dc.creator | Al-yami, Abdullah Saleh Hussain | |
dc.creator | Schubert, Jerome | |
dc.date.accessioned | 2019-06-17T17:11:19Z | |
dc.date.available | 2019-06-17T17:11:19Z | |
dc.date.issued | 2016-06-21 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/177156 | |
dc.description.abstract | Systems 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.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 | Expert systems for well completion using Bayesian probabilities, and a packers consequence node dependent on wellbore fluids, hydrocarbon types, completion fluids, packers decision, and treatment fluids nodes | en |
dc.type | Utility patent | en |
dc.format.digitalOrigin | reformatted digital | en |
dc.description.country | US | |
dc.contributor.assignee | Saudi Arabian Oil Company | |
dc.contributor.assignee | The Texas A&M University System | |
dc.identifier.patentapplicationnumber | 14/808849 | |
dc.date.filed | 2015-07-24 | |
dc.publisher.digital | Texas A&M University. Libraries | |
dc.subject.cpcprimary | E21B 44/00 | |
dc.subject.cpcprimary | G06N 5/045 | |
dc.subject.cpcprimary | G06N 7/005 | |