Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs

07/27/2023
by   Alexander Straub, et al.
0

We developed a new approach comprised of different visualizations for the comparative spatio-temporal analysis of displacement processes in porous media. We aim to analyze and compare ensemble datasets from experiments to gain insight into the influence of different parameters on fluid flow. To capture the displacement of a defending fluid by an invading fluid, we first condense an input image series to a single time map. From this map, we generate a spatio-temporal flow graph covering the whole process. This graph is further simplified to only reflect topological changes in the movement of the invading fluid. Our interactive tools allow the visual analysis of these processes by visualizing the graph structure and the context of the experimental setup, as well as by providing charts for multiple metrics. We apply our approach to analyze and compare ensemble datasets jointly with domain experts, where we vary either fluid properties or the solid structure of the porous medium. We finally report the generated insights from the domain experts and discuss our contribution's advantages, generality, and limitations.

READ FULL TEXT

page 1

page 3

page 4

page 5

page 6

page 7

page 8

page 9

research
01/26/2023

Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment

We study the question of how visual analysis can support the comparison ...
research
05/16/2020

kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling

Analysing and learning from spatio-temporal datasets is an important pro...
research
05/15/2017

Visualization of Feature Separation in Advected Scalar Fields

Scalar features in time-dependent fluid flow are traditionally visualize...
research
02/08/2022

Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings

The usage of deep neural networks (DNNs) for flow reconstruction (FR) ta...
research
05/25/2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO_2 Storage with Spatio-temporal CNNs

4D seismic imaging has been widely used in CO_2 sequestration projects t...
research
03/27/2020

SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations

Compact visual summaries of spatio-temporal movement data often strive t...
research
05/02/2022

Visualization of Model Parameter Sensitivity along Trajectories in Numerical Weather Predictions

Numerical weather prediction models rely on parameterizations for subgri...

Please sign up or login with your details

Forgot password? Click here to reset