Chapter 4: Introduction to Machine Learning in the Oil and Gas Industry

Patrick BangertArtificial Intelligence Team, Samsung SDSA, San Jose, CA, United Statesalgorithmica technologies GmbH, Küchlerstrasse 7, Bad Nauheim, Germany


This chapter will attempt to provide an overview over some of the practical applications that machine learning has found in oil and gas. The aim of the chapter is twofold: First, it is to show that there are many applications that are realistic and have been carried out on real-world assets, that is, machine learning is not a dream. Second, the status of machine learning in oil and gas is in its early days as the applications are specialized and localized. It must be stated clearly that most of the studies done, ...

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