{"id":"https://openalex.org/W4286434150","doi":"https://doi.org/10.3390/make4030033","title":"Data Mining Algorithms for Operating Pressure Forecasting of Crude Oil Distribution Pipelines to Identify Potential Blockages","display_name":"Data Mining Algorithms for Operating Pressure Forecasting of Crude Oil Distribution Pipelines to Identify Potential Blockages","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286434150","doi":"https://doi.org/10.3390/make4030033"},"language":"en","primary_location":{"id":"doi:10.3390/make4030033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make4030033","pdf_url":"https://www.mdpi.com/2504-4990/4/3/33/pdf?version=1658399412","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/4/3/33/pdf?version=1658399412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102724862","display_name":"Agus Santoso","orcid":"https://orcid.org/0000-0002-9131-4317"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Agus Santoso","raw_affiliation_strings":["Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-9131-4317","affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015090952","display_name":"F. Danang Wijaya","orcid":"https://orcid.org/0000-0001-8887-6135"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Fransisco Danang Wijaya","raw_affiliation_strings":["Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017890989","display_name":"Noor Akhmad Setiawan","orcid":"https://orcid.org/0000-0002-5631-1073"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Noor Akhmad Setiawan","raw_affiliation_strings":["Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-5631-1073","affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55281, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082775567","display_name":"Joko Waluyo","orcid":"https://orcid.org/0000-0002-9467-0894"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Joko Waluyo","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55284, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada Yogyakarta, Yogyakarta 55284, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102724862"],"corresponding_institution_ids":["https://openalex.org/I165230279"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1559},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1559},"fwci":0.1862,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.3779436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"4","issue":"3","first_page":"700","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11630","display_name":"Petroleum Processing and Analysis","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11630","display_name":"Petroleum Processing and Analysis","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9616000056266785,"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/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.8464652299880981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5714957118034363},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5336165428161621},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5201623439788818},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4969084560871124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48220908641815186},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.47974860668182373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44142234325408936},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.43760356307029724},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43186450004577637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37793633341789246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3656069040298462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3309955596923828},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.2793170213699341},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2527045011520386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18008655309677124}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.8464652299880981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5714957118034363},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5336165428161621},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5201623439788818},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4969084560871124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48220908641815186},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.47974860668182373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44142234325408936},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.43760356307029724},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43186450004577637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37793633341789246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3656069040298462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3309955596923828},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2793170213699341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2527045011520386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18008655309677124},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/make4030033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make4030033","pdf_url":"https://www.mdpi.com/2504-4990/4/3/33/pdf?version=1658399412","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fff21d7d910842efa1350ec03fb26d2d","is_oa":true,"landing_page_url":"https://doaj.org/article/fff21d7d910842efa1350ec03fb26d2d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 4, Iss 3, Pp 700-714 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-4990/4/3/33/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/make4030033","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction; Volume 4; Issue 3; Pages: 700-714","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/make4030033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make4030033","pdf_url":"https://www.mdpi.com/2504-4990/4/3/33/pdf?version=1658399412","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286434150.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1061165963","https://openalex.org/W1799462384","https://openalex.org/W1992043517","https://openalex.org/W1994606749","https://openalex.org/W2006978217","https://openalex.org/W2017377889","https://openalex.org/W2018134886","https://openalex.org/W2051740165","https://openalex.org/W2051812435","https://openalex.org/W2097954580","https://openalex.org/W2151716874","https://openalex.org/W2165120881","https://openalex.org/W2417560296","https://openalex.org/W2608981487","https://openalex.org/W2770209177","https://openalex.org/W2883454431","https://openalex.org/W2891849696","https://openalex.org/W2954170866","https://openalex.org/W3000134993","https://openalex.org/W3090589597","https://openalex.org/W3120424626","https://openalex.org/W3201960170"],"related_works":["https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W3120843198","https://openalex.org/W2154965898","https://openalex.org/W2036704594","https://openalex.org/W4226315710","https://openalex.org/W3083782034","https://openalex.org/W4287185323","https://openalex.org/W2995801509","https://openalex.org/W2275178414"],"abstract_inverted_index":{"The":[0,89],"implementation":[1],"of":[2,36,40,91,165,188,193,199],"data":[3,112],"mining":[4],"has":[5],"become":[6],"very":[7],"popular":[8],"in":[9,14,24,27,101,161],"many":[10],"fields":[11],"recently,":[12],"including":[13,151],"the":[15,37,49,54,67,81,85,97,162,172,176,180,185,201,212],"petroleum":[16],"industry.":[17],"It":[18],"is":[19,42,63,76,94,197],"widely":[20],"used":[21,64],"to":[22,29,48,65,79,95,206,223],"help":[23],"decision-making":[25],"processes":[26],"order":[28],"minimize":[30],"oil":[31,43,68],"losses":[32],"during":[33,46],"operations.":[34],"One":[35],"major":[38],"causes":[39],"loss":[41],"flow":[44,69],"blockages":[45],"transport":[47],"gathering":[50],"facility,":[51],"known":[52],"as":[53,107,109,119,169],"congeal":[55],"phenomenon.":[56],"To":[57],"overcome":[58],"this":[59,74,92],"situation,":[60],"real-time":[61,104],"surveillance":[62],"monitor":[66],"condition":[70],"inside":[71],"pipes.":[72],"However,":[73],"system":[75,217],"not":[77],"able":[78],"forecast":[80,96],"pipeline":[82],"pressure":[83,98,105,202,213],"on":[84],"next":[86],"several":[87,99,214],"days.":[88],"objective":[90],"study":[93],"days":[100,215],"advance":[102],"using":[103,146],"data,":[106],"well":[108],"external":[110],"factor":[111],"recorded":[113],"by":[114,184],"nearby":[115],"weather":[116],"stations,":[117],"such":[118],"ambient":[120],"temperature":[121],"and":[122,134,141,190],"precipitation.":[123],"Three":[124],"machine":[125],"learning":[126],"algorithms\u2014multi-layer":[127],"perceptron":[128],"(MLP),":[129],"long":[130],"short-term":[131],"memory":[132],"(LSTM),":[133],"nonlinear":[135],"autoregressive":[136],"exogenous":[137],"model":[138],"(NARX)\u2014are":[139],"evaluated":[140,181],"compared":[142],"with":[143,158,167,203],"each":[144],"other":[145],"standard":[147],"regression":[148],"evaluation":[149],"metrics,":[150],"a":[152,156,170],"steady-state":[153],"model.":[154],"As":[155],"result,":[157],"proper":[159],"hyperparameters,":[160],"proposed":[163],"method":[164],"NARX":[166,173],"MLP":[168],"regressor,":[171],"algorithm":[174,196],"showed":[175],"best":[177],"performance":[178],"among":[179],"algorithms,":[182],"indicated":[183],"highest":[186],"values":[187,192],"R2":[189],"lowest":[191],"RMSE.":[194],"This":[195],"capable":[198],"forecasting":[200,211],"high":[204],"correlation":[205],"actual":[207],"field":[208],"data.":[209],"By":[210],"ahead,":[216],"owners":[218],"may":[219],"take":[220],"pre-emptive":[221],"actions":[222],"prevent":[224],"congealing.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
