Wellbore Pipe Corrosion Visualization Using Eddy Current Sensors
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Solution Overview
Problem
Monitoring and evaluating corrosion in wellbore pipes is challenging due to harsh environments and accessibility issues, making it costly and time-consuming to assess and maintain the structural integrity of these pipes effectively.
Innovation Solution
The use of electromagnetic sensing technologies, specifically frequency-domain and time-domain Eddy current tools, to visualize and analyze the condition of wellbore pipes, providing high-quality images of metal loss, gain, and defects, allowing for informed decision-making on remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic sensing technologies are used to monitor wellbore pipes, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The inspection system is divided into multiple sensor arrays positioned at different radial distances from the pipe. Each sensor array operates independently to detect corrosion at different stages, allowing the system to achieve high measurement precision through multiple measurement zones without requiring a single overly complex sensor design
Solution Approach 2:
A multi-layer sensor configuration acts as an intermediary between the inspection tool and the pipe wall. The sensors are positioned in cement sheath and other media between the tool and pipe, enabling corrosion detection without direct contact while maintaining measurement precision through the intermediary measurement paths
2Reliability
If detailed visualization of pipe conditions is achieved, then reliability of pipe assessment is improved, but loss of time in processing increases
Solution Approach 1:
The system performs preliminary classification of corrosion defects during the measurement process itself, categorizing defects by severity and location as they are detected. This preliminary action allows for rapid generation of actionable inspection reports without requiring extensive post-processing analysis, thereby maintaining high assessment reliability while reducing time loss
Solution Approach 2:
Manual analysis of pipe inspection data is replaced with automated electronic processing and visualization systems. The electromagnetic sensors and associated electronics automatically process raw signals into detailed pipe condition visualizations, eliminating time-consuming manual inspection while maintaining or improving assessment reliability
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
This approach enables detailed visualization and characterization of wellbore pipes, facilitating timely and cost-effective maintenance by identifying defects and corrosion, thereby improving the integrity and longevity of the pipes.
Implementation Method 1
electromagnetic sensing technologies, specifically frequency-domain and time-domain Eddy current tools
Implementation Method 2
transmitting one or more excitation signals from a transmitter antenna of the pipe inspection tool and measuring a plurality of response signals derived from the one or more excitation signals
Data Source
AI summary
A method includes conveying a pipe inspection tool including one or more sensors into a wellbore having at least one pipe, transmitting an excitation signal from the pipe inspection tool and measuring response signals with the sensors, and processing the response signals to obtain measured responses. A map of the pipe is then generated based on the measured responses, where the map is divided into pipe ranges extending along the length of the pipe and each pipe range corresponds to a percentage of metal loss in the pipe. A photorealistic image is assigned to each pipe range based on the percentage of metal loss, and a two-dimensional (2D) or three-dimensional (3D) image is then generated as a combination of each photorealistic image. The 2D or 3D image is then graphically visualized.