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At Seisquare, our mission is to consistently apply stochastic mathematical models to G&G workflows. We translate deterministic G&G processes into stochastic ones, which paves the way to consistent uncertainty quantification and propagation throughout G&G workflows. We believe that this process of uncertainty characterization maximizes the performance of these workflows and the reliability of static/dynamic reservoir models. The end result is confident subsurface predictions, where all predictions are associated with a reliable +/- uncertainty value, and confident E&P decisions.
