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

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 wellbore fluids uncertainty node configured to receive one or more wellbore fluids from the one or more inputs;a hydrocarbon types uncertainty node configured to receive one or more hydrocarbon types from the one or more inputs;a completion fluids uncertainty node configured to receive one or more completion fluids from the one or more inputs;a packers decision node configured to receive one or more packers from the one or more inputs;a treatment fluids decision node configured to receive one or more treatment fluids from the one or more inputs; anda packers consequences node dependent on the wellbore fluids uncertainty node, the hydrocarbon types uncertainty node, the completion fluids uncertainty node, the packers decision node, and the treatment fluids decision node and configured to output the one or more well completion recommendations based on one or more Bayesian probabilities calculated from the one or more wellbore fluids, the one or more hydrocarbon types, the one or more completion fluids, the one or more packers, and the one or more treatment fluids.