Data-Driven Approaches to Mitigate Chalk Influxes
Felix Kohler discusses applying data-driven methodologies to forecast and mitigate challenging chalk influx events in geological and industrial contexts.
Felix Kohler (Expert Analytics) - Data driven approaches to mitigate chalk influxes
Welcome to a conference on discovery and prediction in complex geo systems. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify controlling features of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields.
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