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An innovative method to automatically generate maps of prospectivity, based on Machine Learning and multicriteria decision analysis.
Efficiently searching for relevant information within mass of unstructured data is often a time-consuming prerequisite of scientific tasks
Companies often accumulate very large amounts of documents stored in multiple folders
It is often burdensome to handle large amounts of wells files
Geomodels usage generates large amounts of data. Model size raises several issues such as visualization, storage, transfer, memory footprint...
Our objectives are to offer both a multi-resolution and compression solution: compression for storage gain, multi-resolution to fit model resolution with the aimed usage.
New geomodelling usages require solutions to share and view models independently from proprietary software
Geomodelling is a long and progressive task. Numerous versions of the model are produced, first in the building phase, then in the calibration one
Exploiting geomodelling results is a difficult task due to the amount of generated data. Complex post-processing computations are often required
Analyzing geomodels and physical simulation results can be tedious and often involve complex post-processing
Digital transformation
towards geosciences 4.0
