Applications of Data Science Methods in Petroleum Geochemistry: Current State

This paper considers the relevance of applying Data Science methods in petroleum geochemistry. To investigate this issue, a methodology for searching, gathering and analyzing scientific papers published in the last decade has been developed and successfully applied. The study reveals a growing interest in integrating Data Science methodology into petroleum geochemistry. This article also presents specific examples of publications found, identifies key “problems” hindering the widespread adoption of Data Science in geochemistry (including the need for result verification, shortage of qualified specialists, issues regarding access to data and negative sentiment towards the application of new methods), and proposes promising ideas for further use of Data Science methods to address challenges presented by organic geochemistry, such as geological assistants, open access geological and geochemical databases and specialized software.