Expert system for well completion using bayesian probabilities and a consequences node dependent on the zonal isolation types, reliability level, cost level, productivity level, the completion type, and the junction classification decision nodes

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dc.contributor.assigneeSaudi Arabian Oil Company
dc.contributor.assigneeThe Texas A&M University System
dc.creatorAl-yami, Abdullah Saleh Hussain
dc.creatorSchubert, Jerome
dc.date.accessioned2019-06-17T17:11:15Z
dc.date.available2019-06-17T17:11:15Z
dc.date.filed2015-07-24
dc.date.issued2016-06-14
dc.description.abstractSystems and methods are provided for expert systems for well completion using Bayesian decision networks to determine well completion recommendations. The well completion expert system includes a well completion Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well completion BDN model includes a treatment fluids section, a packer section, a junction classification section, a perforation section, a lateral completion section, and an open hole gravel packing section.en
dc.description.countryUS
dc.format.digitalOriginreformatted digitalen
dc.identifier.patentapplicationnumber14/808930
dc.identifier.urihttps://hdl.handle.net/1969.1/177154
dc.languageeng
dc.publisherUnited States. Patent and Trademark Office
dc.publisher.digitalTexas A&M University. Libraries
dc.rightsPublic Domain (No copyright - United States)en
dc.rights.urihttp://rightsstatements.org/vocab/NoC-US/1.0/
dc.subject.cpcprimaryE21B 44/00
dc.subject.cpcprimaryG06N 5/045
dc.subject.cpcprimaryG06N 7/005
dc.titleExpert system for well completion using bayesian probabilities and a consequences node dependent on the zonal isolation types, reliability level, cost level, productivity level, the completion type, and the junction classification decision nodesen
dc.typeUtility patenten

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