[Webinar] A revolutionary Multiple-point Statistics code for geologically realistic facies models, and much more

Dec. 7, 10 AM | Dec. 9, 4 PM CET
Webinar - Online

Join our webinar and discover amazing applications of the Multiple-point Statistics technique traditionally used to model geological facies and how Isatis.neo makes it easy to apply.

A revolutionary Multiple-Points Statistics code for geologically realistic facies models, and much more

Multiple-point Statistics (MPS) is a geostatistical technique that is typically used to simulate geological facies. Based on training images that describe the geometrical characteristics of the facies to model, the approach allows realistic models of complex and heterogeneous geological environments like karsts, alluvial deposits, dikes, or differently oriented facies, while honoring data information. It is why MPS finds applications in fields as varied as mineral resource estimation, oil reservoir modeling, geotechnical studies, groundwater modeling, or nuclear waste burial.

Among the Multiple-points Statistics codes available in the market, the one developed by the Swiss University of Neuchâtel, known as DeeSse, is outstanding. It goes beyond the standards enabling the simulation of categorical, continuous, and multiple spatial variables or time series while handling a wide variety of non-stationarity in the training data sets and the simulation grids such as trends, local or global proportions. DeeSse is available into Isatis.neo.

 

Join Hélène Binet, consultant and software product manager at Geovariances, and Philippe Renard, Head of the Stochastic Hydrogeology Group at the University of Neuchâtel, on December 7 or 9. They will show you all the possibilities of DeeSse through amazing examples of applications and how flexible the code is to allow you to produce the images you expect through a short demo.

 


 

Register now for our half-an-hour webinar and learn from our expert

Two scheduled sessions:

Tuesday 7 December, 10 am (Paris CET time) = 5 pm (Perth AWST time)
Thursday 9 December, 4 pm (Paris CET time) = 10 am (Toronto EST time)

Click [SUBSCRIBE TO EVENT] at the top to register

You cannot join us for the live webinar? Register anyway; you’ll receive a link giving you access to the recorded video.