{"id":"https://openalex.org/W7202050286","doi":"https://doi.org/10.2118/234919-ms","title":"Automated Tubing Performance Evaluation: A Batch Sensitivity Workflow for Accelerated Well Concept Design","display_name":"Automated Tubing Performance Evaluation: A Batch Sensitivity Workflow for Accelerated Well Concept Design","publication_year":2026,"publication_date":"2026-08-10","ids":{"openalex":"https://openalex.org/W7202050286","doi":"https://doi.org/10.2118/234919-ms"},"language":"en","primary_location":{"id":"doi:10.2118/234919-ms","doi":"https://doi.org/10.2118/234919-ms","is_oa":false,"landing_page_url":"https://doi.org/10.2118/234919-ms","pdf_url":null,"source":{"id":"https://openalex.org/S4306530696","display_name":"SPE Nigeria Annual International Conference and Exhibition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPE Nigeria Annual International Conference and Exhibition","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5119279230","display_name":"H. O. Iyiegbu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. O. Iyiegbu","raw_affiliation_strings":["Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026277482","display_name":"Erasmus Nnanna","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Nnanna","raw_affiliation_strings":["Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5146168472","display_name":"A. Adeniyi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Adeniyi","raw_affiliation_strings":["Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renaissance Africa Energy Company Limited, Port Harcourt, Rivers, Nigeria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57183689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.5077999830245972,"subfield":{"id":"https://openalex.org/subfields/2103","display_name":"Fuel Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.5077999830245972,"subfield":{"id":"https://openalex.org/subfields/2103","display_name":"Fuel Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.4207000136375427,"subfield":{"id":"https://openalex.org/subfields/2103","display_name":"Fuel Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.04320000112056732,"subfield":{"id":"https://openalex.org/subfields/2103","display_name":"Fuel Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nodal-analysis","display_name":"nodal analysis","score":0.7950000166893005},{"id":"https://openalex.org/keywords/pressure-drawdown","display_name":"pressure drawdown","score":0.8450000286102295},{"id":"https://openalex.org/keywords/production-rate","display_name":"production rate","score":0.7570000290870667},{"id":"https://openalex.org/keywords/oil-and-gas-wells","display_name":"oil and gas wells","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8015000224113464},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620999932289124},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C140824633","wikidata":"https://www.wikidata.org/wiki/Q2808660","display_name":"Workflow management system","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C85135244","wikidata":"https://www.wikidata.org/wiki/Q1799487","display_name":"Laboratory automation","level":3,"score":0.32899999618530273},{"id":"https://openalex.org/C2777560178","wikidata":"https://www.wikidata.org/wiki/Q587682","display_name":"Oil well","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C19612761","wikidata":"https://www.wikidata.org/wiki/Q8034836","display_name":"Workflow technology","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2847000062465668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28360000252723694},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C176553487","wikidata":"https://www.wikidata.org/wiki/Q7855819","display_name":"Turnaround time","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2118/234919-ms","doi":"https://doi.org/10.2118/234919-ms","is_oa":false,"landing_page_url":"https://doi.org/10.2118/234919-ms","pdf_url":null,"source":{"id":"https://openalex.org/S4306530696","display_name":"SPE Nigeria Annual International Conference and Exhibition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPE Nigeria Annual International Conference and