Method and device for detecting carbon dioxide leakage, electronic device and computer program product

CN120199369APending Publication Date: 2025-06-24HUANENG CLEAN ENERGY RES INST +1
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Patent Information

Application Number
CN202510264344.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2025-06-24

AI Technical Summary

Technical Problem

It is difficult for the prior art to effectively detect whether there is leakage in the carbon dioxide storage area, especially in deep and shallow water environments. Traditional monitoring methods have problems such as limited detection range, poor real-time performance, high cost and complex data integration and analysis.

Method used

By obtaining the water quality data of shallow water and deep water layers in the target sealed area, data abnormality detection is performed based on the reference range preset by historical water quality data. If an abnormality is detected, the water quality data is input into the pre-trained leakage detection model to determine whether carbon dioxide leakage occurs, and the diffusion path and potential leakage point of carbon dioxide are determined based on changes in water quality data.

Benefits of technology

Accurate detection of leakage in carbon dioxide storage areas is achieved, the accuracy and real-time detection is improved, false alarms are reduced, and potential leakage points can be warned and located, thereby significantly improving the monitoring capability of safety of carbon dioxide storage.

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Abstract

The invention discloses a carbon dioxide leakage detection method and device, an electronic device and a computer program product, and relates to the technical field of carbon dioxide sequestration, the carbon dioxide leakage detection method comprises the following steps: obtaining water quality data of a target sequestration area, the target sequestration area being used for sequestration of carbon dioxide, the water quality data comprises shallow water layer data and deep water layer data of the target storage area; data anomaly detection is carried out on the water quality data based on a preset reference range, an anomaly detection result is obtained, and the preset reference range is determined based on historical water quality data of the target storage area; when it is determined that the abnormal detection result indicates that the water quality data is abnormal, the water quality data are input into a leakage detection model, a leakage detection result output by the leakage detection model is obtained, and the leakage detection model is used for detecting whether carbon dioxide leakage occurs or not. By adopting the technical scheme, the problem of how to detect whether leakage occurs in the carbon dioxide sequestration area is solved.
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