RING at the 2024 EAGE ANNUAL CONFERENCE

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RING at the 2024 EAGE ANNUAL CONFERENCE

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Latest News - June 2024
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New publication in Geophysical Journal International
RING at the 2024 EAGE ANNUAL CONFERENCE
The RING 2024 Annual Newsletter is out!
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RING at NuTS 2024
Publication in Journal of Structural Geology
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Eliis joins the RING Consortium
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Seminars

2D downscaling inversion for structural uncertainty quantification
Homogenization of sedimentary basins for the simulation of lithological site effects
Transdimensional inversion of post-stack seismic data with a two-dimensional dipping layer parameterization: a proof of concept
Do uranium deposit experts and non-specialists differ fundamentally in their interpretation of deposit geometry using drillcore data?
A detailed analysis of body waves simulated in homogenized media
Reconciling Geodynamics and Seismology
Caractérisation des milieux géologiques hétérogènes : Approche couplée multi-échelle et application à l'estimation des ressources énergétiques (géothermie, stockage thermique, co-production)
Multi-scale experimental deformation and damage initiation of clay-rich rocks
Simulations of structural geomodels using deep generative adversarial networks (GANs)
Observation of water transport in bentonite clay using x-ray tomography and 4D image analysis
Tracking transient aseismic slip events on faults with geodesy
Multi-fault observations associations using random forest: first results & perspectives
KarstNSim: a public code for 3D geologically-driven simulation of karst networks
Sediment-well interaction caused by gas hydrate production and its influence on wellbore stability
Modélisation Agent participative - Application à des enjeux territoriaux
AI for numerical simulation in geoscience at IFPEN
Multi-Scale Analysis and Modeling of Deformations in the Apennines (Italy) Using Multi-Temporal InSAR Measurements.
Impact of bacterial activity on underground geological storage of hydrogen
How many drillholes are enough to build robust geological models? And where should they be located?
A machine learning approach for the association of multiple fault observations

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