Participants will get some practice with a variety of MPS software in this short course.
In particular, they will use Impala and DeeSse which are both professional and complementary softwares for Multiple Point Statistics simulations.
Impala is optimized and well-suited for simulating categorical variables. It is based on exhaustive multiple point statistics within the training image and an hybrid list-tree approach for an efficient memory usage and an efficient computational time. Impala follows a multiple grids approach, provides proper conditioning and allows for non stationary simulations by taking auxiliary information into account.
DeeSse follows a different strategy consisting in directly sampling the training image to reproduce the spatial statistics of the model. This latter technique is very flexible and offers a broad range of possibilities for simulating categorical and continuous variables and allows for multi-variate simulations.
These MPS algorithms are available in several software packages such as Isatis, Skua-Gocad, Jewel Suite, and Petrel. Within the framework of this course, practical exercises will be conducted with three of them: Isatis, Skua-Gocad, and Petrel.