Oil Field Optimization: Optimization and Machine Learning Approaches

Oil Field Optimization: Optimization and Machine Learning Approaches

von Hyokyeong Lee
Taschenbuch - 9783639708622
59,90 €
  • Versandkostenfrei
  • Hinweis: Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)
  • Hinweis: Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)

Autorenfreundlich Bücher kaufen?!

Beschreibung

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.

Details

Verlag SPS
Ersterscheinung Februar 2014
Maße 220 mm x 150 mm x 7 mm
Gewicht 195 Gramm
Format Taschenbuch
ISBN-13 9783639708622
Auflage Nicht bekannt
Seiten 120

Schlagwörter