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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine learning and petroleum engineering

Machine learning and petroleum engineering

Tamtchoun, Lionel Boudouin
Wahabou, Abdoul

Paperback

General Science

ISBN10: 6208953073
ISBN13: 9786208953072
Publisher: Our Knowledge Publishing
Published: Jun 17 2025
Pages: 100
Weight: 0.32
Height: 0.24 Width: 6.00 Depth: 9.00
Language: English
This work takes place in the context of the Volve oil field in the North Sea (Norway), and addresses the crucial problem of predicting and optimizing the productivity of oil wells. As the oil industry is strategic, it is essential to develop robust models to maximize production while minimizing costs and environmental impacts. The central objective here is to develop robust prediction models using advanced Machine Learning algorithms. More specifically, it aims to demonstrate the power of coupling Deep Learning with fluid flow simulation. In addition, the study focuses on the development of mathematical prediction models using the response surface method, while seeking to optimize well productivity parameters.

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