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Enhancing geoscience documents mining with llm through graphrag integration and agentic architecture
Developping a robust chatbot that enhances the retrieval and use of geoscientific information
Utilizing a graph view serves as the intuitive method to display categorizations, interconnections between related documents, and meta-information pertaining to the documents.
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
Identification of lithological types from rock samples is cornerstone in many subsurface activities
Geomodelling is a long and progressive task. Numerous versions of the model are produced, first in the building phase, then in the calibration one
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
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Digital transformation
towards geosciences 4.0
