Modeling fluid dynamics and material behavior across scales

In industries such as fuel cell development and oil & gas exploration, accurately modeling relative permeability, i.e. the ability of fluids to move through porous materials, is essential for enhancing efficiency, performance, and resource recovery. However, challenges like limited resolution in 3D imaging resolution, scale-crossing effects, and the need to integrate both resolved and unresolved data make it difficult to fully understand material behavior. This is where Upscaling is becomes essential.

The GeoApp enables the combination of micro-scale and macro-scale data to generate accurate, actionable insights across different project scales. It is specifically designed to bridge the gap between small-scale material details and large-scale performance predictions, whether optimizing fuel cell components such as Gas Diffusion Layers (GDL) and Microporous Layers (MPL) or improving reservoir simulations in the oil and gas industry.

• Maximize Performance: In both, fuel cell technology or oil and gas exploration, improved permeability modeling enhances efficiency, output, and recovery rates. 
• Work Across Scales: Data from microstructural analysis to larger-scale reservoir modeling are integrated without losing essential details.
• Accurate Predictions: Delivers reliable, real-time insights into material and fluid behavior, supporting advanced development and optimized production.
• Versatile and Scalable: Suitable for everything from small-scale experiments to large industrial applications, the GeoApp adapts to a wide range of project requirements.

Overcome limitations in 3D imaging by incorporating both resolved and unresolved data. Capture microstructural details accurately while modeling fluid flow behavior at larger scales.

Use upscaling methods that retain important features across different levels, preserving key interactions between microstructures and large-scale performance.

Gain deeper insight into the complex interactions between Gas Diffusion Layers (GDL) and Microporous Layers (MPL) and their impact on gas flow and water management in fuel cells.

More accurate predictions of fuel cell efficiency, performance, and durability become possible by combining the permeability characteristics of both layers.

• Challenge: Achieving the optimal balance between gas flow and water retention in fuel cell components.
• Solution: the GeoApp enables simultaneous analysis of GDL and MPL layers, improving gas distribution and water management, leading to enhaced fuel cell efficiency and extended operational lifetime.

Accurately model complex rock formations such as carbonates by integrating high-resolution and low-resolution data to enhance well productivity and resource extraction.

Simulate and predict multiphase fluid flow (oil, gas, and water) through reservoirs to ensure efficient use of each well.

• Challenge: Modeling heterogeneous reservoirs and complex carbonates where fine-scale structures and large-scale behavior must be considered together.
• Solution: Integrate resolved and unresolved data across scales to build precise reservoir models that predict fluid flow accurately and support maximum resource recovery.

Accurately determine full-scale relative permeability by combining unresolved porous media data with resolved material properties.

• Challenge: Modeling cross scale effects when certain porous phases are not fully resolved (e.g., insulating bricks, membranes, or polymer materials)
• Solution: Apply upscaling techniques to incorporate data from unresolved phases into the full-scale model.