Parameter Estimation and Uncertainty Analysis Course

Description

This four-day course will be held over 19th to 22nd November, immediately following the workshop. This will also be held at the University of Western Australia. The course will be led by John Doherty; Jeremy White will join us for a day.

The course will cover the theory and practice of model history-matching and predictive uncertainty analysis using PEST and PEST++.

The last couple of years have provided some exiting innovations to talk about. These include improvements to the PEST, PEST++ and PyEMU suites, new ways of generating stationary and non-stationary stochastic fields for structured and unstructured model grids, data space inversion, ensemble space inversion and optimization under uncertainty.

The theory behind all of these methods will be discussed. A comprehensive tutorial will demonstrate how to use them.

The course is sponsored by GMDSI. The cost is only $200.00 per person for the whole four days. This covers morning and afternoon tea and some organizational costs.

This course is hosted and supported by:

  • The University of Western Australia and the Centre for Water and Spatial Science.
  • The Groundwater Modelling Decision Support Initiative and its partners, BHP, Rio Tinto, Flinders University and the National Centre for Groundwater Research and Training.