Application of an artificial neural network in predicting the effectiveness of trapping mechanisms on CO2 sequestration in saline aquifers-Reference-Cited by-同舟云学术

Application of an artificial neural network in predicting the effectiveness of trapping mechanisms on CO2 sequestration in saline aquifers

Published:2020-07 Issue: Volume:98 Page:103042
ISSN:1750-5836
Container-title:International Journal of Greenhouse Gas Control
language:en
Short-container-title:International Journal of Greenhouse Gas Control

Author:

Song Youngsoo,Sung Wonmo,Jang Youngho,Jung Woodong

Funder

Human Resources Development program

Energy Efficiency & Resources program

Korea Institute of Energy Technology Evaluation and Planning

Korea government Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,General Energy,Pollution

Reference59 articles.

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5. A field-scale investigation of residual and dissolution trapping of CO2 in a saline formation in Western Australia;Baz;Int. J. Greenh. Gas Control,2016

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