Abstract
Low oil and gas prices have motivated petroleum executives to look into cost reduction in their supply chains more seriously. To this end, a technology considered in hydrocarbon exploration is data science. There are three exploration-related geoscientific domains in which data science is applied: surface geology, structural geology and reservoir property issues. This research provides an in-depth perspective on data science applications in these domains by considering a variety of work in each of them. The result is an understanding of the specific geoscientific problems studied in the literature along with the relative data science models. This way, this work tries to lay the ground for a mutual understanding on oil and gas exploration between the data scientists and geoscientists.
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