Image Analysis of Rock Cuttings for Real-Time Evaluation of Drilling Performance

Abstract This study explores image analysis as a laboratory technique to evaluate rock cuttings as real-time indicators of drilling performance. While traditional metrics like Rate of Penetration (ROP) and Mechanical Specific Energy (MSE) are commonly used to assess drilling efficiency, this research emphasizes the potential of cutting shape and size analysis. Larger cuttings correlate with high ROP and low MSE, while spiky shapes suggest effective bottom-hole cleaning and fluid flow. In contrast, smaller, rounded cuttings are linked to reduced efficiency, highlighting the value of this approach. The study develops advanced techniques for analyzing rock cuttings under various experimental conditions, such as wet vs. dry conditions, different background colors, and clean vs. dirty samples. Images are captured by a camera mounted on a moving conveyor belt, then analyzed with ImageJ software. The research also compares mono-color and multi-color cuttings to assess the impact of visual variability on analysis accuracy. This research demonstrates how image analysis can provide real-time, reliable insights into drilling performance. By linking cutting characteristics to drilling efficiency, the technique supports decision-making and allows for timely adjustments to optimize performance in oil and gas, geothermal, and mining drilling operations.