  Low oil prices have motivated energy executives to look into cost reduction
in their supply chains more seriously. To this end, a new technology that is
experimentally considered in hydrocarbon exploration is data mining. There are
two major categories of geoscientific problems in which data mining is applied:
structural geology and reservoir property-issues. This research overviews these
categories by considering a variety of interesting works in each of them. The
result is an understanding of the specific geoscientific problems studied in
the literature, along with the relative data mining methods. This way, this
work tries to lay the ground for a mutual understanding on oil and gas
exploration between the data miners and the geoscientists.
