AI Wireline Cable Inspection for Fast Defect Detection
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Solution Overview
Problem
Conventional wireline cable inspection methods are inefficient, time-consuming, and prone to missing small anomalies due to reliance on manual visual inspection, which can lead to catastrophic failures and high economic costs.
Innovation Solution
A method utilizing a visual camera apparatus with machine learning and artificial intelligence for automated defect detection, capturing high-speed images and applying advanced object detection algorithms to identify anomalies in wireline cables, reducing inspection time and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection with magnifying glass is used, then inspection cost is low, but inspection time is very long (5-7 days for aggressive mud exposure) and detection accuracy is limited
Solution Approach 1:
The patent replaces manual mechanical inspection (technicians using magnifying glasses) with an automated optical inspection system comprising cameras, lighting systems, and image processing algorithms. This substitution enables high-speed automated defect detection with superior accuracy, resolving the contradiction between detection precision and inspection time by eliminating human limitations in speed and visual acuity.
Solution Approach 2:
The system creates digital copies (photographs) of cable segments and analyzes them through image processing algorithms. This copying approach allows multiple cable segments to be inspected simultaneously and enables detailed analysis without physically handling or slowing down the cable, thereby reducing inspection time while maintaining high detection accuracy.
2Productivity
If spot checks at 2-5 meters every 500 meters are performed, then inspection speed is maintained, but detection reliability is insufficient for small anomalies (2mm×2mm)
Solution Approach 1:
The patent divides the cable inspection into discrete photographic segments captured at high speed, with each segment analyzed independently by image processing algorithms. This segmentation allows continuous high-speed inspection while ensuring no anomaly is missed, as each segment is thoroughly analyzed. The system can process multiple segments simultaneously, maintaining productivity while enhancing reliability through comprehensive coverage.
Solution Approach 2:
The patent introduces an intermediary image processing system that acts between the camera capture and final defect identification. This intermediary layer includes algorithms for noise reduction, feature enhancement, and anomaly detection, which significantly improve the reliability of detecting small 2mm×2mm anomalies while maintaining the high-speed capture rate, thus resolving the contradiction between inspection speed and detection reliability.
3Reliability
If visual inspection is carried across the whole length of cable exposed to aggressive mud system, then detection reliability improves, but inspection time increases to 5-7 days
Solution Approach 1:
The patent replaces slow manual inspection with automated optical systems that can process entire cable lengths at high speed. The automated image capture and processing system maintains comprehensive defect detection reliability while increasing productivity by factors of 10-100 times, reducing inspection time from days to hours or minutes depending on cable length.
Solution Approach 2:
The system enables continuous inspection of the entire cable length without interruption or repositioning, capturing images continuously as the cable moves through the inspection system. This continuous action eliminates the time-consuming stop-and-go nature of manual inspection, maintaining comprehensive coverage while dramatically improving productivity and reducing inspection time.
4Productivity
If high-speed cable spooling (10 kft/hr) is used, then productivity is improved, but detection precision deteriorates due to motion blur and small anomaly size
Solution Approach 1:
The system uses periodic high-speed flash photography synchronized with cable movement to capture sharp images at high spooling speeds. The periodic illumination and capture timing are precisely controlled to freeze motion, eliminating blur even at 10 kft/hr spooling rates. This allows high productivity through fast spooling while maintaining detection precision for small anomalies.
Solution Approach 2:
The patent introduces an intermediary high-speed imaging system with specialized optics and illumination that mediates between the fast-moving cable and the detection requirements. This intermediary system captures sharp, high-resolution images of small 2mm×2mm anomalies even during high-speed spooling, preserving measurement precision while enabling high productivity through rapid cable movement.
Data Source
AI summary
Aspects of the disclosure provide for a method and apparatus to quickly identify defects in a cable used in hydrocarbon recovery wireline operations. A series of high-speed cameras take pictures along a length of the wireline cable, while artificial intelligence data processing algorithms process the camera data.