ML · Done
Shale Shaker Cutting Estimations
Overview
This project involved developing a computer vision system to monitor and analyze rock cuttings from shale shakers in real-time using CCTV footage. The system was designed to improve the efficiency and accuracy of drilling process monitoring by providing real-time data on rock coverage and composition, thereby supporting operational decision-making in the oil and gas industry.
Challenge
The primary challenges included processing video streams in real-time with minimal latency, accurately detecting and analyzing rock cuttings amidst varying lighting conditions and potential noise, and ensuring the system's reliability and scalability for integration with existing monitoring systems like the Early Monitoring System (EMS).
Result
The developed system successfully provided real-time monitoring of shale shaker cuttings, enabling more informed decision-making during drilling operations. It achieved high accuracy in detecting rock coverage and composition, with visualizations helping to identify trends in rock composition over time. The system was seamlessly integrated with the Early Monitoring System, enhancing overall operational efficiency and reducing manual monitoring efforts.
Key Statistics
90%
Detection Accuracy
<300ms
Processing Latency
85%
System Uptime
Successful
Integration with EMS
Technologies
Frontend
Backend
Database
Real-time
Gallery
Real-time Rock Detection
Live feed with detected rock contours on the shale shaker.
Trend Analysis Graph
Graph showing trends in rock composition over time.