Drill Bit Wear Prediction Using Image-Based Wear Assessment
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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
1Productivity
If visual inspection using IADC eight field code is used to assess drill bit wear, then the process is simple and quick, but the accuracy, repeatability, and resolution of wear assessment deteriorates
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, eliminating subjective human evaluation while maintaining high assessment speed. This substitution of mechanical/manual processes with automated optical and computational systems resolves the contradiction between quick assessment and accurate measurement.
Solution Approach 2:
The patent creates digital copies (images) of the drill bit and analyzes these copies using computer vision algorithms. Instead of directly inspecting the physical drill bit, the system works with replicated visual information, enabling automated, repeatable, and high-resolution wear assessment without the limitations of human visual inspection. This copying approach maintains productivity while dramatically improving measurement precision.
2Device complexity
If subjective linear wear determination is used, then the assessment process is simple, but the ability to capture non-linear wear volume deteriorates
Solution Approach 1:
The patent transforms the wear assessment from simple linear measurements to multi-dimensional parameter analysis. The system evaluates multiple wear characteristics including wear volume, wear patterns, and spatial distribution across the drill bit surface. By changing the assessment parameters from single-dimensional linear codes to multi-dimensional image-based metrics, the system accurately captures non-linear wear volume while managing complexity through automated processing.
3Adaptability or versatility
If IADC eight field code is used for wear assessment, then standardization is achieved, but integration with other drilling data for advanced analytics deteriorates
Solution Approach 1:
The patent creates a multi-functional wear assessment system that serves multiple purposes: it provides standardized wear classification like IADC codes while simultaneously generating rich image data and quantitative wear metrics. This universal system can be integrated with other drilling data for advanced analytics, predictive modeling, and performance optimization. The system maintains standardization benefits while eliminating information loss by preserving detailed image and measurement data for further analysis.
Data Source
AI summary
A system for improving drill bit performance, having 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.