central South Univ., Changsha 410083, China (corresponding author)","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080686229","display_name":"Yingfeng Sun","orcid":"https://orcid.org/0000-0001-8446-8150"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Sun","raw_affiliation_strings":["School of Civil and Resource Engineering, Univ. of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil and Resource Engineering, Univ. of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037953109","display_name":"Zaher Mundher Yaseen\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c","orcid":"https://orcid.org/0000-0003-3647-7137"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Zaher Mundher Yaseen","raw_affiliation_strings":["Sustainable Developments in Civil Engineering Research Group, Faculty of Civil engineering, Ton Duc Thang Univ., Ho Chi Minh City 700000, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sustainable Developments in Civil Engineering Research Group, Faculty of Civil engineering, Ton Duc Thang Univ., Ho Chi Minh City 700000, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101460932"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":2.7764,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.89884876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"36","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9997000098228455,"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/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9997000098228455,"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9994000196456909,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6549209952354431},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6052404642105103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5973954796791077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5858860015869141},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5480809211730957},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5299932360649109},{"id":"https://openalex.org/keywords/petrophysics","display_name":"Petrophysics","score":0.5077970623970032},{"id":"https://openalex.org/keywords/permeability","display_name":"Permeability (electromagnetism)","score":0.4958675801753998},{"id":"https://openalex.org/keywords/tortuosity","display_name":"Tortuosity","score":0.45554959774017334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44408702850341797},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4364057779312134},{"id":"https://openalex.org/keywords/porous-medium","display_name":"Porous medium","score":0.4107230603694916},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.31141626834869385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26993149518966675},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.1439283788204193},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10827291011810303}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6549209952354431},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6052404642105103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5973954796791077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5858860015869141},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5480809211730957},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5299932360649109},{"id":"https://openalex.org/C46293882","wikidata":"https://www.wikidata.org/wiki/Q2080707","display_name":"Petrophysics","level":3,"score":0.5077970623970032},{"id":"https://openalex.org/C120882062","wikidata":"https://www.wikidata.org/wiki/Q28352","display_name":"Permeability (electromagnetism)","level":3,"score":0.4958675801753998},{"id":"https://openalex.org/C185250623","wikidata":"https://www.wikidata.org/wiki/Q2301683","display_name":"Tortuosity","level":3,"score":0.45554959774017334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44408702850341797},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4364057779312134},{"id":"https://openalex.org/C105569014","wikidata":"https://www.wikidata.org/wiki/Q3271208","display_name":"Porous medium","level":3,"score":0.4107230603694916},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.31141626834869385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26993149518966675},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.1439283788204193},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10827291011810303},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000983","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000983","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W128740895","https://openalex.org/W429766147","https://openalex.org/W1480376833","https://openalex.org/W1881455895","https://openalex.org/W1975222998","https://openalex.org/W2002888072","https://openalex.org/W2005919141","https://openalex.org/W2026632831","https://openalex.org/W2034732093","https://openalex.org/W2039056822","https://openalex.org/W2051904589","https://openalex.org/W2056303113","https://openalex.org/W2059970198","https://openalex.org/W2060527751","https://openalex.org/W2077976078","https://openalex.org/W2090131348","https://openalex.org/W2093281286","https://openalex.org/W2101234009","https://openalex.org/W2128908398","https://openalex.org/W2144680464","https://openalex.org/W2148603752","https://openalex.org/W2156520789","https://openalex.org/W2156909104","https://openalex.org/W2165960883","https://openalex.org/W2196120201","https://openalex.org/W2217856350","https://openalex.org/W2223110200","https://openalex.org/W2288849852","https://openalex.org/W2290822253","https://openalex.org/W2314490592","https://openalex.org/W2342899995","https://openalex.org/W2443678480","https