Systems and methods for expert systems for underbalanced drilling operations using bayesian decision networks

Abstract

Systems and methods are provided for an underbalanced drilling (UBD) expert system that provides underbalanced drilling recommendations, such as best practices. The UBD expert system may include one or more Bayesian decision network (BDN) model that receive inputs and output recommendations based on Bayesian probability determinations. The BDN models may include: a general UBD BDN model, a flow UBD BDN model, a gaseated (i.e., aerated) UBD BDN model, a foam UBD BDN model, a gas (e.g., air or other gases) UBD BDN model, a mud cap UBD BDN model, an underbalanced liner drilling (UBLD) BDN model, an underbalanced coil tube (UBCT) BDN model, and a snubbing and stripping BDN model.

Description

PRIORITY CLAIM[0001]This application claims priority to U.S. Provisional Patent Application No. 61 / 722,027 filed on Nov. 2, 2012, entitled “Systems and Methods for Expert Systems for Underbalanced Drilling Operations Using Bayesian Decision Networks,” the disclosure of which is hereby incorporated by reference in its entirety.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]This invention relates generally to the drilling and extraction of oil, natural gas, and other resources, and more particularly to evaluation and selection of underbalanced drilling systems.[0004]2. Description of the Related Art[0005]Oil, gas, and other natural resources are used for numerous energy and material purposes. The search for extraction of oil, natural gas, and other subterranean resources from the earth may cost significant amounts of time and money. Once a resource is located, drilling systems may be used to access the resources, such as by drilling into various geological formations ...

AI Technical Summary

Benefits of technology

The patent text describes an underbalanced drilling expert system that uses a Bayesian decision network (BDN) model to provide recommendations for drilling operations. The system includes various sections and nodes that calculate probabilities based on inputs such as formation indicators, permeability levels, tripping options, and flow drilling types. The system can recommend underbalanced drilling operations based on these probabilities and provide recommendations for equipment requirements. The technical effect of this system is to improve the accuracy and efficiency of drilling operations by providing precise recommendations based on real-time data and advanced decision-making techniques.

Problems solved by technology

The search for extraction of oil, natural gas, and other subterranean resources from the earth may cost significant amounts of time and money.

However, these techniques may be time-consuming and expensive.

Moreover, such techniques may produce inconsistent results and may not incorporate recent changes in practices and opinions regarding the drilling systems.

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