Topological Data Analysis for Rock Structures and Structure-Controlled Flow Experiments
To capture the complex structure of rocks and other materials, we quantitatively extract important structural information related to flow using topological data analysis. In addition, by using 3D printers and microfabrication techniques, we create accurate structural models, which have controlled and known structures. The 3D models are designed to improve our understanding of fluid flow processes through a combination of lab experimentation and numerical simulation, enabling us to find new relationships between "structure" and "flow". In addition, we are developing numerical simulation methods for describing development of new reservoirs using supercritical fluids and for understanding mechanisms controlling fracture formation under supercritical temperature conditions.
Quantification of structures by persistent homology analysis
Design of fracture network
Direct flow simulation
Flow experiment using a 3D-printed fracture network
Design of Sustainable Geo-Energy Systems
Tracer test in geo-energy systems
Geothermal power generation can be carried out more sustainably by creating a recirculation operation in which water used for power generation is returned to the subsurface. The effectiveness of different recirculation strategies depends on the subsurface structure and flow connectivity between the wells that return fluid to the subsurface and the wells that produce hot geothermal fluid for power generation. In this study, we are developing methods for estimating the subsurface structure and well connectivity using results of tracer tests for flow evaluation and for optimally designing a sustainable water recirculation operation. This includes proposing new tracer testing methods using nano- and microparticles. Our optimization and estimation workflows incorporate tracer and thermal transport modeling, quantitative evaluation of uncertainty, model error estimation, and machine learning.
Uncertainty quantification
Flow experiment with particle tracers in rock structures
Optimization of Resource Utilization through Dialogue and Data Visualization
In order to achieve a resilient society that is prepared for risks of disasters and climate change, it is necessary to optimize utilization of local resources in local communities. In this research, we propose new lifestyles for staying in hot-spring areas and prepare opportunities for people to change their consciousness and behavior toward the co-creation of resource utilization processes. We are also developing methods for visualizing public opinions and social acceptance to promote interaction within and outside local communities through questionnaire surveys and social media analysis.
Proposal of a life style in onsen area
Dialogue toward co-creation
Dialogue workshop for community building