ARTIFICIAL INTELLIGENCE IN GEOPHYSICS

Artificial Intelligence (AI) is a powerful methodology to reduce the statistical errors in the forecast of natural phenomena.

The key solution is based on "supervised learning" . Inspired by statistics we can train algorithms to recognise objects or to reproduce physical phenomena of the same nature and same physical processes.

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SPATIAL STATISTICS 

has evolved in the last ten years as a powerful analytical tool for data processing in most Geosciences and Environmental Applications.  Geostatistics was originally developed within the Mining Industry and slowly  many of its applications were extended to other domains.

First of all Geostatistics found a wide development in the Reservoir Characterization Sciences, Seismology and Petrophysics for the understanding of space dependent properties distributions at different scales.

Geostatistics is also very important for the study of Environmental Properties Distributions and in a range of disciplines in the Risk Analysis and evaluation context of  Soil , Air, Water pollution, Nuclear Waste safety and Geothermal Exploration.

- Geothermal, Oil and Gas Reservoir Characterization

- Environment: Soil , Air, Water

- Nuclear Safety

- Mining

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                  Geostatistics Conferences at GeoNeurale

Geostatistical Modelling for Subsurface Characterisation and Environmental Applications

                                Dr  Olivier Jaquet

                                   27 June 2018

Decision making in relation to geoscientific issues requires assessment of uncertainty.
Geostatistics provides tools and methods for modelling uncertainty when analysing spatial data.
Geostatistical concepts and case studies will be presented within the framework of reservoir flow modelling and environmental applications.

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