Application of group method of data handling and gene expression programming for predicting solubility of CO2-N2 gas mixture in brine

Author:

Lv Qichao,Zhou Tongke,Zheng Rong,Nakhaei-Kohani Reza,Riazi Masoud,Hemmati-Sarapardeh Abdolhossein,Li Junjian,Wang Weibo

Funder

China National Petroleum Corporation

Science Foundation of China University of Petroleum, Beijing

National Natural Science Foundation of China

China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference64 articles.

1. Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration;Menad;J CO2 Util,2019

2. Carbon conundrum, climate change, CO2 capture and consumptions;Abas;J CO2 Util,2014

3. Gupta M, Coyle I, Thambimuthu K. CO2 capture technologies and opportunities in Canada. 1st Canadian CC&S Technology Roadmap Workshop. 18. Citeseer. 2003:19.

4. Solubility of CO2, N2, and CO2+ N2 gas mixtures in isooctane;Zhang;J Chem Eng Data,2008

5. Hydrate phase equilibria of the guest mixtures containing CO2, N2 and tetrahydrofuran;Kang;Fluid Phase Equilib,2001

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