Speaker
Description
Digital rock physics provides a powerful framework for characterizing the physical properties of rock samples using computational methods. In this work, we present a set of numerically efficient solvers developed for stationary diffusion problems, enabling the computation of thermal conductivity, electrical conductivity, and permittivity from micro-CT images of rock samples.
The solvers are implemented in Fortran, are freely accessible, and designed for high-performance computing across multiple CPUs without external dependencies. This approach ensures reproducibility and scalability for a wide range of applications in digital rock physics. By leveraging detailed microstructural information from high-resolution micro-CT images, our method provides the possibility to predict transport phenomena, contributing to advancements in the understanding of rock behaviour under various physical conditions.
We will discuss the numerical implementation, performance benchmarks, and validation against experimental data. The proposed framework offers a robust, open-source solution for researchers and practitioners in geosciences.
| Country | Germany |
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