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dc.creatorAl-yami, Abdullah Saleh Hussain
dc.creatorSchubert, Jerome
dc.date.accessioned2019-06-17T17:10:11Z
dc.date.available2019-06-17T17:10:11Z
dc.date.issued2015-09-22
dc.identifier.urihttps://hdl.handle.net/1969.1/177120
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.languageeng
dc.publisherUnited States. Patent and Trademark Office
dc.rightsPublic Domain (No copyright - United States)en
dc.rights.urihttp://rightsstatements.org/vocab/NoC-US/1.0/
dc.titleSystems and methods for expert systems for well completion using Bayesian decision models (BDNs), drilling fluids types, and well typesen
dc.typeUtility patenten
dc.format.digitalOriginreformatted digitalen
dc.description.countryUS
dc.contributor.assigneeSaudi Arabian Oil Company
dc.contributor.assigneeThe Texas A&M University System
dc.identifier.patentapplicationnumber13/827581
dc.subject.uspcprimary1/1
dc.date.filed2013-03-14
dc.publisher.digitalTexas A&M University. Libraries
dc.subject.cpcprimaryE21B 44/00
dc.subject.cpcprimaryG06N 7/005


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