Supervisory Control System for Drilling Task Prioritization
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Solution Overview
Problem
Current downhole drilling processes lack efficient control mechanisms that can dynamically prioritize and manage tasks across multiple actors, including downhole and surface tools, and human operators, especially when encountering varying borehole shapes, which affects the precision and efficiency of drilling operations.
Innovation Solution
A service-oriented control system that uses a supervisory control system to identify and prioritize tasks based on trigger conditions, directing commands to actors such as downhole tools, surface tools, or human operators, and dynamically adjusts procedures to achieve drilling goals, such as directional drilling, by utilizing a combination of real-time data and best practices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a supervisory control system dynamically prioritizes and manages tasks across multiple actors based on trigger conditions, then the precision and efficiency of drilling operations are improved, but the device complexity increases
Solution Approach 1:
A supervisory control system acts as an intermediary between multiple actors (downhole tools, surface tools, human operators) and the drilling process. The system receives data from various sensors and tools, processes this information through a centralized platform, and distributes appropriate commands to the relevant actors. This mediator approach coordinates task prioritization and management without requiring direct complex interactions between all system components, thereby improving overall drilling efficiency while managing system complexity through centralized intelligence.
2Adaptability or versatility
If the control system adjusts procedures dynamically based on real-time data and trigger conditions, then the adaptability of drilling operations is improved, but the difficulty of detecting and measuring system state increases
Solution Approach 1:
The supervisory control system implements continuous feedback loops by receiving real-time data from sensors and tools deployed during drilling operations. This feedback mechanism allows the system to detect changes in borehole shape, drill string status, and other critical parameters, automatically adjust drilling procedures and task priorities accordingly, and maintain optimal drilling performance. The feedback-driven adaptation improves operational versatility while the automated detection and measurement processes manage the complexity of real-time system state monitoring.
Data Source
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AI summary
A system and a method to providing a drilling service are described. The system includes a processor to identify two or more tasks associated with the service and one or more procedures associated with each of the one or more tasks. The system also includes an output interface to output commands to complete the one or more procedures associated with each of the two or more tasks, the commands being directed to actors that complete the one or more procedures, the actors including a downhole tool, a surface tool, or a human operator.