Expert systems for well completion using bayesian decision networks including a fluids damage and temperature effects uncertainty node, a perforation considerations uncertainty node, a perforation analysis uncertainty node, and a perforation type decision node

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:
an underbalanced (UB) perforation utility uncertainty node configured to receive one or more UB perforation utilities from the one or more inputs;a fluids damage and temperature effects uncertainty node dependent on the UB perforation utility uncertainty node and configured to receive one or more fluid damages, temperature effects, or a combination thereof from the one or more inputs;a perforation considerations uncertainty node dependent on the fluids damage and temperature effects uncertainty node and configured to receive one or more perforation considerations from the one or more inputs;a perforation analysis uncertainty node dependent on the perforation considerations uncertainty node and configured to receive one or more perforation analyses from the one or more inputs;a perforation type uncertainty node configured to receive one or more perforation types from the one or more inputs;a completion type decision node configured to receive one or more completion types from the one or more inputs; anda perforation consequences node dependent on the perforation analysis uncertainty node, the perforation type decision node, and the completion type 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 perforation analyses, the one or more perforation types, and the one or more completion types.