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Petroleum Geoscience

Petroleum Geoscience Journal

Petroleum Geoscience (PG) is a co-owned journal of the Geological Society of London and the European Association of Geoscientists and Engineers (EAGE

Petroleum Geoscience transcends disciplinary boundaries and publishes a balanced mix of articles that drives the science to enhance sustainable development covering all aspects of the petroleum system. The journal content reflects the international nature of the research.

PG’s sister journal, Geoenergy, welcomes submissions on subsurface geoscience and the emerging energy transition field.


Jonathan Redfern, University of Manchester, UK


Petroleum Geoscience welcomes a range of papers on themes that include:
  • Exploration, exploitation, appraisal, development and monitoring of sub-surface hydrocarbon resources.
  • Enhancing exploration efficiency, lowering technological and environmental risk, and improving hydrocarbon recovery.
  • Transferable knowledge and integration of disciplines in an applied context.
The journal publishes research and review articles, discussions and replies, thematic collections.

Petroleum Geoscience is a Plan S compliant journal.

Online in the Lyell Collection

All journal content is hosted online and accessible via the Lyell Collection (see link above). The journal publishes 4 issues per year. 

Online only and continuous publication

From 2021, the journal is published online only. Following acceptance, the accepted manuscript version of the article is made available online immediately. After completion of the production process, the final Version of Record is published directly in an issue. All accepted manuscripts and versions of record are hosted and accessible via the Lyell Collection.

The journal is abstracted and/or indexed in:
  • Current Contents
  • GeoArchive
  • Geobase
  • Geological Abstracts
  • GeoRef
  • Mineralogical Abstracts
  • Petroleum Abstracts
  • Science Citation Index

Recent Petroleum Geoscience highlights

Rock mechanical properties of immature, organic-rich source rocks and their relationships to rock composition and lithofacies

By Israa S Abu- Mahfouz, Regina Iakusheva, Thomas Finkbeiner, Joe Cartwright, and Volker Vahrenkamp

Read more in the Lyell Collection


Predicting oil field performance using machine learning programming: a comparative case study from the UK continental shelf

By Ukari Osah and John Howell

Read more in the Lyell Collection