Impact of molecular composition on viscosity of heavy oil: Machine learning based on semi-quantitative analysis results from high-resolution mass spectrometry

Author:

Zhao Qian-HuiORCID,Wu Jian-XunORCID,Zhou Tian-Hang,Zhao Suo-Qi,Shi QuanORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference44 articles.

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2. Nanoparticles as flow improver of petroleum crudes: study on temperature-dependent steady-state and dynamic rheological behavior of crude oils;Anto;Fuel,2020

3. The role of gas chromatography in compositional analyses in the petroleum industry;Beens;Trends Anal. Chem.,2000

4. Greedy function approximation: a gradient boosting machine;Friedman;Ann. Stat.,2001

5. Effects of asphaltene content and temperature on viscosity of Iranian heavy crude oil: experimental and modeling study;Ghanavati;Energy Fuels,2013

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