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Journal Articles

A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons

Zeeshan Tariq, Amjed Hassan, Umair Bin Waheed, Mohamed Mahmoud, Dhafer Al-Shehri, Abdulazeez Abdulraheem, Esmail M. A. Mokheimer
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 092801.
Paper No: JERT-21-1396
https://doi.org/10.1115/1.4051259
Published Online: June 9, 2021
View Article titled, A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons
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Topics: Artificial neural networks, Density, Machine learning, Natural gas, Pressure, Errors, Temperature, Modeling, Molecular weight