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Machine learning prediction of methane, ethane, and propane solubility in pure water and electrolyte solutions: Implications for stray gas migration modeling

Crossref DOI link: https://doi.org/10.1007/s11631-024-00680-8

Published Online: 2024-03-22

Published Print: 2024-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kooti, Ghazal

Taherdangkoo, Reza https://orcid.org/0000-0002-0290-8106
Chen, Chaofan

Sergeev, Nikita

Doulati Ardejani, Faramarz

Meng, Tao

Butscher, Christoph
Funding

Funding for this research was provided by:

Technische Universität Bergakademie Freiberg
License Information

Text and Data Mining valid from 2024-03-22

Version of Record valid from 2024-03-22
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Article History

Received: 8 January 2024

Revised: 11 February 2024

Accepted: 15 February 2024

First Online: 22 March 2024

Conflict of interest

: N/A.

: Informed consent was obtained from all individual participants involved in the study.

: All procedures performed in this study were in accordance with the ethical standards.

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