Drilling Performance Evaluation Using Real-Time Sensor Feedback
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Solution Overview
Problem
Current drilling operations lack efficient methods to real-time monitor and adjust drilling parameters to optimize performance, leading to suboptimal drilling efficiency and path conformity.
Innovation Solution
A system comprising sensors on the drill string and drill bit, coupled with a control unit that processes data to compare measured performance parameters with target parameters from similar drilling operations, calculating a normalized, weighted average difference to adjust drilling operating parameters and display performance attribute values on a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time monitoring and adjustment of drilling parameters is implemented, then drilling efficiency and path conformity are improved, but device complexity and operational costs increase
Solution Approach 1:
The system continuously monitors drilling parameters (rate of penetration, weight on bit, rotary speed, torque, vibrations) and compares them against target parameters from historical data, providing real-time feedback to automatically adjust drilling operating parameters and maintain optimal performance
Solution Approach 2:
The system uses automated control algorithms that self-adjust drilling parameters based on real-time performance data and historical comparisons, reducing the need for manual intervention and expert operator judgment while maintaining optimized drilling efficiency
2Manufacturing precision
If real-time monitoring and adjustment of drilling parameters is implemented, then drilling path conformity is improved, but device complexity and operational costs increase
Solution Approach 1:
The system monitors drilling parameters including vibrations and torque that indicate path deviations, comparing real-time data against target parameters to detect conformities and deviations, providing continuous feedback for automatic adjustment of drilling operating parameters to maintain precise path following
Solution Approach 2:
The system replaces manual operator judgment and mechanical adjustment methods with automated electronic sensors, processors, and control algorithms that objectively measure and adjust drilling parameters based on data-driven comparisons against historical performance
3Measurement precision
If multiple performance parameters are measured and compared, then drilling performance evaluation accuracy is improved, but loss of time and computational complexity increase
Solution Approach 1:
The system measures multiple drilling parameters (rate of penetration, weight on bit, rotary speed, torque, vibrations) but applies selective weighting in the normalized weighted average calculation, focusing computational effort on the most critical parameters for performance evaluation while still capturing comprehensive drilling performance
4Measurement precision
If normalized weighted average calculation is used to evaluate performance, then performance attribute determination accuracy is improved, but computational complexity increases
Solution Approach 1:
The system transforms multiple raw drilling parameters into a simplified normalized performance attribute value using weighted averaging, where each parameter is normalized to a common scale and combined with weights reflecting its importance, converting complex multi-parameter data into an intuitive single metric for performance evaluation
Data Source
AI summary
A method for evaluating or improving performance of a drilling operation includes, during the drilling operation, receiving a performance parameter of a component of a drilling system measured by a sensor of the drilling system. The measured performance parameter is compared to a target performance parameter of the component of the drilling system. The target performance parameter includes a performance parameter of a prior drilling operation measured under substantially similar drilling conditions and measured at at least one of substantially a same drilling depth, substantially a same depth percent, and substantially a same drilling time. A performance attribute value is determined by calculating a normalized, weighted average difference between the measured performance parameter and the target performance parameter.


