MFL Defect Geometry Reconstruction for Pipeline Load Limits
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Solution Overview
Problem
Existing methods for determining defect geometry and load limits in pipelines underestimate the maximum burst pressure due to conservative geometric approximations, leading to underestimation of permitted operating pressures, and are subject to subjective interpretation and high costs.
Innovation Solution
A method using multiple expert routines with dedicated algorithms and search strategies on an EDP unit to iteratively adapt defect geometry, simulating MFL measurements, and distributing resources based on success rates to achieve accurate defect reconstruction and load limit calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simplified geometric assumptions (box approximation) are used to evaluate defects, then the evaluation process is simple and fast, but the accuracy of defect geometry determination deteriorates and maximum burst pressure is underestimated
Solution Approach 1:
The patent transforms the defect geometry representation from simplified box parameters to continuous depth profiles with multiple depth values across the defect area. This parameter transformation enables accurate reconstruction of complex corrosion geometries while maintaining computational efficiency through automated evaluation algorithms.
Solution Approach 2:
The patent replaces subjective manual interpretation with automated algorithmic evaluation. The system uses computational algorithms to automatically determine defect geometry from MFL signals, eliminating the need for expert subjective assessment while improving both accuracy and efficiency.
2Ease of manufacture
If subjective interpretation by trained persons is used to evaluate MFL data, then proprietary methods can be applied, but the measurement precision deteriorates due to empirical influences and requires expensive in situ examinations for verification
Solution Approach 1:
The patent implements self-service through automated algorithmic evaluation that independently determines defect geometry without requiring expert interpretation. The system serves itself by using mathematical algorithms to automatically reconstruct defect profiles from MFL signals, eliminating subjective human factors while maintaining proprietary methodology.
3Measurement precision
If scientific models with iterative methods are used to simulate MFL measurements, then defect geometry can be reconstructed, but the solutions may be unrealistic and incorrect for complex data records with interfering influences
Solution Approach 1:
The patent implements feedback mechanisms where the evaluated defect geometry is continuously refined by comparing simulated MFL signals with actual measurement data. The algorithm adjusts depth profiles iteratively based on the discrepancy between simulated and measured signals, ensuring realistic and accurate defect reconstruction even for complex corrosion patterns.
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
Accurately determines defect geometry and load limits, allowing pipelines to operate at higher pressures, reducing maintenance costs and improving accuracy by up to 50%, and achieving ASME B31G-2012 level 2 compliance.
Implementation Method 1
a reference data record of the object, which is produced on the basis of one or more MFL measurements
Data Source
AI summary
Method for determining the geometry of multiple defects in a magnetizable object using a reference data record of the object, comprising determining an initial defect geometry as starting defect geometry, determining a first MFL prediction data record as starting prediction data record on the basis of the starting defect geometry, and iteratively adapting the starting defect geometry to the geometry of the real defect(s) by means of the EDP unit and by means of multiple expert routines (11) running in competition and preferably in parallel with one another.