18125576. OPTIMAL PROBABILISTIC STEERING CONTROL OF DIRECTIONAL DRILLING SYSTEMS simplified abstract (Board of Regents, The University of Texas System)
Contents
OPTIMAL PROBABILISTIC STEERING CONTROL OF DIRECTIONAL DRILLING SYSTEMS
Organization Name
Board of Regents, The University of Texas System
Inventor(s)
Nazli Demirer of Tomball TX (US)
Robert P. Darbe of Tomball TX (US)
Alexander Mathew Keller of Austin TX (US)
Dongmei Chen of Austin TX (US)
OPTIMAL PROBABILISTIC STEERING CONTROL OF DIRECTIONAL DRILLING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18125576 titled 'OPTIMAL PROBABILISTIC STEERING CONTROL OF DIRECTIONAL DRILLING SYSTEMS
Simplified Explanation: The patent application relates to controlling a drill string with a steerable bit while drilling a wellbore through a substrate. It involves developing deterministic and stochastic models to predict the directional behavior of the drill string.
- Drill string control system for steering a bit while drilling
- Deterministic model for directional behavior prediction
- Stochastic model with probability distributions for more accurate predictions
- Truncated stochastic model using polynomial chaos expansion
- Evaluation of expectations for the directional behavior
Key Features and Innovation: - Development of deterministic and stochastic models for drill string control - Integration of probability distributions for more accurate predictions - Use of polynomial chaos expansion for a truncated stochastic model - Enhanced evaluation of expectations for directional behavior
Potential Applications: - Oil and gas drilling operations - Geothermal drilling projects - Mining exploration activities
Problems Solved: - Inaccurate directional drilling predictions - Lack of precise control over drill string behavior - Difficulty in steering a bit through challenging substrates
Benefits: - Improved accuracy in predicting drill string behavior - Enhanced control over steering a bit during drilling - Increased efficiency and safety in drilling operations
Commercial Applications: The technology can be applied in the oil and gas industry for more precise drilling operations, leading to cost savings and improved productivity.
Prior Art: Prior research in the field of directional drilling and control systems for drill strings can provide valuable insights into existing technologies and innovations.
Frequently Updated Research: Stay updated on advancements in directional drilling technologies, stochastic modeling techniques, and control systems for drill strings to enhance the efficiency and accuracy of drilling operations.
Questions about Drill String Control Technology: 1. How does the integration of probability distributions improve the accuracy of directional behavior predictions? 2. What are the potential challenges in implementing a truncated stochastic model using polynomial chaos expansion in drill string control systems?
Original Abstract Submitted
Aspects of the subject technology relate to systems and methods of controlling a drill string having a steerable bit when drilling a wellbore through a substrate. A deterministic model of a directional behavior of the drill string is developed that includes a drill string state, one or more drill parameters associated with the drill string, and one or more substrate parameters associated with the substrate. A stochastic differential model of the directional behavior of the drill string is then developed by replacing the state and each of the parameters of the deterministic model with respective probability distributions and adding feedback. The stochastic differential model is reduced to a truncated stochastic model by substituting a predetermined number of terms of a generalized polynomial chaos expansion for each probability distribution and then evaluating the expectations.
