Drilling Slurry Image Processing for Real-Time Solids Classification
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Solution Overview
Problem
Existing wellbore drilling systems lack efficient and automated methods for analyzing and classifying drill cuttings and non-drilled solids, relying on manual visual inspection which is time-consuming and prone to errors, and do not provide real-time insights into drilling conditions.
Innovation Solution
A system comprising a digital imaging device mounted on a non-vibrating member of a shale shaker, coupled with a computer system, uses image processing and deep learning techniques to classify drill cuttings and non-drilled solids based on geometric attributes and drilling parameters, providing real-time monitoring and condition assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual visual inspection is used to analyze drill cuttings, then the system complexity is low, but the productivity and measurement precision are insufficient
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system using digital cameras and computer algorithms. The system captures images of drill cuttings, processes them through image analysis algorithms, and automatically classifies solids based on geometric attributes, eliminating the need for manual inspection while significantly improving analysis speed and productivity.
Solution Approach 2:
The system creates digital copies (images) of the drill cuttings and non-drilled solids, then analyzes these copies through image processing techniques. This allows multiple measurements and classifications to be performed on the same object without physical manipulation, improving both productivity and measurement precision.
2Measurement precision
If manual inspection methods are used, then the equipment cost is low, but the measurement precision and reliability are insufficient
Solution Approach 1:
The patent replaces subjective manual inspection with objective image processing algorithms that consistently measure geometric attributes such as area, perimeter, circularity, and aspect ratio. This substitution eliminates human error and subjectivity, providing reliable and repeatable measurements for classifying drill cuttings and non-drilled solids.
Solution Approach 2:
The system provides real-time feedback by continuously analyzing images of solids and immediately classifying them. The automated classification results are fed back to operators, enabling real-time monitoring and decision-making, which improves measurement precision and operational reliability.
3Loss of time
If real-time monitoring is implemented, then the productivity and response time are improved, but the device complexity and cost increase
Solution Approach 1:
The system implements continuous real-time monitoring by continuously capturing images of solids as they pass through the drilling system and immediately processing them through image analysis algorithms. This continuous operation eliminates delays between sampling and analysis, providing immediate classification results without interrupting the drilling process.
Solution Approach 2:
The patent replaces time-consuming manual inspection with automated image capture and processing systems that operate in real-time. Digital cameras capture images continuously, and computer algorithms process them immediately, reducing the time loss from hours or days of manual analysis to seconds or minutes of automated processing.
4Productivity
If automated image processing is used, then the productivity and measurement precision are improved, but the ease of operation decreases
Solution Approach 1:
The system performs self-service by automatically capturing images, processing them through image analysis algorithms, and generating classification results without requiring manual intervention. The automated operation handles the entire workflow from image capture to solid classification, improving productivity while minimizing the operational burden on users.
Solution Approach 2:
The system provides clear feedback through automated classification results that are immediately available to operators. The image processing system and algorithms handle the complex analysis internally, presenting simplified results to users and maintaining ease of operation despite the sophisticated processing occurring behind the scenes.
Data Source
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AI summary
Analysis of drilling slurry solids by image processing includes receiving images of a solid slurry including a mixture of wellbore drilling mud and solid objects found in the wellbore while drilling the wellbore through a subterranean zone. The solid objects include drill cuttings and non-drilled solids. By implementing image processing techniques on the images, the solids in the solid slurry are classified a drill cutting or as a non-drilled solid.