Drill Bit Wear Prediction Using Image-Based Forensics
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Solution Overview
Problem
The current IADC eight field code for drill bit wear assessment is subjective, lacks accuracy and repeatability, and is difficult to integrate with other drilling data, limiting the prediction of drill bit wear and optimization of drilling parameters.
Innovation Solution
A method that includes obtaining a wear report for a drill bit by analyzing images and 3D scans to identify wear characteristics, patterns, and probable drilling conditions, and adjusting operating parameters based on these analyses to improve drill bit performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual inspection using IADC eight field code is used to assess drill bit wear, then the assessment process is simple and quick, but the accuracy, repeatability, and resolution of wear measurement are poor
Solution Approach 1:
The patent replaces the manual visual inspection method with an automated image processing and computer vision system. The system captures images of the drill bit and uses algorithms to automatically analyze wear characteristics, substituting human visual assessment with computational analysis to improve measurement precision while maintaining operational simplicity
Solution Approach 2:
The patent creates digital copies (images) of the drill bit and analyzes these copies to determine wear characteristics. This allows multiple analyses of the same drill bit without physical contact or repeated handling, improving both measurement accuracy and repeatability while keeping the assessment process efficient
2Device complexity
If subjective linear wear determination is used, then the assessment method is straightforward, but the full value of drill bit forensics is lost due to non-linear wear volume
Solution Approach 1:
The patent transforms the wear assessment from subjective linear ratings to quantitative measurements of wear volume and characteristics. By analyzing image data to calculate actual wear volumes and patterns, the system captures the non-linear nature of wear while maintaining manageable complexity through automated computation
Solution Approach 2:
The patent introduces image processing algorithms and computer vision techniques as intermediaries between the physical drill bit and the wear assessment. These intermediaries extract detailed forensic information from drill bit images, preserving full wear characteristics without requiring complex manual evaluation procedures
3Adaptability or versatility
If IADC eight field code is used for wear assessment, then the standardized classification is available, but the data is difficult to integrate with other drilling data for advanced analytics
Solution Approach 1:
The patent creates a multi-functional wear assessment system that generates data in formats suitable for both standardized classification (maintaining IADC compatibility) and advanced analytics. The image processing system produces quantitative wear measurements that can be integrated with other drilling data while still providing standardized wear codes when needed
Solution Approach 2:
The patent segments the wear assessment into distinct quantitative components (wear volume, wear patterns, location-specific wear) that can be independently analyzed and integrated with other drilling parameters. This segmentation allows flexible data integration for various analytical purposes while maintaining standardized classification capabilities
Data Source
AI summary
A system for improving drill bit performance, comprising processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.