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SYSTEMS AND METHODS FOR EXPERT SYSTEMS FOR UNDERBALANCED DRILLING OPERATIONS USING BAYESIAN DECISION NETWORKS

  • US 20140124265A1
  • Filed: 03/14/2013
  • Published: 05/08/2014
  • Est. Priority Date: 11/02/2012
  • Status: Abandoned Application
First Claim
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1. A system, comprising:

  • one or more processors;

    a non-transitory tangible computer-readable memory, the memory comprising;

    an underbalanced drilling expert system executable by the one or more processors and configured to provide one or more underbalanced drilling recommendations based on one or more inputs, the underbalanced drilling expert system comprising an underbalanced drilling Bayesian decision network (BDN) model, the underbalanced drilling BDN model comprising;

    a first section, comprising;

    a formation indicators uncertainty node configured to receive one or more formation indicators from the one or more inputs;

    a formation considerations decision node configured to receive one or more formation considerations from the one or more inputs; and

    a first consequences node dependent on the formation indicators uncertainty node and the formation considerations decision node and configured to output the one or more underbalanced drilling recommendations based on one or more Bayesian probabilities calculated from one or more formation indicators and the one or more formation considerations;

    a second section, comprising;

    a planning phases uncertainty node configured to receive one or more planning phases from the one or more inputs;

    a planning phases recommendations decision node configured to receive one or more planning phases recommendations from the one or more inputs; and

    a second consequences node dependent on the planning phases uncertainty node and the planning phases recommendations decision node and configured to output the one or more underbalanced drilling recommendations based on one or more Bayesian probabilities calculated from one or more planning phases and the one or more planning phases recommendations; and

    a third section, comprising;

    an equipment requirements uncertainty node configured to receive one or more equipment requirements from the one or more inputs;

    an equipment recommendations decision node configured to receive one or more equipment recommendations from the one or more inputs; and

    a third consequences node dependent on the equipment requirements uncertainty node and the equipment recommendations decision node and configured to output the one or more underbalanced drilling recommendations based on one or more Bayesian probabilities calculated from the one or more equipment requirements and the one or more equipment recommendations.

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