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Expert system
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Automated multi-scenarios well correlations
Well correlations can be partially automated to efficiently consider multiple scenarios and better assess the corresponding uncertainties.
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3 TELLUS TOOLS at EAGE Digital 2020
TELLUS Lab Team presented "Deep Learning Applications to Unstructured Geological Data: From Rock Images Characterization to Scientific Literature Mining"
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Digital transformation and geoscience education: new publication in European Geologist Journal
A joint publication between the TELLUS team at IFPEN and IFP School addresses the benefits of emergent digital technologies
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Cognitive ranking of eor opportunities
EOR choices are often addressed with circular processes, increasing decision time without necessarily improving final choice
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Assisted screening of document packs
Companies often accumulate very large amounts of documents stored in multiple folders
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Automated classification of rock samples
Identification of lithological types from rock samples is cornerstone in many subsurface activities
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IFPEN and UNESCO share digital transformation ambitions towards sustainable resource management and energy transition
IFP Energies Nouvelles (IFPEN) and UNESCO have signed a framework partnership agreement
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Applications of TELLUS technologies for the mining industry addresses at Mineral Exploration Symposium
The Mineral Exploration Symposium was co-organized by the European Association of Geoscientists and Engineers (EAGE) and the European Commission
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TELLUS projects presented at the 2020 RING meeting
Research for Integrative Numerical Geology (RING) is an international research consortium dedicated to geomodelling and quantiative geosciences
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