Exhibition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4324029504","https://openalex.org/W4401679500","https://openalex.org/W4406947156"],"related_works":["https://openalex.org/W4392185418","https://openalex.org/W4408586947","https://openalex.org/W4394889720","https://openalex.org/W4242181322","https://openalex.org/W4309918239","https://openalex.org/W2950484392","https://openalex.org/W7148362204","https://openalex.org/W4404686197","https://openalex.org/W4307662895","https://openalex.org/W7204144628"],"abstract_inverted_index":{"Abstract":[0],"Tubing":[1],"performance":[2,120],"evaluation":[3,81],"is":[4,93,326],"a":[5,59,87,160,310],"critical":[6],"component":[7],"of":[8,82,110,245,258,305],"well":[9,14,38,178,207,247,321],"concept":[10,66,179],"design,":[11],"directly":[12],"influencing":[13],"deliverability,":[15],"rate":[16],"forecasting,":[17],"and":[18,39,48,103,108,117,127,133,136,170,181,188,192,205,249,269,271,294,319,332,336],"equipment":[19],"selection.":[20],"Traditional":[21],"workflows":[22,335],"rely":[23],"on":[24],"multiple":[25,83],"manual":[26,291],"PROSPER":[27,111],"simulations":[28],"per":[29,37,226],"tubing":[30,61,74,84,150,201,227,282],"size,":[31],"typically":[32],"requiring":[33],"significant":[34],"engineering":[35,313,334],"time":[36,213,225],"introducing":[40],"risks":[41],"associated":[42],"with":[43,100,223],"inconsistent":[44],"inputs,":[45],"human":[46],"error,":[47],"subjective":[49],"interpretation.":[50],"These":[51],"limitations":[52],"restrict":[53],"the":[54,105,185,278],"ability":[55],"to":[56,218,234,254,329],"efficiently":[57],"explore":[58],"broad":[60],"design":[62,138,180,322],"space":[63],"during":[64,177],"early":[65],"maturation.":[67],"This":[68,242],"paper":[69],"presents":[70],"an":[71,142],"automated":[72],"batch":[73],"sensitivity":[75,163],"workflow":[76,92,174,279],"that":[77,165],"enables":[78],"rapid,":[79],"standardized":[80],"scenarios":[85],"within":[86],"single":[88],"execution":[89,224],"sequence.":[90],"The":[91,152,173,299,324],"implemented":[94],"using":[95],"Microsoft":[96],"Scripting":[97],"Runtime":[98],"integrated":[99],"PETEX":[101],"OpenServer":[102],"automates":[104],"generation,":[106],"execution,":[107],"post-processing":[109],"models.":[112],"Built-in":[113],"logic":[114],"computes,":[115],"extracts":[116],"visualizes":[118],"key":[119],"metrics,":[121],"including":[122],"production":[123,250,312],"rate,":[124],"pressure":[125],"drawdown,":[126],"erosional":[128],"velocity,":[129],"while":[130,260],"enforcing":[131],"boundary":[132],"convergence":[134],"checks":[135],"corporate":[137],"standards,":[139],"augmented":[140],"by":[141,285],"innovative":[143],"Drawdown-Constrained":[144],"Choke":[145],"Optimizer":[146],"(DCCO)":[147],"for":[148,184],"drawdown-compliant":[149],"evaluation.":[151],"approach":[153,325],"extends":[154],"conventional":[155],"single-case":[156],"nodal":[157,306,331],"analysis":[158,212,307],"into":[159],"systematic,":[161],"repeatable":[162],"framework":[164],"improves":[166],"both":[167],"decision":[168],"quality":[169],"technical":[171],"assurance.":[172],"was":[175],"applied":[176],"potential":[182,251],"estimation":[183],"Delta":[186,189],"A":[187],"B":[190],"oil":[191,204],"gas":[193,206],"developments,":[194],"where":[195],"sensitivities":[196],"were":[197],"evaluated":[198],"across":[199,264,340],"27":[200],"strings":[202],"spanning":[203],"designs.":[208],"Automation":[209],"reduced":[210,229],"total":[211],"from":[214,230],"approximately":[215,235],"nine":[216],"hours":[217],"less":[219],"than":[220],"one":[221,255],"hour,":[222],"case":[228],"about":[231],"20":[232],"minutes":[233,237],"2":[236],"representing":[238],"\u223c":[239],"90%-time":[240],"improvement.":[241],"enabled":[243],"delivery":[244],"validated":[246],"concepts":[248],"estimates":[252],"up":[253],"week":[256],"ahead":[257],"schedule":[259],"ensuring":[261],"methodological":[262],"consistency":[263],"Integrated":[265],"Reservoir":[266],"Modeling,":[267],"Growth":[268],"Portfolio,":[270],"Asset":[272],"Development":[273],"teams.":[274],"Beyond":[275],"cycle-time":[276],"reduction,":[277],"materially":[280],"improved":[281],"selection":[283],"decisions":[284],"enabling":[286],"broader":[287],"scenario":[288],"coverage,":[289],"eliminating":[290],"handling":[292],"errors,":[293],"providing":[295],"transparent,":[296],"auditable":[297],"results.":[298],"methodology":[300],"demonstrates":[301],"how":[302],"targeted":[303],"automation":[304],"can":[308],"transform":[309],"core":[311],"task,":[314],"delivering":[315],"faster,":[316],"more":[317],"consistent,":[318],"higher-confidence":[320],"decisions.":[323],"readily":[327],"transferable":[328],"other":[330],"sensitivity-based":[333],"supports":[337],"scalable":[338],"deployment":[339],"asset":[341],"portfolios.":[342]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-10T00:00:00"}