A distributed optical fiber temperature logging monitoring method and system

By combining spectral domain decoupling reconstruction, heat flux residual feature extraction, and time-frequency domain joint decomposition with a multi-scale heat conduction constraint model, the problem of discontinuous temperature inversion in distributed fiber optic temperature logging was solved, enabling high-resolution monitoring and anomaly identification of the wellbore temperature field.

CN122129247AActive Publication Date: 2026-06-02QINGDAO ZITN MICROELECTRONICS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO ZITN MICROELECTRONICS CO LTD
Filing Date
2026-05-07
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing distributed fiber optic temperature logging technology exhibits discontinuities and unreliability in the inversion results of wellbore temperature fields, especially in transition zones or abnormal sections of the well section, making it difficult to accurately identify temperature anomalies.

Method used

A spectral domain decoupling and reconstruction method is used to remove non-temperature-related spectral interference components. Combined with heat flux residual feature extraction and time-frequency domain joint decomposition, temperature inversion is performed through a multi-scale heat conduction constraint model to achieve accurate identification and anomaly location of temperature trend data.

Benefits of technology

It significantly improves the monitoring sensitivity and positioning accuracy of temperature logging, can identify multiple temperature evolution patterns, improves the accuracy and robustness of temperature inversion, and enhances the ability to identify thermal anomalies under wellbore structures.

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Abstract

This invention relates to the field of wellbore measurement data processing technology, and particularly to a distributed fiber optic temperature logging monitoring method and system. The method includes the following steps: acquiring backscattered signals through optical fibers deployed in the wellbore; performing spectral domain decoupling and reconstruction based on the backscattered signals to obtain a temperature profile model; extracting heat flux residual features based on the temperature profile model to obtain well temperature feature data; performing time-frequency domain joint decomposition on the well temperature feature data to obtain temperature trend data; identifying anomalies in the temperature trend data to obtain temperature anomaly data; and locating anomaly depths based on the temperature anomaly data to obtain well anomaly depth data. This invention enables high-precision reconstruction of wellbore temperature distribution and real-time location of anomalies, significantly improving the resolution and physical consistency of well logging monitoring.
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