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Event Type:

Applied Mathematics and Computation Seminar

Date/Time:

Friday, November 20, 2009 - 04:00

Location:

GLK 113

Event Link:

Local Speaker:

Abstract:

It is well known that flow in porous media is strongly affected by

spatial variability in the medium and is additionally subject to

uncertainties.

Using stochastic models to incorporate uncertainty and variability in

the equations that govern flow and transport in heterogeneous media

yields stochastic partial differential equations. The Monte Carlo method can be used to

find approximate solutions to these equations. We present some

Monte Carlo simulations based on Karhunen-Loeve decompositions of

stochastic processes.