Data underlying: A Statistical Analysis of Fluid Interface Fluctuations: Exploring the Role of Viscosity Ratio

DOI:10.4121/ba6e70f8-affa-4c60-82f0-24bff9052676.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/ba6e70f8-affa-4c60-82f0-24bff9052676
Datacite citation style:
Heijkoop, Selwin; Rieder, David; Rücker, Maja; Spurin, Catherine; Moura, Marcel (2025): Data underlying: A Statistical Analysis of Fluid Interface Fluctuations: Exploring the Role of Viscosity Ratio. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/ba6e70f8-affa-4c60-82f0-24bff9052676.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2025-02-12 (latest)
version 1 - 2024-09-16

Here, the scripts and data for the article "A Statistical Analysis of Fluid Interface Fluctuations: Exploring the Role of Viscosity Ratio" in Entropy are provided.

In this work, the dependency of interface fluctuations depending on the viscosity ratio between the two immiscible phases is investigated experimentally. Three time series of 3D images of coinjected flow through a porous carbonate are analyzed, which where acquired at the TOMCAT beamline of the Swiss Light Source. This repository provides the python scripts used for segmentation of the data, analysis of the ganglia size distributions, occupation analysis and pore network labeling. Additionally, the extracted data concerning the temporal evolution of the local occupation is provided, as well as the scripts to generate the published figures.

History

  • 2024-09-16 first online
  • 2025-02-12 published, posted

Publisher

4TU.ResearchData

Format

python scripts; jupyter notebooks; csv-files

Funding

Organizations

TU Eindhoven, Department of Mechanical Engineering
Eindhoven Institute of Renewable Energy Systems
Stanford University, Energy Science & Engineering
The Njord Centre, PoreLab, University of Oslo, Department of Physics
Max Planck Institute for Polymer Research

DATA

Files (3)