Quantifying the Upscaling Footprint from Pore to Darcy Scale via Pore Network Modelling: An Analysis of Microscopic Structure and Its Macroscopic Implications

Publikationen: Thesis / Studienabschlussarbeiten und HabilitationsschriftenMasterarbeit

Bibtex - Download

@mastersthesis{22e5c1165e4543c186460b1e24a99b35,
title = "Quantifying the Upscaling Footprint from Pore to Darcy Scale via Pore Network Modelling: An Analysis of Microscopic Structure and Its Macroscopic Implications",
abstract = "This thesis addresses the challenge of upscaling in porous media, a critical issue where the accurate prediction of continuum behavior depends on pore-scale characteristics. By employing statistical modelling, the study thoroughly investigates the upscaling footprint from pore to Darcy scale for homogeneous pore network models. Through detailed property scaling, comprehensive REV relationships that quantify the impact of microscale size and connectivity heterogeneities on continuum behavior are developed. Model-agnostic analysis concurrently reveals complex non-linear dependencies between pore-scale features and emergent flow behavior. These insights highlight the intricate nature of upscaling and underscore the necessity for precise microscale characterization to inform effective macroscopic predictions.",
keywords = "Upskalierung, Por{\"o}se Medien, Darcy-Skala, Porennetzwerkmodellierung, REV, Heterogenit{\"a}t, Statistische Modellierung, Variationskoeffizient, Upscaling, Porous media, Darcy scale, Pore network modeling, REV, Heterogeneity, Statistical modeling, Coefficient of variation",
author = "Rusmir Helja",
note = "no embargo",
year = "2024",
doi = "10.34901/mul.pub.2025.004",
language = "English",
school = "Montanuniversitaet Leoben (000)",

}

RIS (suitable for import to EndNote) - Download

TY - THES

T1 - Quantifying the Upscaling Footprint from Pore to Darcy Scale via Pore Network Modelling

T2 - An Analysis of Microscopic Structure and Its Macroscopic Implications

AU - Helja, Rusmir

N1 - no embargo

PY - 2024

Y1 - 2024

N2 - This thesis addresses the challenge of upscaling in porous media, a critical issue where the accurate prediction of continuum behavior depends on pore-scale characteristics. By employing statistical modelling, the study thoroughly investigates the upscaling footprint from pore to Darcy scale for homogeneous pore network models. Through detailed property scaling, comprehensive REV relationships that quantify the impact of microscale size and connectivity heterogeneities on continuum behavior are developed. Model-agnostic analysis concurrently reveals complex non-linear dependencies between pore-scale features and emergent flow behavior. These insights highlight the intricate nature of upscaling and underscore the necessity for precise microscale characterization to inform effective macroscopic predictions.

AB - This thesis addresses the challenge of upscaling in porous media, a critical issue where the accurate prediction of continuum behavior depends on pore-scale characteristics. By employing statistical modelling, the study thoroughly investigates the upscaling footprint from pore to Darcy scale for homogeneous pore network models. Through detailed property scaling, comprehensive REV relationships that quantify the impact of microscale size and connectivity heterogeneities on continuum behavior are developed. Model-agnostic analysis concurrently reveals complex non-linear dependencies between pore-scale features and emergent flow behavior. These insights highlight the intricate nature of upscaling and underscore the necessity for precise microscale characterization to inform effective macroscopic predictions.

KW - Upskalierung

KW - Poröse Medien

KW - Darcy-Skala

KW - Porennetzwerkmodellierung

KW - REV

KW - Heterogenität

KW - Statistische Modellierung

KW - Variationskoeffizient

KW - Upscaling

KW - Porous media

KW - Darcy scale

KW - Pore network modeling

KW - REV

KW - Heterogeneity

KW - Statistical modeling

KW - Coefficient of variation

U2 - 10.34901/mul.pub.2025.004

DO - 10.34901/mul.pub.2025.004

M3 - Master's Thesis

ER -