Most plant variables are being controlled by a standard hierarchical process control and optimization model. However, in most cases, the critical money-making strategies of the refinery are not automated under the traditional APC approach. A neural network solution includes dozens of layers and up to hundreds of millions of nodes and has the internal complexity to capture severe multi-unit nonlinear dynamics. A single neural network operates across the layers of the hierarchy and the various process units…
