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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
Analyzing geomodels and physical simulation results can be tedious and often involve complex post-processing
Exploiting geomodelling results is a difficult task due to the amount of generated data. Complex post-processing computations are often required
Accurately detecting and locating a large number of objects of interest in thin section images is an arduous task
Well logs interpretation is often rather subjective and highly time-consuming
Efficiently searching for relevant information within mass of unstructured data is often a time-consuming prerequisite of scientific tasks
Field trips are increasingly limited by budget, safety, footprint or inclusion issues
Saving...
News
20 Nov
Digitally-powered geoscience from exploration to operation.
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
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Digital transformation
towards geosciences 4.0
