This course is designed to cover state-of-the-art techniques/workflows for history matching geologic and reservoir models for both conventional and unconventional reservoirs. The course will discuss ...
A review of the validity of a reservoir simulation model does not need to address whether the model is perfect overall. Rather, a review should address whether or not, a model can be used for a ...
For complex and multi-layered clastic oil reservoir formations, modeling lithofacies and petrophysical parameters is essential for reservoir characterization, history matching, and uncertainty ...
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the ...
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