Webinar | A revolutionary Multiple-point Statistics code for geologically realistic facies models, and much more
Join our webinar to explore Multiple-Point Statistics (MPS) and the DeeSse algorithm, developed at the University of Neuchâtel. This powerful tool helps create more accurate and realistic models for geosciences, environmental studies, and beyond.
Tuesday, March 18, 2025, 2:30 pm (Paris CET)
Unavailable to attend this webinar live? Register anyway to access the replay later.
Multiple-point Statistics (MPS) is a powerful geostatistical technique used to simulate complex geological facies with high accuracy. By leveraging training images that capture the spatial characteristics of facies, MPS enables the creation of realistic models for karsts, alluvial deposits, dikes, and structurally diverse formations while ensuring consistency with input data. This is why MPS finds applications in fields as varied as mineral resource estimation, oil reservoir modeling, geotechnical studies, groundwater modeling, and nuclear waste disposal.
DeeSse, developed by the University of Neuchâtel, stands out among the available MPS algorithms. It pushes beyond traditional MPS by allowing the simulation of categorical, continuous, and multiple spatial variables or time series. DeeSse handles complex non-stationarities such as trends, local and global proportions, making it one of the most advanced solutions in the field. It is fully integrated into Isatis.neo.
Join our webinar on March 18 with Jean Langanay, geostatistician and research engineer at Geovariances. He will showcase real-world applications of DeeSse and demonstrate its flexibility through a live demo, helping you generate the geological models you need with precision.
Register now and take your geological modeling to the next level →