一种分布式光纤温度测井监测方法及系统
By combining spectral domain decoupling reconstruction and heat flux residual feature extraction with time-frequency domain joint decomposition and 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.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- QINGDAO ZITN MICROELECTRONICS CO LTD
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing distributed fiber optic temperature logging technology suffers from discontinuous and unreliable inversion results in wellbore temperature field measurement, especially in the transition zone or abnormal section of the well section where it is difficult to accurately identify temperature anomalies.
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, anomalies in temperature trend data are identified and located through a multi-scale heat conduction constraint model, thereby improving the monitoring sensitivity and location accuracy of temperature logging.
It significantly improves the accuracy and robustness of temperature logging, enabling the identification of subtle thermal anomaly signals, dynamic judgment of various temperature evolution patterns, and precise location of abnormal depth sections in the wellbore.
Smart Images
Figure CN122129247B_ABST