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Other literature type . 2025
License: CC BY
Data sources: ZENODO
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Stochastic Analysis of Shear-Thinning Fluid Flow and Heat Transport in Geological Fractures

Authors: Lenci, Alessandro;

Stochastic Analysis of Shear-Thinning Fluid Flow and Heat Transport in Geological Fractures

Abstract

This record contains the presentation delivered at InterPore 2025, titled "Stochastic Analysis of Shear-Thinning Fluid Flow and Heat Transport in Geological Fractures". The study investigates the impact of fracture heterogeneity and shear-thinning fluid rheology on coupled flow and thermal transport using a Monte Carlo-based stochastic framework. A custom two-dimensional numerical model was developed to simulate multiple realizations, incorporating uncertainties in fracture geometry and fluid properties. The model's results were validated against COMSOL Multiphysics simulations and show that adjusting polymer concentration effectively modulates nonlinear flow behavior and heat transport efficiency. The findings contribute to improving subsurface characterization and optimizing the design of heat tracer tests using engineered fluids. This work is relevant for environmental remediation, geothermal energy, and enhanced oil recovery applications. Reference:Lenci A., Méheust Y., Klepikova M., Tartakovksy D.M., Di Federico V. (2025). Stochastic Analysis of Shear-Thinning Fluid Flow and Heat Transport in Geological Fractures. Presented at InterPore 2025.

Keywords

Lubrication theory, Shear-thinning Fluids, Geological Fractures, Fractured Media, Heterogeneity, Monte Carlo Method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green