Oil Field Optimization

Name: Oil Field Optimization
Brand: Scholars' Press
SKU: 9783639708622
Price: 1180 CZK
Availability: InStock

Optimization and Machine Learning Approaches

Autor: Hyokyeong Lee

Jazyk:

Vazba: Brožovaná

Vydavatel: Scholars' Press

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 180 Kč

A major task of every oil company is oil field optimization, i.e. maximizing oil production and redu...

Informace o knize

Autor

Hyokyeong Lee

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2014

Stránek

120

EAN

9783639708622

ISBN

3639708628

Enbook ID

06994618

Vydavatel

Scholars' Press

Hmotnost

186

Rozměry

152 x 229 x 7

Kompletní popis

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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Oil Field Optimization

Optimization and Machine Learning Approaches

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také