Reduce Your Risk by Quantifying Geologic Uncertainty through Brownfield Optimization & Probabilistic Forecasting


The following main points are covered:
  • New history matching methods to incorporate uncertainty
  • Workflows to carry multiple history matched models through forecasting and optimization studies
  • Easy-to-use tools in CMOST AI to generate, organize and visualize complex multi-realization studies

Jason Close has been with CMG for over a decade, with experience in North America and Southeast Asia. His expertise includes Heavy Oil and EOR Technology with an emphasis on machine learning and optimization. He holds a Bachelor of Science in Petroleum Engineering from the Colorado School of Mines, is a practicing Professional Engineer and is an APEGA Responsible Member for CMG.

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