Machine learning and petroleum engineering: Applying machine learning to oil production

Synopsis of Machine learning and petroleum engineering: Applying machine learning to oil production

«Machine learning and petroleum engineering: Applying machine learning to oil production» is the paperback essay by Lionel Boudouin Tamtchoun and Abdoul Wahabou.

The book applies machine learning to petroleum engineering, using the Volve field in the Norwegian North Sea as a case study. It focuses on predicting and optimizing well productivity through deep learning, fluid flow simulation, and the response surface method, aiming to reduce costs and environmental impact.

English edition published on June 17, 2025; ISBN 9786208953072. Associated categories are Science and Technology.

For readers interested in the application of machine learning to petroleum engineering, with the Volve field as a practical case.