This study has developed a simulator for efficient production of geothermal energy and geological sequestration of CO2 simultaneously. The simulator developed in this research is combined with the program optimizing well locations and injection rates in order to maximize the cumulative production of geothermal energy. Thus, the reservoir performances have been predicted for water injection and CO2 injection. The results show that injecting CO2 instead of water as a recharge fluid achieves a higher energy production rate. The direct injection of gas phase suppresses the pressure decline in a reservoir and the temperature reduction through a wellbore. In order to efficiently optimize well locations and injection rates, several optimization algorithms: Iterative Latin Hypercube Sampling (ILHS), Particle Swarm Optimization (PSO), Cauchy Mutation Particle Swarm Optimization (CMPSO), and Genetic Algorithm (GA) have been used. This program is successfully applied to the search of the optimized well locations and recharge fluid rates.
日本の火山性の酸性泉は古くから様々な観点で地化学的に調査されてきた。本稿では,酸性泉の生成過程のより良い理解と今後の利活用のために,酸性泉の溶存成分濃度を文献から編集した。酸性泉は火山性SO4型,火山性Cl型,蒸気加熱SO4型,酸性NaCl型の4つの泉質に分類した。溶存成分の多くは濃度がpHに対し負の相関を呈した。編集結果は酸性泉の一般的な地化学的情報を提供することができる。