Stochastic Methods for Flow in Porous Media
Coping with Uncertainties
- Dongxiao Zhang, Los Alamos National Laboratory, New Mexico, U.S.A.
Stochastic Methods for Flow in Porous Media: Coping with Uncertainties explores fluid flow in complex geologic environments. The parameterization of uncertainty into flow models is important for managing water resources, preserving subsurface water quality, storing energy and wastes, and improving the safety and economics of extracting subsurface mineral and energy resources.This volume systematically introduces a number of stochastic methods used by researchers in the community in a tutorial way and presents methodologies for spatially and temporally stationary as well as nonstationary flows. The author compiles a number of well-known results and useful formulae and includes exercises at the end of each chapter.
Upper level undergraduate, graduate students, scientists, and professionals in the fields of hydrology, petroleum engineering, soil physics, geological engineering, civil & environmental engineering, applied mathematics