Joint conditional simulations and the spectral approach for flow modeling
type: Item
instance of: scholarly article
title: Joint conditional simulations and the spectral approach for flow modeling
zbMATH Open document ID: 0805.76048
DOI: 10.1007/BF01581391
author: L. Hughson
author: Allan Gutjahr
author: Bryan Bullard
author: Sean Hatch
published in: Stochastic Hydrology and Hydraulics
publication date: 1994-06-29T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 76M25
Mathematics Subject Classification ID: 76M35
zbMATH DE Number: 597720
zbMATH Keywords: transmissivity
zbMATH Keywords: two-dimensional stochastic flow
zbMATH Keywords: inverse problem
zbMATH Keywords: iterative procedure
zbMATH Keywords: transfer function
zbMATH Keywords: fast Fourier transform
reviewed by: Wilhelm Heinrichs
MaRDI profile type: Publication
cites work: Q3796553
cites work: Q4154030
cites work: Solute transport in heterogeneous porous formations
cites work: Q5736542
cites work: Q4778193
cites work: The intrinsic random functions and their applications
cites work: Q3293720
full work available at URL: https://doi.org/10.1007/bf01581391
OpenAlex ID: W2085156188
description: scientific article; zbMATH DE number 597720