Drill String Slip Status Detection Using Dynamic Hook Load Thresholds
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Solution Overview
Problem
Conventional methods for determining the slip status of a drill string are prone to errors due to static, manual, and inaccurate hook load threshold values, leading to unreliable slip status determination, which affects drilling operational efficiency and accuracy in measuring critical parameters like bit depth and stand counter values.
Innovation Solution
A computer-implemented method and system that continuously monitors and controls the slip status by obtaining hook load data at predetermined intervals, determining temporal variations, and comparing them with a dynamically adjusted threshold value of noise based on predetermined parameters, while verifying and correcting the slip status using specific conditions to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static, manual hook load threshold values are used for slip status determination, then the method is simple to implement, but the accuracy and reliability of slip status determination deteriorates
Solution Approach 1:
The patent transforms the static, manual threshold value approach into a dynamic, automated system. The hook load threshold values are now determined automatically based on real-time drilling parameters (weight on bit, rotary speed, pump rate) and historical data, allowing the system to adapt to changing drilling conditions. This dynamic adjustment resolves the contradiction by maintaining ease of implementation through automation while significantly improving accuracy.
Solution Approach 2:
The system changes the parameters used for threshold determination from fixed manual values to variable parameters based on actual drilling conditions. By incorporating weight on bit, rotary speed, pump rate, and historical hook load data, the system creates context-aware threshold values that accurately reflect current drilling state, thereby improving slip status determination accuracy without complicating the implementation process.
2Measurement precision
If automated real-time monitoring of drilling parameters is implemented, then the accuracy of slip status determination improves, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where existing drilling monitoring infrastructure serves multiple purposes. The same sensors and data collection systems used for general drilling parameter monitoring are also utilized for slip status determination, eliminating the need for separate dedicated hardware. This reduces system complexity while maintaining high accuracy through comprehensive real-time data analysis.
Solution Approach 2:
The system implements self-service through automated threshold determination and slip status classification without requiring manual intervention. The automated algorithms process real-time data, compare hook load variations against dynamically calculated thresholds, and determine slip status independently. This automation improves accuracy while keeping the system manageable by eliminating manual calibration and monitoring requirements.
3Reliability
If dynamic threshold adjustment based on drilling parameters is used, then the reliability of slip status determination improves, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating threshold values based on drilling parameters before slip events occur. Historical data is analyzed in advance to establish baseline thresholds, and real-time parameter changes are used to adjust these thresholds proactively. This approach ensures reliable slip status determination by having thresholds ready before critical events, minimizing processing delays during actual slip detection.
Solution Approach 2:
The system maintains continuous monitoring and continuous threshold adjustment based on ongoing drilling parameters. Rather than periodic updates, the threshold determination is a continuous process that follows drilling operations in real-time, ensuring that the most current drilling state is always reflected in the threshold values. This continuity improves reliability without significant time loss by processing data streams continuously rather than in batches.
Data Source
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AI summary
The present disclosure relates to a method and a system for determining slip status of a drill string. The monitoring and control system is configured to obtain a hook load data at predetermined time intervals, and determine variation of hook load between the predetermined time intervals using the hook load data obtained. The monitoring and control system further determines a slip status of the drill string corresponding to each of the variation of hook load. The slip status is determined by comparing each of the variation of hook load with a threshold value of noise. The threshold value of noise is determined based on predetermined parameters of the drill string. The method and system of present disclosure accurately determines the slip status of the drill string, thereby improves operational efficiency of the drill rig.