Oil Field Optimization

Name: Oil Field Optimization
Brand: Scholars' Press
SKU: 9783639708622
Price: 54.71 EUR
Availability: InStock

Optimization and Machine Learning Approaches

Автор: Hyokyeong Lee

Език:

Корици: С меки корици

Издател: Scholars' Press

Наличност: Външен склад

Изпращаме след 5-8 дни

54.71 € 107.00 лв

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

Информация за книгата

Автор

Hyokyeong Lee

Език

Английски език

Корици

Книга - С меки корици

Издадена

2014

страници

120

EAN

9783639708622

ISBN

3639708628

Enbook ID

06994618

Издател

Scholars' Press

Теглоt

186

Размери

152 x 229 x 7

Пълно описание

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

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също