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Assist
Accelerate
AutomateSupporting subsurface industries in geoscience digitalizationthrough practical use cases and a cross-disciplinary approach
TELLUS DIGITAL: Digital transformation towards geosciences 4.0
The Tellus ecosystem
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With TELLUS LAB explore a specific topic by a privileged partnership
a team of experienced data scientists, software architects and geoscience experts
privileged framework for bilateral or multi-partners projects with IFPEN
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With TELLUS SHARE follow all topics for an affordable yearly subscription
a community of industrial companies interested in geoscience digitalization
cost-effective framework for companies to exchange on business needs, follow IFPEN projects, and get up-to-date information on this booming subject
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With TELLUS TOOLS discover our digital companions for geoscientists
a set of digital solutions aiming at supporting geoscientists in their daily tasks
research and innovation integrated into a portfolio of prototype applications, addressing various industrial use cases
Demo projects
Well correlations can be partially automated to efficiently consider multiple scenarios and better assess the corresponding uncertainties.
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
Quantifying the uncertainties associated to well-log data can benefit any decision making based on machine learning workflows where these data are used
Predictive mapping is essential to evaluate underground prospectivity in various fields, such as Oil and Gas industry, Mineral prospection or Geothermal Energy
Saving...
News
23 Mar
The TELLUS team presented 3 papers. You will find direct links to them on the full news.
09 Mar
They presented early results and good practices on the practical use of Deep Learning approaches to operational data sets of geological images
07 Dec
TELLUS Lab Team presented "Deep Learning Applications to Unstructured Geological Data: From Rock Images Characterization to Scientific Literature Mining"
19 Nov
A joint publication between the TELLUS team at IFPEN and IFP School addresses the benefits of emergent digital technologies
12 Oct
IFP Energies Nouvelles (IFPEN) and UNESCO have signed a framework partnership agreement
19 Sep
The Mineral Exploration Symposium was co-organized by the European Association of Geoscientists and Engineers (EAGE) and the European Commission
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Digital transformation
towards geosciences 4.0
