9:15 AM - 9:30 AM
[HSC05-02] A parallel scheme for accelerating optimization of well placement for geologic CO2 storage
Keywords:Carbon dioxides Capture and Storage, Well placement, Covariance Matrix Adaptation Evolution Strategy, Oakforest-PACS
In this study, we developed a new tool by combining an optimization algorithm, Covariance Matrix Adaptation Evolution strategy (CMA-ES), with a parallel reservoir simulator TOUGH2-MP. However, a few thousands of the reservoir simulations for solution candidates are usually needed to obtain an optimum solution. Thus it is often difficult to find an optimum solution within realistic time. Therefore, we implemented our optimization tool on a supercomputer (Oakforest-PACS) for reducing the computational time of optimization by running reservoir simulations for many solution candidates concurrently utilizing thousands of CPU cores in parallel. The performance of the tool was investigated and demonstrated through an optimization problem of placement of multiple wells for injection and pressure-relief on a hypothetical reservoir model with heterogeneous properties.