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    Expert systems for well completion using Bayesian probabilities, open hole gravel pack types, gravel pack design details, open hole gravel packs, and completion types

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    Date
    2016-06-28
    Author
    Al-yami, Abdullah Saleh Hussain
    Schubert, Jerome
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    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.
    URI
    https://hdl.handle.net/1969.1/177157
    Subject
    E21B 44/00
    G06N 5/045
    G06N 7/005
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    • Texas A&M University Patents
    Citation
    Al-yami, Abdullah Saleh Hussain; Schubert, Jerome (2016). Expert systems for well completion using Bayesian probabilities, open hole gravel pack types, gravel pack design details, open hole gravel packs, and completion types. United States. Patent and Trademark Office; Texas A&M University. Libraries. Available electronically from https : / /hdl .handle .net /1969 .1 /177157.

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