This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
An Initial Approach of Multiple Linear Regression in CO2-water Relative Permeability Prediction for Carbon Storage Projects
Downloads
Supplementary Files
Authors
Abstract
This work discusses the feasibility of multiple linear regression in predicting water/CO2 relative permeability using training and testing datasets from two nearby wells, separately, of the Lower Cretaceous Lakota Sandstone, Jurassic Hulett Sandstone, and Pennsylvanian Minnelusa Formation at the Dry Fork Station site. The outcome is promising as the predicted and measured relative permeability data are decently comparable. Yet, whether this approach could be generally applicable needs more delicate models and larger training datasets to be determined.
DOI
https://doi.org/10.31223/X5112T
Subjects
Earth Sciences
Keywords
CCUS, relative permeability, supervised learning
Dates
Published: 2024-06-28 02:53
Last Updated: 2024-06-28 09:53
License
CC-BY Attribution-NonCommercial 4.0 International
Additional Metadata
Conflict of interest statement:
None
There are no comments or no comments have been made public for this article.