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Machine learning and petroleum engineering

By Tamtchoun, Lionel Boudouin

Product Image: Machine learning and petroleum engineering

Machine learning and petroleum engineering

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Description
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.
Product details
Binding:
Paperback
Number of Pages:
100
Release Date:
2025-06-17
Publication Date:
2025-06-17
Publisher:
Our Knowledge Publishing
Languages:
Original: English
ISBN10:
6208953073
ISBN13:
9786208953072
GPSR Manufacturer Reference:
[email protected]
Weight:
167 g
Height:
150 cm
Width:
220 cm
Thickness:
6 cm
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