[H-SC08] [JJ] CCUS (Carbon Dioxide Capture, Utilization, and Storage) for Climate Mitigation

[HSC08-02] Automatic optimization for well placement for large-scale geologic CO2 storage

*MIYAGI ATSUHIRO¹, HAJIME YAMAMOTO¹, Ziqiu Xue² (1.Taisei Corporation , 2.Research Institute of Innovative Technology for the Earth )

Keywords:Carbon dioxide capture and storage, Optimisation, Reservoir Simulation, TOUGH2

Carbon dioxides capture and storage (CCS) is a viable technique for reducing amount of CO2 emitted to the atmosphere by injecting captured CO2 into underground reservoirs. When we consider a large scale CCS with more than 1Mt/y injection rate, the injection has to be processed efficiently and safely keeping reservoir pressure at an allowable level. One of the promising solutions is to employ pressure relief wells to reduce reservoir pressure by producing formation water. However, a huge number of reservoir simulations would be required to determine an optimum placement of the relief wells such as the number of wells and location. Therefore, automatic and efficient optimization methods that can reduce number of reservoir simulations and obtain beneficial solution will be essential. In this study, we developed a tool for efficient and automatic optimization by combining a commercial general-purpose optimizer HEEDS with a multiphase fluid flow simulator TOUGH2/TOUGHREACT. Users can select a variety of optimizers and will be benefited from massively parallel computation that can largely reduce computational time of each simulation. The tool was applied to well placement problems on reservoir models having homogeneous and heterogeneous permeability. The performance of a couple of optimizers (i.e. generic algorithm, particle swarm optimization, simulated annealing) were investigated and demonstrated through the applications