Petroleum Science

Open access

ISSN: 1995-8226

Petroleum Science

Open access

Petroleum Science is a peer-reviewed English journal owned by China University of Petroleum-Beijing. It was founded in 2004 and switched into open access since 2015, now it is published in collaborati...

Petroleum Science is a peer-reviewed English journal owned by China University of Petroleum-Beijing. It was founded in 2004 and switched into open access since 2015, now it is published in collaboration with KeAi. Petroleum Science publishes the latest and most significant advances in fundamental theoretical and applied research of the petroleum and petrochemical fields. It includes:

  1. petroleum geology and geophysics

  2. petroleum engineering and mechanics

  3. petrochemistry and chemical engineering

  4. petroleum economics and management.

Petroleum Science is committed to encourage communication of novel and significant research results across the entire spectrum of petroleum science and engineering, and build a high-level international platform for academic exchange in petroleum and petrochemical fields. Petroleum Science has established excellent reputation and is growing into a highly influential, leading journal in global petroleum area.

Editorial Board

Extraction of ADCIGs in viscoelastic media based on fractional viscoelastic equations

Study on the mass transfer characteristics of hydrogen in heavy oil by a modified dynamic pressure step method

Synergistic effect of modified ethylene-vinyl acetate and asphaltenes on improving the flow properties of model oil

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1. Synthetic polymers: A review of applications in drilling fluids

2. Crude oil wax: A review on formation, experimentation, prediction, and remediation techniques

3. Recent developments in high-performance Nafion membranes for hydrogen fuel cells applications

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News

Petroleum Science 2023 impact factor: 6.0

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Petroleum Science CiteScore 2023 Announced: 7.7

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Petroleum Science Latest impact factor: 5.6

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Call for Papers

Special Issue on InterPore2022: Uncertainty quantification and machine learning in porous media

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Article Collections

AI application in Petroleum Science

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