Oil and gas pipeline defect three-dimensional contour determination method and device

By constructing multi-channel input data and utilizing a pre-trained defect contour inversion model, the accuracy problem of three-dimensional contour reconstruction of oil and gas pipeline defects in magnetic flux leakage detection methods was solved, and high-precision three-dimensional contour determination of oil and gas pipeline defects was achieved.

CN121741002APending Publication Date: 2026-03-27CHINA UNIV OF PETROLEUM (BEIJING)
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Patent Information

Application Number
CN202511542670.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-27
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing magnetic flux leakage detection methods cannot achieve high-precision three-dimensional contour reconstruction of defects in oil and gas pipelines, making it difficult to meet the engineering requirements for refined assessment.

Method used

By constructing multi-channel input data and utilizing a pre-trained defect contour inversion model, combined with a multi-axis feature extraction and fusion module, a feature encoding module, and a multi-task decoding module, the three-dimensional contour of oil and gas pipeline defects can be determined.

Benefits of technology

It improves the accuracy and detail reproduction of defect contour prediction, and can intuitively reflect the distribution characteristics and edge structure of defects in three-dimensional space in image-level form. It supports the determination of whether there are defects in the target area and finely depicts the depth changes and boundary gradients of defects.

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Abstract

The invention provides an oil and gas pipeline defect three-dimensional contour determination method and device. Acquiring a three-axis magnetic flux leakage detection signal of a to-be-detected target oil and gas pipeline and corresponding space coordinate information of the three-axis magnetic flux leakage detection signal; constructing multi-channel input data according to the three-axis magnetic flux leakage detection signal and the space coordinate information; determining a defect contour prediction result of the target oil and gas pipeline according to the multi-channel input data by using a pre-trained defect contour inversion model; wherein the pre-trained defect contour inversion model comprises a multi-axis feature extraction and fusion module, a feature coding module and a multi-task decoding module; the defect contour prediction result is used for indicating whether the target oil and gas pipeline has defects or not, and the defect contour prediction result is further used for indicating the three-dimensional contour shape of the defects under the condition that the target oil and gas pipeline has the defects. Therefore, high-precision visual reconstruction of the defect position and the three-dimensional form of the oil and gas pipeline is realized, and the accuracy of defect identification and the reliability of evaluation are improved.
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