Artificial Intelligence-based Modeling of Interfacial Tension for Carbon Dioxide Storage
Artificial Intelligence-based Modeling of Interfacial Tension for Carbon Dioxide Storage

Amir Hossein Hosseini; Hossein Ghadery-Fahliyany; David Wood; Abouzar Choubineh

Volume 8, Issue 1 , January 2020, , Pages 83-92

https://doi.org/10.22108/gpj.2020.119977.1069

Abstract
  A key variable for determining carbon dioxide (CO2) storage capacity in sub-surface reservoirs is the interfacial tension (IFT) between formation water (brine) and injected gas. Establishing ...  Read More
Transparent Machine Learning Algorithm Offers Useful Prediction Method for Natural Gas Density
Transparent Machine Learning Algorithm Offers Useful Prediction Method for Natural Gas Density

David Wood; Abouzar Choubineh

Volume 6, Issue 2 , October 2018, , Pages 1-14

https://doi.org/10.22108/gpj.2018.112015.1035

Abstract
  Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of ...  Read More
Plant-wide Simulation of an Integrated Zero-Emission Process to ‎Convert Flare Gas to Gasoline
Plant-wide Simulation of an Integrated Zero-Emission Process to ‎Convert Flare Gas to Gasoline

Mostafa Jafari; Sadaf Ashtab; Alireza Behroozsarand; Kamran Ghasemzadeh; David A Wood

Volume 6, Issue 1 , January 2018, , Pages 1-20

https://doi.org/10.22108/gpj.2018.111048.1028

Abstract
  The Gas to Gasoline (GTG) process includes conversion of natural, flare, and associated gas into synthetic fuels that can be compositionally upgraded and adjusted into different useful ...  Read More