Web technologies for visualization of geodata & massive 3D Models
Can the pressure answer of a field be estimated with neural networks in situations of fast decision-making or when a reservoir model is not available?
Automatic extraction of images of interest in document database can improve the efficiency of operational workflows and help professionals save time for higher-value activities
TELLUS Lab Team presented "Deep Learning Applications to Unstructured Geological Data: From Rock Images Characterization to Scientific Literature Mining"
A joint publication between the TELLUS team at IFPEN and IFP School addresses the benefits of emergent digital technologies
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
Identification of lithological types from rock samples is cornerstone in many subsurface activities
New geomodelling usages require solutions to share and view models independently from proprietary software
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
IFP Energies Nouvelles (IFPEN) and UNESCO have signed a framework partnership agreement
The Mineral Exploration Symposium was co-organized by the European Association of Geoscientists and Engineers (EAGE) and the European Commission
Research for Integrative Numerical Geology (RING) is an international research consortium dedicated to geomodelling and quantiative geosciences