://openalex.org/W2460771524","https://openalex.org/W2461634199","https://openalex.org/W2468051094","https://openalex.org/W2491515892","https://openalex.org/W2515352124","https://openalex.org/W2551032648","https://openalex.org/W2558577979","https://openalex.org/W2562464181","https://openalex.org/W2599913871","https://openalex.org/W2617735598","https://openalex.org/W2618377700","https://openalex.org/W2744211947","https://openalex.org/W2748089506","https://openalex.org/W2757632349","https://openalex.org/W2767363635","https://openalex.org/W2768272593","https://openalex.org/W2768705432","https://openalex.org/W2771662131","https://openalex.org/W2791328889","https://openalex.org/W2791884343","https://openalex.org/W2802741293","https://openalex.org/W2809197210","https://openalex.org/W2883545228","https://openalex.org/W2885713091","https://openalex.org/W2887954707","https://openalex.org/W2888296885","https://openalex.org/W2888331556","https://openalex.org/W2890733150","https://openalex.org/W2892329748","https://openalex.org/W2897511321","https://openalex.org/W2905886643","https://openalex.org/W2907479996","https://openalex.org/W2908848055","https://openalex.org/W2910556901","https://openalex.org/W2913309878","https://openalex.org/W2914460075","https://openalex.org/W2923222994","https://openalex.org/W2936058972","https://openalex.org/W2947337964","https://openalex.org/W2948715762","https://openalex.org/W2964067042","https://openalex.org/W2965113099","https://openalex.org/W2972053215","https://openalex.org/W2972460946","https://openalex.org/W2973081567","https://openalex.org/W2975868522","https://openalex.org/W2981835090","https://openalex.org/W2983149029","https://openalex.org/W2989918005","https://openalex.org/W2999339312","https://openalex.org/W2999905431","https://openalex.org/W3002584755","https://openalex.org/W3007712689","https://openalex.org/W3014032663","https://openalex.org/W3103992808","https://openalex.org/W3120745699","https://openalex.org/W4239510810","https://openalex.org/W4239695701","https://openalex.org/W4296396156","https://openalex.org/W6621207477","https://openalex.org/W6648044413","https://openalex.org/W6674582357","https://openalex.org/W6675354045","https://openalex.org/W6788702223","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W3101152546","https://openalex.org/W2015139878","https://openalex.org/W4242461735","https://openalex.org/W2497324722","https://openalex.org/W4200526323","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"Permeability":[0],"of":[1,7,21,35,54,71,77,207,257],"subsurface":[2,72,258],"porous":[3,16,73,81,259,265],"media":[4,260],"is":[5,24,64],"one":[6],"the":[8,46,68,78,88,113,118,181,186,194,198,205,226,234,239,268,282],"primary":[9],"factors":[10],"that":[11,168,179],"affect":[12],"fluid":[13],"transport":[14],"in":[15,229,242],"rock.":[17],"However,":[18],"accurate":[19],"prediction":[20,70],"rock":[22,56],"permeability":[23,69,76,114,256,284],"a":[25,52,144,190,250],"challenging":[26],"task":[27],"due":[28],"to":[29,42,66,275],"its":[30],"intricate":[31],"pore":[32,47,103],"network.":[33,48],"Development":[34],"digital":[36,55],"rocks":[37],"provides":[38,249],"an":[39],"effective":[40],"approach":[41,254],"reveal":[43],"and":[44,58,105,122,138,164,201,213,232,252,285],"characterize":[45],"In":[49,245],"this":[50,247],"paper,":[51],"combination":[53],"petrophysics":[57],"ensemble":[59],"machine":[60],"learning":[61],"(ML)":[62],"models":[63],"proposed":[65,269],"improve":[67,117],"media.":[74],"The":[75,93,176],"numerically":[79,263],"generated":[80,264],"samples":[82],"as":[83,110],"outputs":[84],"was":[85,146],"determined":[86],"by":[87,171],"lattice":[89],"Boltzmann":[90],"method":[91,237],"(LBM).":[92],"five":[94],"most":[95],"important":[96],"parameters":[97],"(porosity,":[98],"tortuosity,":[99],"fractal":[100],"dimension,":[101],"average":[102],"diameter,":[104],"coordination":[106],"number)":[107],"were":[108,126,141,169],"selected":[109],"inputs":[111],"for":[112,280],"prediction.":[115],"To":[116],"accuracy,":[119],"feature":[120,129,182,211],"selection":[121,130,183],"ML":[123,150,216,236],"methods":[124,131,151],"comparisons":[125],"conducted.":[127],"Three":[128],"based":[132,184,196,261],"on":[133,148,185,197,210,215,262],"expert":[134,187,208],"knowledge,":[135],"correlation":[136,199],"coefficient,":[137],"importance":[139,202,206],"score":[140],"compared.":[142],"Moreover,":[143,267],"comparison":[145],"performed":[147],"six":[149],"(support":[152],"vector":[153],"machine,":[154,163],"artificial":[155,219],"neural":[156,220],"network,":[157],"decision":[158],"tree,":[159],"random":[160],"forest,":[161],"gradient-boosting":[162],"Bayesian":[165],"ridge":[166],"regression)":[167],"optimized":[170,235],"particle":[172],"swarm":[173],"optimization":[174],"(PSO).":[175],"results":[177],"indicated":[178],"(1)":[180],"knowledge":[188,209],"obtained":[189],"higher":[191],"performance":[192,228],"than":[193],"groups":[195],"coefficient":[200],"score,":[203],"implying":[204],"selection,":[212],"thus":[214],"performance;":[217],"(2)":[218],"network":[221],"with":[222],"hyperparameter":[223],"tuning":[224],"achieved":[225],"best":[227],"predicting":[230,243,255],"permeability;":[231],"(3)":[233],"outperformed":[238],"empirical":[240],"equations":[241],"permeability.":[244],"conclusion,":[246],"study":[248],"fast":[251],"reliable":[253],"images.":[266],"framework":[270],"can":[271],"be":[272],"further":[273],"extended":[274],"determine":[276],"other":[277],"petrophysical":[278],"properties,":[279],"example,":[281],"relative":[283],"thermal":[286],"conductivity.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}