{"id":"https://openalex.org/W4407176312","doi":"https://doi.org/10.3390/sym17020228","title":"Frictional Pressure Loss Prediction in Symmetrical Pipes During Drilling Using Soft Computing Algorithms","display_name":"Frictional Pressure Loss Prediction in Symmetrical Pipes During Drilling Using Soft Computing Algorithms","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407176312","doi":"https://doi.org/10.3390/sym17020228"},"language":"en","primary_location":{"id":"doi:10.3390/sym17020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17020228","pdf_url":"https://www.mdpi.com/2073-8994/17/2/228/pdf?version=1738802515","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/2/228/pdf?version=1738802515","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053185056","display_name":"Okorie Ekwe Agwu","orcid":"https://orcid.org/0000-0003-3855-8352"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Okorie Ekwe Agwu","raw_affiliation_strings":["Center of Reservoir Dynamics (CORED), Institute of Sustainable Energy, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia","Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia"],"affiliations":[{"raw_affiliation_string":"Center of Reservoir Dynamics (CORED), Institute of Sustainable Energy, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084543414","display_name":"Chee Wee Sia","orcid":"https://orcid.org/0009-0001-5337-3180"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sia Chee Wee","raw_affiliation_strings":["Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia"],"affiliations":[{"raw_affiliation_string":"Petroleum Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067907920","display_name":"Moses Gideon Akpabio","orcid":"https://orcid.org/0000-0003-4029-8174"},"institutions":[{"id":"https://openalex.org/I37797678","display_name":"University of Uyo","ror":"https://ror.org/0127mpp72","country_code":"NG","type":"education","lineage":["https://openalex.org/I37797678"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Moses Gideon Akpabio","raw_affiliation_strings":["Department of Petroleum Engineering, University of Uyo, Uyo 52001, Akwa Ibom State, Nigeria"],"affiliations":[{"raw_affiliation_string":"Department of Petroleum Engineering, University of Uyo, Uyo 52001, Akwa Ibom State, Nigeria","institution_ids":["https://openalex.org/I37797678"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053185056"],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03057424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"2","first_page":"228","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9990000128746033,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9990000128746033,"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/T12233","display_name":"Geotechnical Engineering and Underground Structures","score":0.9983000159263611,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9814000129699707,"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/drilling","display_name":"Drilling","score":0.6274355053901672},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.6221011281013489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605909824371338},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5266808271408081},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.33709442615509033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22361046075820923},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.17416006326675415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1455855667591095},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1453341245651245}],"concepts":[{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.6274355053901672},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.6221011281013489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605909824371338},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5266808271408081},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.33709442615509033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22361046075820923},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.17416006326675415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1455855667591095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1453341245651245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17020228","pdf_url":"https://www.mdpi.com/2073-8994/17/2/228/pdf?version=1738802515","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17020228","pdf_url":"https://www.mdpi.com/2073-8994/17/2/228/pdf?version=1738802515","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4302241366","display_name":null,"funder_award_id":"RG2024-1969","funder_id":"https://openalex.org/F4320323380","funder_display_name":"Universiti Teknologi Petronas"}],"funders":[{"id":"https://openalex.org/F4320322528","display_name":"Sexually Transmitted Infection Research Foundation","ror":"https://ror.org/03hw5nc12"},{"id":"https://openalex.org/F4320323380","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407176312.