A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning

Title
A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning
Authors
Keywords
CO, 2, sequestration, Machine learning, Capillary pressure, Relative permeability, Parametric analysis
Journal
APPLIED ENERGY
Volume 287, Issue -, Pages 116580
Publisher
Elsevier BV
Online
2021-02-10
DOI
10.1016/j.apenergy.2021.116580

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now