Published January 1994 | Version v1
Report

Inverse modeling of aquifers in fault zones

  • 1. Versuchsanstalt fuer Wasserbau, Hydrologie und Glaziologie, ETH, Zurich (Switzerland)

Description

An inverse modeling scheme is presented which allows the estimation of model parameters of saturated groundwater flow from measurements made on the system response as well as from prior information on the parameters. An indirect approach to the inverse problem is applied determining the hydro- and hydrogeological parameters of a numerical model by repeated solution of the transient flow equation. This so-called direct problem is solved numerically by the Finite Element Method. The three-dimensional model is especially designed for dealing with fractured media so that elements of lower dimension than the overall model can be included in order to model fault zones. Spatially distributed parameters are considered alternatively by conventional zonation or pointwise definition in connection with a kriging interpolation technique. The inverse problem is formulated in the statistical framework of the maximum-likelihood estimation method which enables one to account for errors of the measurements and for errors of model output. The resulting objective function is minimized by alternative mathematical optimization algorithms where a sequential combination of a gradient method and a Gauss-Newton method has been found to perform best in many cases. With respect to the computational efficiency of the nonlinear optimization problem, the exact gradient (of the numerical problem) as well as the Jacobian matrix, i.e. the partial derivatives of the performance measures, are computed by the adjoint-state method or by direct derivation of the FE-equations, respectively. (author) figs., tabs., refs

Availability note (English)

Available from Nagra, CH-5430 Wettingen, Switzerland.

Additional details

Additional titles

Original title (German)
Inverse Modellierung in gekluefteten Grundwassertraegern

Publishing Information

Imprint Pagination
226 p.
Report number
NAGRA-NTB--93-19