The PEST course Application & Theory (September-October 2026)

Description

• Course available both Online and On-site in Vetralla, Italy
• from September 28 to October 2, 2026

This five-day course will be hosted by John Doherty, author of PEST. He will be assisted in practical sessions by Francesca Lotti of SYMPLE/Kataclima.

Attendees will learn how to process site data in decision-relevant ways using groundwater simulation. The course will cover traditional ways of model history-matching and uncertainty analysis using discrete parameters, distributed parameters, and ensembles. It will also discuss and demonstrate new ways of decision-pertinent, model-based processing of site data such as data space inversion, hierarchical inversion, use of non-stationary geostatistics, and innovative “non-centred parameterization” using pilot points.

There is a lot to cover. Nevertheless our desire is to be flexible. Some of the material is covered in previous PEST courses, to which attendees will be given access. If attendees wish, this can open up time for discussion of issues that are important to them. These issues may include development of modelling, parameterization and history-matching strategies that are best for their own contexts, or how to decide what should be included or omitted from a model in order to enhance its decision-support utility.

If they need advice on using PEST/PEST++ or associated utility software at their own sites, attendees will have access to John once they return home after the course.

Info & Programme

Trainers

John Doherty

Francesca Lotti