Cantitate/Preț
Produs

Oil Field Optimization

Autor Hyokyeong Lee
en Limba Engleză Paperback – 8 feb 2014
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.
Citește tot Restrânge

Preț: 33829 lei

Preț vechi: 42286 lei
-20% Nou

Puncte Express: 507

Preț estimativ în valută:
6474 6767$ 5471£

Carte tipărită la comandă

Livrare economică 07-21 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783639708622
ISBN-10: 3639708628
Pagini: 120
Dimensiuni: 152 x 229 x 7 mm
Greutate: 0.19 kg
Editura: Scholars' Press

Notă biografică

Hyokyeong Lee received her Ph.D. in computer science from University of Southern California in 2010. Her research interests are machine learning, optimization, and their applications to various fields including petroleum engineering. Before her Ph.D. study, she was a software engineer in the wireless communications division in Samsung Electronics.