Figure 1
From: A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
PIML workflow for reservoir management. Short-term production data is supplied to the machine-learning inverse model which predicts appropriate site parameters that are then used as inputs to the forward model. Note that the forward model could be either physics based or again a machine-learning model.
