一种实时检测井壁的方法、系统、电子设备及存储介质
By using multimodal data fusion and real-time alarm technology, the problem of data interference in downhole condition detection has been solved, enabling more accurate and reliable wellbore anomaly identification and improving the efficiency and reliability of drilling operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU WEITAI SHUZHI TECH CO LTD
- Filing Date
- 2025-09-26
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, downhole condition detection lacks an effective multimodal data association mechanism, which makes it easy for abnormal features of a single data dimension to be interfered with, resulting in high false negative and high false positive rates, thus reducing the reliability and efficiency of downhole anomaly detection.
By acquiring multimodal downhole real-time data, including cuttings and wellbore imaging data, acoustic data, electromagnetic data, temperature and pressure data, and drilling operation parameters, a pre-trained anomaly recognition model is used for streaming inference and time-series integration. Combined with expert knowledge, an annotated dataset is constructed to generate real-time alarm information.
It significantly improves the accuracy and robustness of downhole anomaly detection, reduces the high false alarm and high missed alarm rates, and provides more timely and accurate information for drilling operation decisions.
Smart Images
Figure CN120889560B_ABST