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W612709200","https://openalex.org/W1921435123","https://openalex.org/W1968654938","https://openalex.org/W1982454205","https://openalex.org/W1995650545","https://openalex.org/W2078114787","https://openalex.org/W2088780540","https://openalex.org/W2091431535","https://openalex.org/W2100812215","https://openalex.org/W2102201073","https://openalex.org/W2163130726","https://openalex.org/W2287867824","https://openalex.org/W2331035362","https://openalex.org/W2397349486","https://openalex.org/W2500151196","https://openalex.org/W2580760326","https://openalex.org/W2804714872","https://openalex.org/W2889334797","https://openalex.org/W2915373977","https://openalex.org/W3016082110","https://openalex.org/W3037946026","https://openalex.org/W3155871433","https://openalex.org/W3206720971","https://openalex.org/W3217600002","https://openalex.org/W4210666824","https://openalex.org/W4213288854","https://openalex.org/W4252018096","https://openalex.org/W4360981132","https://openalex.org/W4365506066","https://openalex.org/W4389719383","https://openalex.org/W4392091500","https://openalex.org/W4399585942","https://openalex.org/W6675321329","https://openalex.org/W6861419846"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4377700919","https://openalex.org/W2095509376","https://openalex.org/W2051487156","https://openalex.org/W2533491448","https://openalex.org/W4213425153","https://openalex.org/W2987481998","https://openalex.org/W2073681303"],"abstract_inverted_index":{"One":[0],"of":[1,50,110,139,178,192,202,209,230,250],"the":[2,57,84,89,93,97,111,137,162,171,184,199,203,210,228,240,248,260],"significant":[3],"challenges":[4],"during":[5,46],"wellbore":[6],"drilling":[7,251],"is":[8,83,118],"accurately":[9],"predicting":[10,42],"frictional":[11,43,51,103,255],"pressure":[12,44,52,81,104,256],"losses":[13,45,105],"in":[14,106,259],"symmetrical":[15],"drill":[16],"pipes.":[17],"In":[18],"this":[19,231],"work,":[20],"a":[21,155,175,189,223],"Bayesian":[22],"regularized":[23],"neural":[24],"network":[25],"(BRANN)":[26],"and":[27,38,73,76,92,125,127,132,149,166,220,235],"multivariate":[28],"adaptive":[29],"regression":[30],"splines":[31],"(MARS)":[32],"are":[33,59,170],"employed":[34],"to":[35,100,136,227],"develop":[36],"accurate":[37],"interpretable":[39],"models":[40,58,241],"for":[41,180,247,254],"drilling.":[47],"Utilizing":[48],"data":[49],"loss":[53,82,257],"collected":[54],"through":[55,217],"experimentation,":[56],"created.":[60],"The":[61,108,194,206,233],"model":[62,90],"inputs":[63],"include":[64],"mud":[65,68,185],"flow":[66,186],"rate,":[67,187],"density,":[69],"pipe":[70,168],"diameter":[71],"(inside":[72],"outside":[74],"diameters),":[75],"viscometer":[77],"dial":[78],"readings,":[79],"while":[80],"output.":[85],"Statistical":[86],"comparisons":[87],"between":[88],"predictions":[91],"actual":[94],"values":[95],"demonstrate":[96],"models\u2019":[98],"ability":[99],"reasonably":[101],"forecast":[102],"wells.":[107],"performance":[109],"models,":[112,211],"as":[113,119],"measured":[114],"by":[115,183,239],"error":[116],"metrics,":[117],"follows:":[120],"BRANN":[121],"(0.999,":[122],"0.076,":[123],"16.76,":[124],"11.67)":[126],"MARS":[128],"(0.998,":[129],"0.0989,":[130],"21.32,":[131],"16.499)":[133],"with":[134,174,188,213],"respect":[135],"coefficient":[138],"determination,":[140],"average":[141],"absolute":[142,151],"percentage":[143],"error,":[144,148,152],"root":[145],"mean":[146,150],"square":[147],"respectively.":[153],"Additionally,":[154],"parametric":[156],"importance":[157],"study":[158],"reveals":[159],"that,":[160],"among":[161],"input":[163],"variables,":[164],"internal":[165],"external":[167],"diameters":[169],"top":[172],"predictors,":[173],"relevancy":[176,190],"factor":[177,191],"\u22120.784":[179],"each,":[181],"followed":[182],"0.553.":[193],"trend":[195,218],"analysis":[196,219],"further":[197],"confirms":[198],"physical":[200,215],"validity":[201],"proposed":[204],"models.":[205],"explicit":[207],"nature":[208],"together":[212],"their":[214],"validation":[216],"interpretability":[221],"via":[222],"sensitivity":[224],"analysis,":[225],"adds":[226],"novelty":[229],"study.":[232],"precise":[234],"robust":[236],"estimations":[237,258],"provided":[238],"make":[242],"them":[243],"valuable":[244],"virtual":[245],"tools":[246],"development":[249],"hydraulics":[252],"simulators":[253],"field.":[261]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}