Accessibility navigation


Storm prediction research and its application to the oil/gas industry

Froude, E. S. R. and Gurney, R. J. (2010) Storm prediction research and its application to the oil/gas industry. In: Management of Weather and Climate Risk in the Energy Industry. NATO Science for Peace and Security Series C: Environmental Security. Springer, pp. 241-252. ISBN 9789048136902

Full text not archived in this repository.

To link to this article DOI: 10.1007/978-90-481-3692-6_16

Abstract/Summary

The accurate prediction of storms is vital to the oil and gas sector for the management of their operations. An overview of research exploring the prediction of storms by ensemble prediction systems is presented and its application to the oil and gas sector is discussed. The analysis method used requires larger amounts of data storage and computer processing time than other more conventional analysis methods. To overcome these difficulties eScience techniques have been utilised. These techniques potentially have applications to the oil and gas sector to help incorporate environmental data into their information systems

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical and Physical Sciences > Environmental Systems Science Centre
ID Code:1622
Uncontrolled Keywords:Storm tracks - ensemble prediction system - eScience - oil and gas industry
Additional Information:Proceedings of the NATO Advanced Research Workshop on Weather/Climate Risk Management for the Energy Sector, Santa Maria di Leuca, Italy, 6-10 October 2008
Publisher:Springer

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation