Książka Oil Field Optimization Hyokyeong Lee

Oil Field Optimization

Optimization and Machine Learning Approaches

Autor: Hyokyeong Lee
Język: Angielski
Oprawa: Miękka
Wydawca: Scholars' Press
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
222.02
A major task of every oil company is oil field optimization, i.e. maximizing oil production and redu...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2014
strony
120
EAN
9783639708622
ISBN
3639708628
Enbook ID
06994618
Wydawca
Waga
186
Wymiary
152 x 229 x 7

Pełny opis

A major task of every oil company is oil field optimization, i.e. maximizing oil production and reducing operational cost. Knowledge about injector-producer relationships (IPRs) is crucial for optimal operation of oil fields. However, inferring IPRs has been a challenging problem due to the unknown underlying structure of oil fields, continuous change of the underlying structure over time, and the large number of wells, i.e. typically, hundreds of injection wells and hundreds of production wells. This book provides two different approaches which map the IPRs problem to a large-scale parameter estimation problem. One approach is constrained nonlinear optimization and the other is machine learning approach. The two approaches demonstrate that not only prediction accuracy but also computational efficiency can be achieved for large-scale parameter estimation problems. This book should help field engineers optimally operate oil fields and show researchers practical examples about how to apply optimization and machine learning techniques to oil field optimization.

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