Wellbore Cleaning Tool Imaging for No-Reentry Assessment
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Solution Overview
Problem
Conventional cleaning tools lack a cost-effective method to assess the effectiveness of wellbore cleaning operations without requiring borehole reentry.
Innovation Solution
A method involving digital imaging and machine learning algorithms is used to evaluate the wear and damage of cutting elements before and after a cleaning operation, estimating cleaning effectiveness based on geometry, color, and texture changes in the cutting elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If post cleaning inspection operations are employed to determine cleaning effectiveness, then measurement precision is improved, but loss of time and cost increase significantly
Solution Approach 1:
The system captures images of cutting elements before the cleaning operation, establishing a baseline condition. This preliminary documentation allows for post-comparison without requiring additional borehole entry, as the before-images are already stored for reference during effectiveness assessment.
Solution Approach 2:
The system creates digital image copies of the cutting elements both before and after cleaning operations. These optical copies can be analyzed, stored, and compared without requiring physical retrieval of the tools from the borehole, eliminating the need for time-consuming reentry while maintaining accurate measurement capability.
2Measurement precision
If post cleaning inspection operations are employed to determine cleaning effectiveness, then measurement precision is improved, but cost increases significantly
Solution Approach 1:
The system creates digital image copies of the cutting elements both before and after cleaning operations. These optical copies can be analyzed, stored, and compared without requiring physical retrieval of the tools from the borehole, eliminating the need for time-consuming reentry while maintaining accurate measurement capability.
Solution Approach 2:
The system replaces the mechanical process of physically retrieving and inspecting cleaning tools from the borehole with an optical imaging and digital image analysis system. This substitution eliminates the need for costly reentry operations while providing equivalent or superior measurement precision through digital comparison of cutting element conditions.
3Device complexity
If conventional cleaning tools are used without effectiveness assessment, then device complexity is reduced, but loss of information occurs regarding cleaning performance
Solution Approach 1:
The system captures images of cutting elements after the cleaning operation and compares them with pre-operation images to determine wear and damage. This feedback mechanism provides quantitative information about cleaning effectiveness, allowing operators to assess performance and make informed decisions about tool replacement or maintenance without adding significant complexity to the basic cleaning function.
Solution Approach 2:
The system introduces digital imaging and image analysis as an intermediary between the cleaning operation and the assessment of its effectiveness. Rather than requiring direct physical inspection of the cutting elements, the intermediary process of capturing and analyzing images provides objective data about wear and performance, preserving information that would otherwise be lost.
Data Source
AI summary
A method for estimating an effectiveness of a wellbore cleaning operation includes acquiring digital images of selected cutting elements on a borehole cleaning tool before and after a downhole cleaning operation; comparing the digital images acquired after the downhole cleaning operation with the digital images acquired before the downhole cleaning operation to determine a wear or damage to the selected cutting elements caused by the downhole cleaning operation; and estimating an effectiveness of the cleaning operation from the determined wear or damage to the selected cutting elements.


