RING Meeting - registration date change

Search ...

RING Team

Menu

News
About
Publications
Software
Data
Consortium
Work with us
Contact us

RING Meeting - registration date change

Details: Category: News

QuickLinks for Sponsors

Ring Meeting Papers
Trainings
RING Meeting 2026
Webinars
Downloads

Latest News

RING Meeting - registration date change
NuTS 2026 - workshop
2026 RING Newsletter
Webinar - June 17, 2026
Team Building
Webinar - April 15, 2026
New Postdoc
New Postdoc
EAGE Digital
New arrival
PDAC
2026 Meeting - Call for abstracts
PhD defense - Amandine FRATANI
PhD defense - Giusi RUGGIERO
New arrivals
New arrivals
Season's Greetings
PhD defense - Marius RAPENNE
PhD defense - Paul MARCHAL
RST 2025

Seminars

Optimization of the uranium leaching in a geological environment: context and initial results
Some thoughts on geoscience data infrastructures and on model updating
Marine data processing, from raw data to a seismic image
Fluid circulation modelling of the Upper Rhine Graben and the Taupō Volcanic Zone
Un survol de l’optimisation de formes, et quelques applications récentes
An efficient approach for modeling fluid flow and heat transfer in fractured porous media: applications in geothermal energy
La géopolitique de désinformation minérale
Prior-Constrained Deep Learning for Seismic Interpretation and Modeling
Expériences analogues pour l'étude du comportement mécanique des failles
A framework for local tetrahedral mesh updating and PDE-based interpolation applied to geomodeling
Caractérisation et modélisation hydrogéologique d’un aquifère contaminé par modèles stochastiques et apprentissage profond
UV: An extremely fast Python package and project manager, written in Rust
De l’exhaure à la gestion post-ennoyage : modélisation globale du réservoir minier de Gardanne
Uncertainty Estimation in LLM for Geological Modelling: Deep Ensembles vs Bayesian Neural Networks vs MAPIE conformal learning
The Future of Machine Learning and Model Validation in the Earth Sciences: The Good, the Bad, and the Ugly
Modeling of thermo-hydro-mechanical couplings from pore scale to continuum scale
Fault observation association using machine learning: Creation of a synthetic training database
A Knowledge-driven modeling formalism for automatic strucural interpretation
Hydromechanical modeling of a fault gouge using a DEM approach
(Pseudo)-trans-dimensional inversion: the example of gravity data in 3D in the Boulia region (QLD, Australia)

Twitter
Linkedin

Confidentiality Policy

Go Top