HR: 09:45h
AN: H51J-08 INVITED     [Abstracts]
TI: Autonomic Oil Reservoir Optimization on the Grid
AU: * Parashar, M
EM: parashar@caip.rutgers.edu
AF: Rutgers Univesity, Department of Electrical and Computer Engineering, Piscataway, NJ 08854 United States
AB: The emerging Grid infrastructure and its support for seamless and secure interactions is enabling a new generation of autonomic applications where the application components, Grid services, resources, and data interact as peers to manage, adapt and optimize themselves and the overall application. This talk presents one such application that uses distributed services and data to enable the autonomic optimization of an oil reservoir. The adequate location of wells in oil and environmental applications has a significant economical impact on reservoir management. However, the determination of optimal well locations is both challenging and computationally expensive. The overall goal of this research is to use the emerging Grid infrastructure to realize an autonomic self-optimizing reservoir framework. In this talk, I will present an autonomic Grid middleware substrate to enable the use optimization algorithms, coupled with reservoir simulators and an economic model to find the optimal solution for the well placement problem.
UR: http://www.caip.rutgers.edu/~parashar
DE: 1805 Computational hydrology
DE: 1857 Reservoirs (surface)
SC: Hydrology [H]
MN: Fall Meeting 2005