Drill String Status Detection Using Dynamic Thresholds
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Solution Overview
Problem
Manual input of data for monitoring hookload thresholds in drill strings is time-consuming and prone to human error, posing risks to worker safety and operational efficiency during drilling operations in geotechnical strata with varying conditions.
Innovation Solution
A method and apparatus that automatically determine the status of a drill string by filtering pressure and hook load data to establish dynamic thresholds, enabling the detection of in-slips conditions, which includes obtaining and processing data from multiple directions to set low pressure and hook load baselines, and merging sections to determine the in-slips status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input of data is used to monitor hookload thresholds, then operators can track in-slips conditions, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent replaces the manual mechanical data input process with an automated computer-based system that automatically obtains, filters, and analyzes pressure and hookload data. This substitution eliminates human error in data entry and significantly reduces the time required for monitoring drill string status, directly resolving the contradiction between reliability and time loss.
2Ease of operation
If manual monitoring methods are used, then operators can detect in-slips conditions, but worker safety risks and operational efficiency are compromised
Solution Approach 1:
The system enables self-service monitoring by automatically detecting in-slips and on-bottom conditions without requiring continuous manual observation. The computer system independently processes data, applies filtering algorithms, determines dynamic thresholds, and identifies drill string status, thereby improving operational efficiency while eliminating safety risks associated with manual monitoring.
3Measurement precision
If automated detection with dynamic thresholds is implemented, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct modular components: data acquisition, filtering operations, baseline determination, dynamic threshold calculation, and status determination. Each module performs a specific function, making the overall complex system manageable and maintainable while achieving high measurement precision through coordinated operation of these segmented components.
Data Source
AI summary
A method for determining a status of a drill string in a wellbore. The method can include obtaining pressure data and hook load data for the drill string. The pressure data can be filtered to obtain pressure sections. A low pressure threshold can be determined based upon the pressure sections. The hook load data can be filtered to obtain hook load sections. Hook load baselines can be determined based upon the hook load sections. Dynamic thresholds can be determined based upon the hook load baselines. An in-slips status of the drill string can be determined based upon the low pressure threshold, the dynamic thresholds, or both.