Effective monitoring of geological carbon storage requires the implementation of microseismic monitoring, which relies on a surface geophone network to promptly detect microseismic events caused by CO2 injection. Recent research has identified the optimal number of seismic stations for a regular seismic network that meets budget constraints and enhances leak source localization capabilities. To develop a cost-effective monitoring strategy, we introduce a mathematical method for determining the optimal placement of sensors to enable the earliest possible alarm for microseismic events. This method minimizes the detection time and improves monitoring performance.

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