Image public
An innovative method to automatically generate maps of prospectivity, based on Machine Learning and multicriteria decision analysis.
Can the pressure answer of a field be estimated with neural networks in situations of fast decision-making or when a reservoir model is not available?
Predictive mapping is essential to evaluate underground prospectivity in various fields, such as Oil and Gas industry, Mineral prospection or Geothermal Energy
Predicting rock properties while drilling a well, especially if at several tens of meters ahead of the drill bit, can be key to reduce the drilling risks and their associated costs
EOR choices are often addressed with circular processes, increasing decision time without necessarily improving final choice
For mature fields, a long history of production data is often available, but the impact of geological factors remains hard to assess
Development scenarii must optimize production or injection but consider technical and logistical constraints
Digital transformation
towards geosciences 4.0
