How are big data, AI and machine learning algorithms challenging geostatistical and Bayesian formalisms?
Please submit your contribution until Feb. 24, 2024 over the Springer submission system. For more information you can download the flyer.
Farwell and see you in 2023 in TrondheimIAMG 2023 is over. We had 2 pre conference short courses, 1 post conference field trip, 8 plenary keynote speakers, 4-5 parallel scientific tracks hosting 23 sessions, 211 on site participants and 20 remote participants, presenters from 32 countries presenting 200 contributions. Farwell and see you at the IGC 2024 in Busan, Korea.
Here you find the transcript of the panel debate to AI and Geostatistic.
Best Student Presentations
Waleed Diab: S2206. Learning the Solution Operator of Flux Functions for the Parametric Transport Equation in Porous Media Using Physics-Informed DeepONet
Best Student Poster Award
Robin Andre Rørstadbotnen: S1207. Quick clay monitoring using surface wave recorded on a distributed acoustic sensing array.
The mission of the IAMG is to promote worldwide the advancement of mathematics, statistics and informatics in the geosciences.
- Mining geostatistics and geometallurgy
- Machine learning
- Non-linear regression
- Petroleum geostatistics
- Uncertainty modelling
- Flow in porous media
- Resource potential estimation and prospectivity mapping
- Analysis of spatio-temporal data
- 3D (geometric) modelling
- Computational petrology
- Geophysics and inversion
- Geologic forward modeling