dc.creator | Al-yami, Abdullah Saleh Hussain | |
dc.creator | Schubert, Jerome | |
dc.date.accessioned | 2019-06-17T17:10:22Z | |
dc.date.available | 2019-06-17T17:10:22Z | |
dc.date.issued | 2015-12-01 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/177126 | |
dc.description.abstract | Systems 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.language | eng | |
dc.publisher | United States. Patent and Trademark Office | |
dc.rights | Public Domain (No copyright - United States) | en |
dc.rights.uri | http://rightsstatements.org/vocab/NoC-US/1.0/ | |
dc.title | Systems and methods for an expert system for well control using Bayesian intelligence | en |
dc.type | Utility patent | en |
dc.format.digitalOrigin | reformatted digital | en |
dc.description.country | US | |
dc.contributor.assignee | The Texas A&M University System | |
dc.contributor.assignee | Saudi Arabian Oil Company | |
dc.identifier.patentapplicationnumber | 13/827794 | |
dc.date.filed | 2013-03-14 | |
dc.publisher.digital | Texas A&M University. Libraries | |
dc.subject.cpcprimary | G06N 5/048 | |
dc.subject.cpcprimary | E21B 44/00 | |
dc.subject.cpcprimary | E21B 47/1025 | |
dc.subject.cpcprimary | G06N 5/02 | |
dc.subject.cpcprimary | G06N 7/005 | |
dc.subject.cpcprimary | E21B 47/12 | |