Session outline
| Solid Earth Sciences (S) | ||
|---|---|---|
| Session Sub-category | Complex & General(CG) | |
| Session ID | S-CG54 | |
| Title | Bridging Pore to Reservoir Scales: Advances in AI, Theory, Measurement, Simulation of Flow&Transport | |
| Short Title | Bridging Pore to Reservoir Scale Physics | |
| Main Convener | Name | Kazuki Sawayama |
| Affiliation | Institute for Geothermal Sciences, Graduate School of Science, Kyoto University | |
| Co-Convener 1 | Name | Behzad Ghanbarian |
| Affiliation | University of Texas at Arlington | |
| Co-Convener 2 | Name | Kazuya Ishitsuka |
| Affiliation | Kyoto University | |
| Co-Convener 3 | Name | Sho Ogata |
| Affiliation | The University of Osaka | |
| Session Language |
E |
|
| Scope |
Flow and transport through porous and fractured media are fundamental to many challenges in earth science and geological engineering. Yet, capturing the governing physics across scales, from pores to reservoirs, remains a formidable task due to complex heterogeneity, nonlinear processes, and scale-dependent behavior. This session invites contributions that advance our predictive understanding of porous and fractured systems through innovative use of imaging, theory, simulation, and artificial intelligence. We particularly welcome studies that bridge scales, address heterogeneity, quantify uncertainty, and demonstrate applications to real-world systems, such as hydrothermal/enhanced geothermal energy, groundwater, soils, energy materials, hydrocarbon production and subsurface storage. Topics of interest include (but are not limited to): - Pore-scale imaging and simulation of flow, transport, and other physical processes (Digital Rock Physics) - Upscaling/homogenization/multiscale theoretical frameworks - AI-based surrogate modeling and discovery - Coupled processes (thermal, mechanical, hydraulic, chemical, biological) across scales - Validation, uncertainty quantification, and comparison with experiments or field data - Application domains: geothermal/volcanism, groundwater, environmental remediation, carbon sequestration, energy materials, etc. |
|
| Presentation Format | Oral and Poster presentation | |
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 27 AM1 | |||
| 9:00 - 9:15 | SCG54-01 | A new theoritical model for permeability of rough-walled microfractures | Kazuki Sawayama |
| 9:15 - 9:30 | SCG54-02 | Pore-Scale Reactive Transport Modeling of Mechanical Weakening in Hydrothermally Altered Basalt: A Lattice Boltzmann Approach | Ahmad Wadi Muntashir |
| 9:30 - 9:45 | SCG54-03 | Experimental evaluation of evolution in permeability of granite fracture induced by water–rock geochemical reactions under subcritical-supercritical geothermal conditions | Sho Ogata |
| 9:45 - 10:00 | SCG54-04 | Fourier Neural Operator Surrogate Model for Robust and Fast Modeling in Geothermal Reservoirs | Ryota Takemura |
| 10:00 - 10:15 | SCG54-05 | Machine Learning Surrogate Modeling of Numerical Simulations for Fault-Controlled Geothermal Reservoirs | Nazir Mafakheri Bashmagh |
| 10:15 - 10:30 | SCG54-06 | Numerical experiments of crack closure and its influence on elastic and electrical properties | Tohru Watanabe |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 27 PM3 | ||
| SCG54-P01 | Role of Subsurface Thermal Heterogeneity in Optimizing Borehole Thermal Energy Storage Performance | Liangping Li |
| SCG54-P02 | Percolation threshold and backbone fraction of three-dimensional networks of circular cracks | Yoshiya Usui |
| SCG54-P03 | Atomistic Elucidation of CO2-Water Interfacial Properties via Machine Learning Molecular Dynamics | Masami Uchida |
| SCG54-P04 | Refining 3D digital rock using Super-Resolution Generative Adversarial Networks: application to Kuju volcanic lava | Kazuki Sawayama |
| SCG54-P05 | Relationship between pore microstructure and geophysical properties in Aso Volcano: Inferred from rock physical measurements. | Kazuki Sawayama |
| SCG54-P06 | Simulation of fluid flow in fractured rocks using a graph transformer neural operator and its application to characterizing effective permeability | Kazuya Ishitsuka |