Research Advances in Machine Learning Techniques in Gas Hydrate Applications

H Osei, CB Bavoh, B Lal - ACS omega, 2024 - ACS Publications
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 …

Morphology identification of gas hydrate based on a machine learning method and its applications on saturation estimation

X Zhu, T Liu, S Ma, X Liu, A Li - Geophysical Journal …, 2023 - academic.oup.com
Proper identification of hydrate morphology is an essential pre-condition for the
quantification and exploitation of gas hydrate resources. However, the morphology results …

Editorial on Special Issues of Development of Unconventional Reservoirs

R Rezaee - Energies, 2022 - mdpi.com
The energy transition to renewable energy is inevitable since fossil fuels are a finite source.
In addition, there is a future need for sustainable clean energies to power our civilization …

[HTML][HTML] Spatiotemporal interpretation of three-phase saturation behaviors in gas hydrate formation and dissociation through deep learning modeling

S Kim, K Lee, M Lee, J Lee, T Ahn, JT Lim - Geoenergy Science and …, 2023 - Elsevier
This study provides an interpretation of the three-phase saturation (water, gas, gas hydrate
(GH); SW, SG, S GH) in the GH cores during GH formation and depressurization …

A Long short-term Memory Model based on a Robotic Wheelchair as a Rehabilitation Assistant

C Li, N Bourbakis - 2021 IEEE 21st International Conference on …, 2021 - ieeexplore.ieee.org
Lately several studies have shown that Autonomous Intelligent Robotic Wheelchairs (AIRW)
have offered valuable assistance to people with mobility issues. The assistance offered by …