A deep reinforcement learning approach to gasoline blending real-time optimization under uncertainty
The gasoline inline blending process has widely used real-time optimization techniques to
achieve optimization objectives, such as minimizing the cost of production. However, the …
achieve optimization objectives, such as minimizing the cost of production. However, the …
Gasoline blending system modelling via static and dynamic neural networks
Gasoline blending is an important unit operation in the gasoline industry. A good model for
the blending system is beneficial for supervision operation, prediction of gasoline qualities …
the blending system is beneficial for supervision operation, prediction of gasoline qualities …
Neural networks for the optimization of crude oil blending
Crude oil blending is an important unit in petroleum refining industry. Many blend
automation systems use real-time optimizer (RTO), which apply current process information …
automation systems use real-time optimizer (RTO), which apply current process information …
Lyapunov-based optimizing control of nonlinear blending processes
TA Johansen, D Sbárbaro - IEEE Transactions on Control …, 2005 - ieeexplore.ieee.org
Blending processes consisting of linear dynamics and a static nonlinearity are considered.
We propose a control law that optimizes the equilibrium point of the process and regulates …
We propose a control law that optimizes the equilibrium point of the process and regulates …
Modelling of gasoline blending via discrete-time neural networks
W Yu, MA Moreno-Armendariz… - … Joint Conference on …, 2004 - ieeexplore.ieee.org
Gasoline blending is an important operation in chemical industry. A good model for the
blending process is beneficial for supervision operation, prediction of gasoline qualities and …
blending process is beneficial for supervision operation, prediction of gasoline qualities and …
Modelling of crude oil blending via discrete-time neural networks
J de Jesús Rubio, W Yu - (ICEEE). 1st International Conference …, 2004 - ieeexplore.ieee.org
Crude oil blending is an important unit operation in petroleum refining industry. A good
model for the blending system is beneficial for supervision operation, prediction of the export …
model for the blending system is beneficial for supervision operation, prediction of the export …
Optimization of crude oil blending with neural networks
Crude oil blending is an important unit in petroleum refining industry. Most of blend
automation system is a real-time optimizer (RTO). RTO is a model-based optimization …
automation system is a real-time optimizer (RTO). RTO is a model-based optimization …
Generalized predictive control for a precise crude oil blending process
A An, X Hao, H Su - 2008 IEEE International Conference on …, 2008 - ieeexplore.ieee.org
The refinery units frequently need advanced process control (APC) strategies and near
smooth real-time feed stream composition of crude oil for increasing economic profit in …
smooth real-time feed stream composition of crude oil for increasing economic profit in …
Data driven fast real-time optimization with application to crude oil blending
Real-time optimization (RTO) uses the information from the current process to update the
model and predict the optimal operational policy. There are two difficulties for RTO in fast …
model and predict the optimal operational policy. There are two difficulties for RTO in fast …
Modeling of crude oil blending via discrete-time neural networks
Introduction Crude oil blending is an attractive solution for those refiners who have the ability
to blend different crude types to provide a consistent and optimal feedstock to refinery …
to blend different crude types to provide a consistent and optimal feedstock to refinery …