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

Thermal characteristics and removal mechanism of high energy plasma jet rock-breaking

Comparative analysis of rock breakage characteristics and failure mode on conventional and conical PDC cutter cutting carbonate

Experimental study of microscopic oil production and CO2 storage in low-permeable reservoirs

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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. Standards and methods for dent assessment and failure prediction of pipelines: A critical review

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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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