Surface Steerable Drilling System for Borehole Trajectory Correction
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Solution Overview
Problem
Current drilling technologies face challenges in accurately navigating complex boreholes due to directional drilling complexities, leading to increased costs and potential long-term output reductions from drilling errors.
Innovation Solution
A surface steerable drilling system that utilizes a controller connected to a centralized database, incorporating real-time data from drilling operations to adjust drilling parameters and correct deviations from planned paths, enhancing precision and reducing errors through automated decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If directional drilling is used to navigate complex boreholes, then the ability to reach remote targets is improved, but drilling accuracy deteriorates due to increased complexity
Solution Approach 1:
The system continuously monitors drilling parameters including borehole location, orientation, and formation characteristics, comparing actual results with planned parameters in real-time. This closed-loop feedback enables automatic adjustments to maintain drilling accuracy despite the complexities of directional drilling, resolving the contradiction between adaptability and precision.
Solution Approach 2:
The drilling system performs self-correction by automatically adjusting drilling parameters based on real-time data analysis. The automated decision-making system compensates for deviations without human intervention, allowing the system to maintain high accuracy while navigating complex directional paths, thus resolving the contradiction between versatility and precision.
2Manufacturing precision
If real-time monitoring and automated control systems are implemented, then drilling accuracy is improved, but system complexity increases
Solution Approach 1:
The controller integrates multiple functions including data acquisition, real-time analysis, decision-making, and actuation control into a single unified system. This multi-functionality reduces the need for separate specialized components, achieving high drilling accuracy while minimizing overall system complexity through functional integration.
Solution Approach 2:
The system performs self-diagnosis and self-correction by automatically detecting deviations and adjusting parameters without external intervention. This autonomous operation reduces the complexity of manual monitoring and control systems, maintaining high accuracy through automated self-regulation rather than complex human-operated systems.
Data Source
AI summary
A system and method for surface steerable drilling are provided. In one example, the system receives feedback information from a drilling rig and calculates an estimated position of a drill bit in a formation based on the feedback information. The system compares the estimated position to a desired position along a planned path of a borehole. The system calculates multiple solutions if the comparison indicates that the estimated position is outside a defined margin of error relative to the desired position. Each solution defines a path from the estimated position to the planned path. The system calculates a cost of each solution and selects one of the solutions based at least partly on the cost. The system produces control information representing the selected solution and outputs the control information for the drilling rig.