Discover the integration of machine learning in the history-matching process and how it leads to valuable insights through a complete data flow, training, and visualization on the Delfi digital platform
Join Jose Rojas to learn how agile reservoir modeling workflows on the Delfi digital platform, including data science capabilities, are utilized to achieve rapid history match results, enabling efficient analysis of large amounts of simulation data, and significantly reducing calibration times. It provides ways to understand the complexities of uncertainty through the seismic-to-simulation scope.
