September 1-3, 2015 in Neuchâtel, Switzerland.
Three days course on the practice of Multiple Point Statistic simulations.
Who should attend?
Petroleum reservoir engineers, groundwater modelers, hydrologists and any modelers interested in the simulation of complex random fields such as geological models or time series simulations with multiple-point statistics.
Aim of the workshop
Over the last 10 years, multiple-point statistics (MPS) became a very active field of research. Nevertheless, the practice of MPS is not always simple and many users wonder how they can empower this method.
The aim of this course is to provide users the required theoretical understanding and enough practice to allow them using MPS confidently and efficiently.
Tthe course includes a series of lectures and plenty of practical exercises with professional MPS algorithms (Impala and DeeSse) embedded in standard packages used by industry leaders (Isatis, Petrel, Skua-Gocad).
What is MPS?
In many engineering applications, modelling time series, 2D, or 3D fields is required to evaluate uncertainty or to model physical processes (e.g. fluid flow including groundwater, oil, gaz, CO2). In this framework, MPS allows simulating complex patterns in a straightforward manner.
The basic principle is that the user must provide a training data set from which non parametric statistics are derived. Those statistics control the generation of random fields which are able to mimic the structures present in the training set.