Optical Stuffing Box Leak Detection via Color Space Analysis
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Solution Overview
Problem
Existing leak detection methods for oil wellhead stuffing boxes are invasive, require disruption of wellhead operations, and are not robust against harsh environmental conditions, leading to inefficiencies and potential environmental hazards.
Innovation Solution
A non-invasive image analysis system using cameras and servers to detect leaks by analyzing color changes in images of the stuffing box, employing color space transformations and region-of-interest analysis to differentiate between the stuffing box and oil leaks, and generating notifications for operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing leak detection methods (reservoir of lubricant, container/salvage chamber) are used, then leak detection capability is improved, but installation complexity and disruption to wellhead operation increase
Solution Approach 1:
The patent replaces mechanical leak detection systems (reservoirs, containers, salvage chambers) with an optical detection system using a camera and image analysis software. The camera captures images of the stuffing box area, and the system analyzes these images to detect leaks, eliminating the need for physical reservoirs or containers that would disrupt wellhead operations.
Solution Approach 2:
The camera-based system serves multiple functions: it can detect leaks from stuffing boxes, monitor other wellhead components, and provide visual records for operational documentation. The same camera system can be used for various detection purposes without requiring separate specialized equipment for each function.
2Reliability
If existing leak detection methods are installed, then leak detection capability is improved, but operational disruption increases
Solution Approach 1:
The patent replaces mechanical leak detection systems (reservoirs, containers, salvage chambers) with an optical detection system using a camera and image analysis software. The camera captures images of the stuffing box area, and the system analyzes these images to detect leaks, eliminating the need for physical reservoirs or containers that would disrupt wellhead operations.
3Measurement precision
If color-based leak detection is used, then detection accuracy is improved, but environmental condition sensitivity worsens
Solution Approach 1:
The patent transforms color information from the RGB color space to the L*a*b* color space, where the a* and b* channels represent color opponent dimensions. This transformation makes the detection more robust to lighting variations because the color opponent encoding separates chromatic information from luminance, allowing the system to distinguish oil leaks from environmental factors like glare or shadows.
Solution Approach 2:
The patent applies different processing strategies to different regions of the image based on local conditions. The system identifies the dominant color channel (a* or b*) for each region and applies appropriate detection thresholds, allowing it to adapt to varying environmental conditions in different parts of the wellhead area.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects leaks with a high true detection rate (96.6%) and low false alarm rate, is robust to varying environmental conditions, and can be easily installed without interfering with wellhead operations.
Implementation Method 1
acquiring a test image of the target with a camera, in which the test image comprises pixel values that are representative of color
Implementation Method 2
analyzing the test image to determine if a leak is present on the equipment from the pixel values that are representative of color
Data Source
AI summary
Apparatus and corresponding method are invented for detecting a leak in equipment forming a target, such as a stuffing box. The apparatus includes an image analyzer configured to receive an image from camera and analyze the image to determine if a leak on the equipment is present by comparing a color channel of the image with a reference and the image analyzer having an output port for delivering a notification upon the image analyzer determining that a leak is present on the equipment.