Joint conditional simulations and the spectral approach for flow modeling
Joint conditional simulations and the spectral approach for flow models are given. The use of both transmissivity and heat data in a steady state two-dimensional stochastic flow problem leads to an essentially inverse problem that is very important for both flow and transport predictions. The linearized model is expanded to an iterative procedure, and the ``true'' conditional distribution at several locations is compared with the iterative solution. The problem is one with a special transfer function specified by the flow equation. In the second part of the paper, a fast Fourier transform method for generation and conditioning of two or more random fields is introduced. This procedure is very efficient.
scientific article; zbMATH DE number 597720