A comprehensive workflow for managing the multi-step process of producing maps efficiently
Automated execution on large datasets and facilitates stochastic realizations, such as Monte Carlo simulations, to generate probabilistic results
An essential step of risk assessment methodologies in subsurface activities is to simulate multiple possible realizations for the spatial distribution of the lithological facies.
An innovative method to automatically generate maps of prospectivity, based on Machine Learning and multicriteria decision analysis.
Web technologies for visualization of geodata & massive 3D Models
Predictive mapping is essential to evaluate underground prospectivity in various fields, such as Oil and Gas industry, Mineral prospection or Geothermal Energy
Field trips are increasingly limited by budget, safety, footprint or inclusion issues
Development scenarii must optimize production or injection but consider technical and logistical constraints
Geomodels usage generates large amounts of data. Model size raises several issues such as visualization, storage, transfer, memory footprint...
New geomodelling usages require solutions to share and view models independently from proprietary software
Saving...
Image public
Digital transformation
towards geosciences 4.0
