3Dプリントフラクチャーネットワークを用いた流路構造推定と温度変化予測の検証

抄録

Reinjection of wastewater from geothermal power plants has been standard in geothermal development. Since reinjected water, however, may cool production areas, assessment of injected-water flow within subsurface structures is required. Suzuki et al. (2022) successfully validated an estimation of flow-path surface areas with long-term temperature data by thermal breakthrough experiments using a fracture structure created by a 3D printer. In this study, we improved their experiment to fit with the assumption of the mathematical model in the estimation method. As a result, we could improve the experimental setup and verified the estimation and prediction of future temperature change based on short-term temperature data.