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dc.contributor.authorErazo-Bone, Romel
dc.contributor.authorErazo-Bone, Romel
dc.contributor.authorEscobar-Segovia, Kenny
dc.contributor.authorEscobar-Segovia, Kenny
dc.contributor.authorArcentales-Bastidas, Danilo
dc.contributor.authorArreaga-Arevalo, Álvaro
dc.contributor.authorRoman-Aguilar, Adriana
dc.contributor.authorVargas-Gutiérrez, Xavier
dc.date.accessioned2019-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:04:43Z
dc.date.available2019-08-17T03:07:59Z
dc.date.available2022-02-22T12:04:43Z
dc.date.issued2019-07
dc.identifier.isbn978-958-52071-4-1
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2019-MontegoBay/meta/FP78.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2019.1.1.78
dc.identifier.urihttp://axces.info/handle/10.18687/20190101_78
dc.description.abstractIn drilling wells of two sections with low angle in Tiputini Field-Block 43, have been implemented several hole cleaning practices, handling of different drilling parameters and drilling fluid properties in order to get an optimal hole cleaning. This study pretends to determinate and propose the operational ranges of each parameter involved in drilling and hole cleaning through a statistic analysis using the main variables that participate during the drilling and cuttings transport in intermediate section of 12¼” in the next wells with similar characteristic. For the variable selection that will use in the statistic study, it was considered three operational aspects: drilling, drilling fluid and hole cleaning. By means of statistic analysis was determined a regression model that fits the data and describe its behaviour. In addition, it was made comparative graphs with each variable, determining the effect of drilling time in each formation. It was statistically determined that the drilling parameters that have the greatest influence in hole cleaning are the gallonage and ROP which will help to optimize the drilling operation of new wells.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI, Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectDrilling wellsen_US
dc.subjectLow angleen_US
dc.subjectSstatistic analysisen_US
dc.subjectRegression modelen_US
dc.subjectHole cleaningen_US
dc.subjectGallonageen_US
dc.titleOptimization Of The Drilling Parameters In Low Angle Wells By The Application Of Statistical Analysis
dc.typeArticleen_US
dc.description.countryEcuadoren
dc.description.institutionEscuela Superior Politécnica del Litoralen
dc.description.trackEnergy, Water and Sustainable Engineeringen
dc.journal.referatopeerReview


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