SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR WELL COMPLETION USING BAYESIAN DECISION NETWORKS

摘要

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.

主权项

1. A system, comprising:
one or more processors; a non-transitory tangible computer-readable memory, the memory comprising:
a well completion expert system executable by the one or more processors and configured to provide one or more well completion recommendations based on one or more inputs, the well completion expert system comprising a well completion Bayesian decision network (BDN) model, the well completion BDN model comprising:
a multilateral junction design considerations uncertainty node configured to receive multilateral junction design considerations from the one or more inputs;a junction classification decision node configured to receive one or more junction classifications from the one or more inputs; anda junction classification consequences node dependent on the multilateral junction design considerations uncertainty node and the junction classification decision node and configured to output one or more well completion recommendations based on one or more Bayesian probabilities calculated from the one or more multilateral junction design considerations and the one or more junction classifications.