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dc.creatorAl-yami, Abdullah Saleh Hussain
dc.creatorSchubert, Jerome
dc.date.accessioned2019-06-17T17:10:22Z
dc.date.available2019-06-17T17:10:22Z
dc.date.issued2015-12-01
dc.identifier.urihttps://hdl.handle.net/1969.1/177126
dc.description.abstractSystems and methods are provided for a well control expert system that provides well control recommendations for a drilling system. The well control expert system includes a well control Bayesian decision network (BDN) model that receives inputs and outputs recommendations based on Bayesian probability determinations. The well control BDN model includes a circulation section, a well control practices section, and a troubleshooting 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 an expert system for well control using Bayesian intelligenceen
dc.typeUtility patenten
dc.format.digitalOriginreformatted digitalen
dc.description.countryUS
dc.contributor.assigneeThe Texas A&M University System
dc.contributor.assigneeSaudi Arabian Oil Company
dc.identifier.patentapplicationnumber13/827794
dc.date.filed2013-03-14
dc.publisher.digitalTexas A&M University. Libraries
dc.subject.cpcprimaryG06N 5/048
dc.subject.cpcprimaryE21B 44/00
dc.subject.cpcprimaryE21B 47/1025
dc.subject.cpcprimaryG06N 5/02
dc.subject.cpcprimaryG06N 7/005
dc.subject.cpcprimaryE21B 47/12


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