Research on data fusion algorithm for CO2 leakage monitoring in CCUS storage environment
To further explore how to improve the operational quality of CCUS storage CO2 project,starting from the perspective of impro-ving data monitoring level,combined with the actual project characteristics and needs,first integrated sensor technology,data communi-cation technology,etc.,and built a CO2 leakage monitoring data system for CCUS storage environment.Then,in order to improve the quality of system operation,a Kalman filtering data fusion algorithm was designed to minimize data measurement errors and achieve more accurate data monitoring.From the on-site experimental testing results,it can be seen that the established data monitoring system can a-chieve more accurate monitoring,and it is expected to have potential application value in subsequent work.
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