Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

no code implementations • 1 Oct 2020 • Nick Brown, Anna Roubickova, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton

With a general aim of decreasing the petrophysical interpretation time down from over 7 days to 7 minutes, in this paper we describe the use of mathematical models that have been trained using raw well log data, for completing each of the four stages of a petrophysical interpretation workflow, along with initial data cleaning.

BIG-bench Machine Learning Decision Making