Applications of data science methods in petroleum geochemistry: current state

This paper explores the relevance of applications of Data Science methods in petroleum geochemistry. In order to investigate this topic, a methodology for searching, gathering and analyzing scientific papers published in the last decade was developed and successfully applied. The study reveals a growing interest in integrating Data Science methodology into petroleum geochemistry. The article also presents specific examples of found publication, identifies key “problems” hindering widespread Data Science adoption in geochemistry (including the need for result verification, shortage of qualified specialists, issues regarding access to data and negative sentiment towards new methods), and proposes promising ideas for further utilization of data science methods to tackle challenges presented by organic geochemistry (geological assistants, open access geological and geochemical databases and specialized digital toolkits and software.