Work

Predicting the Solubility of H2-CH4 Mixtures in Brine Using Machine Learning

Year: 2026

Type: conference-paper

Source: IPTC Summit on AI for the Energy Industry

DOI: 10.2523/iptc-25195-ms

Authors: Dilyara Sagandykova, Shams Kalam, Peyman Pourafshary, Masoud Riazi

Institution: Nazarbayev University

Language: English

Topic: Phase Equilibria and Thermodynamics

Subfield: Physical and Theoretical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W7123370397

FWCI:

Cites: 34

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Related to: 10