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CarbonWatch is a newly developed technology that can monitor the spatial distribution of injected CO2 in a near real-time manner from geophysical field measurement data. It provides critical information for agile decision making, to mitigate the risks like CO2 leakage and fault reactivation, as well as to improve the storage utilization efficiency. This is achieved by integrating rock physics modeling and advanced machine learning algorithms. The workflow built within CarbonWatchTM has broad applicability for subsurface monitoring of pore fluid evolution associated with physical relationships and rock properties. Similar to CCS and plume migration, we predict our workflow, with minor updating, will have the ability to successfully identify evolution of the fluid pathway during geothermal production. This information can help optimize heat sweep efficiency, thereby maximizing operation economics.

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