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Evaluate if the pressure and the production of wells in an oil field can be estimated with graph neural networks
A comprehensive workflow for managing the multi-step process of producing maps efficiently
Automated execution on large datasets and facilitates stochastic realizations, such as Monte Carlo simulations, to generate probabilistic results
Enhancing geoscience documents mining with LLM through GraphRAG integration and agentic architecture
Developping a robust chatbot that enhances the retrieval and use of geoscientific information
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?
Digital transformation
towards geosciences 4.0
