Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage

Bemani, Amin; Baghban, Alireza; H. Mohammadi, Amir; Østebø Andersen, Pål

doi:10.1016/j.jngse.2020.103204

Public

Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage

Published in Journal of Natural Gas Science and Engineering • Feb 12, 2020

Authors:

Amin Bemani

Alireza Baghban

Amir H. Mohammadi

Abstract

Carbon dioxide enhanced shale gas recovery depends strongly on adsorption properties of carbon dioxide and methane. In this work, Least Squares Support Vector Machine (LSSVM) optimized by Particle Swarm Optimization, has been proposed to learn and then predict adsorption capacity of methane and carb...

Subject

Methane

Carbon dioxide

Adsorption

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!