Accelerating and Enhancing Petrophysical Analysis with Machine Learning

Published: 06/02/2018

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Schlumberger Oilfield Services

Recent advances in data science and machine learning (ML) have brought the benefits of these technologies closer to the main stream of petrophysics. ML systems, where decisions and self-checks are made by carefully designed algorithms, in addition to executing typical tasks such as classification and regression, offer efficient and liberating solutions to the modern petrophysicist. The outline of such a system and its application in the form of a multilevel workflow to a 59-well multifield study are presented in this paper.

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