Review of biosurfactants gas hydrate promoters
Biosurfactants are promising additives for gas hydrate technology applications. They are
believed to have better eco properties than conventional kinetic hydrate promoters such as …
believed to have better eco properties than conventional kinetic hydrate promoters such as …
Unveiling the potential of CO2 hydrates in porous media: A review on kinetic modelling, molecular dynamics simulations, and machine learning
Hydrate-based CO 2 sequestration in geological sediments is a potential technique that
ensures storing CO 2 in large volumes providing huge CO 2 storage capacity. Numerous …
ensures storing CO 2 in large volumes providing huge CO 2 storage capacity. Numerous …
Research Advances in Machine Learning Techniques in Gas Hydrate Applications
The complex modeling accuracy of gas hydrate models has been recently improved owing
to the existence of data for machine learning tools. In this review, we discuss most of the …
to the existence of data for machine learning tools. In this review, we discuss most of the …
A practical hybrid machine learning method for predicting the flash point of complex ternary alcohol-based mixtures
The flash point (FP) modeling of ternary mixtures containing partially miscible regions, even
by known models, is still challenging. This work proposes a practical and easy-to-use hybrid …
by known models, is still challenging. This work proposes a practical and easy-to-use hybrid …
Predicting Natural Gas Heating Value using Supervised Machine Learning Models
SA Marfo - Ghana Mining Journal, 2024 - ajol.info
Heating value (HHV) is an essential parameter for evaluating natural gas quality. The
existence of supervised machine learning models is therefore necessary for HHV prediction …
existence of supervised machine learning models is therefore necessary for HHV prediction …