Corpus ID: 13379238

EXPERT SYSTEM DESIGN AND CONTROL OF CRUDE OIL DISTILLATION COLUMN OF A NIGERIAN REFINERY USING ARTIFICIAL NEURAL NETWORK MODEL

@inproceedings{Popoola2013EXPERTSD,
  title={EXPERT SYSTEM DESIGN AND CONTROL OF CRUDE OIL DISTILLATION COLUMN OF A NIGERIAN REFINERY USING ARTIFICIAL NEURAL NETWORK MODEL},
  author={Lekan Taofeek Popoola and Gutti Babagana and Alfred Akpoveta Susu},
  year={2013}
}
This research work investigated the expert system design and control of crude oil distillation column (CODC) using artificial neural network model which was validated using experimental data obtained from functioning crude oil distillation column of Port-Harcourt Refinery, Nigeria. MATLAB program was written for the artificial neural network back-propagation algorithm using the implementation steps of the artificial neural network. Out of the onehundred and thirty (130) experimental data… Expand
Application of Artificial Neural Networks Based Monte Carlo Simulation in the Expert System Design and Control of Crude Oil Distillation Column of a Nigerian Refinery
This research work investigated comparative studies of expert system design and control of crude oil distillation column (CODC) using artificial neural networks based Monte Carlo (ANNBMC) simulationExpand
Development of Artificial Neural Network Model of Crude Oil Distillation Column
Artificial neural network in MATLAB simulator is used to model Baiji crude oil distillation unit based on data generated from aspen-HYSYS simulator. Thirteen inputs, six outputs and over 1487 dataExpand
Artificial Neural Networks Controller for Crude Oil Distillation Column of Baiji Refinery
A neural networks controller is developed and used to regulate the temperatures in a crude oil distillation unit. Two types of neural networks are used; neural networks predictive and nonlinearExpand
Artificial Neural Networks Controller for Crude Oil Distillation Column ofBaiji Refinery
A neural networks controller is developed and used to regulate the temperatures in a crude oil distillation unit. Two types of neural networks are used; neural networks predictive and nonlinearExpand
Artificial Intelligence for Inferential Control of Crude Oil Stripping Process
TLDR
Inferential control by the implementation of ANFIS-based online composition estimator in a cascade control scheme is superior to traditional tray temperature control method based on less integral time absolute error and low duty consumption in reboiler. Expand

References

SHOWING 1-10 OF 31 REFERENCES
An expert system design for a crude oil distillation column with the neural networks model and the process optimization using genetic algorithm framework
TLDR
An expert system of a crude oil distillation column is designed to predict the unknown values of required product flow and temperature in required input feed characteristics and to optimize the distillation process with minimizing the model output error and maximizing the required oil production rate with respect to control parameter values. Expand
NONLINEAR MODEL PREDICTIVE CONTROL OF A DISTILLATION COLUMN USING HAMMERSTEIN MODEL AND NONLINEAR AUTOREGRESSIVE MODEL WITH EXOGENOUS INPUT
Distillation column is an important processing unit in petroleum refining and chemical industries, and needs to be controlled close to the optimum operating conditions because of economic incentives.Expand
Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models
TLDR
There are many successful application cases that refinery units use real plant data to calibrate models, but it is difficult to identify, control or compensate the dynamic process behaviour and the errors from instrumentation for an online model prediction. Expand
Nonlinear process model-based self-optimizing control of complex crude distillation column
Publisher Summary The complex crude distillation column (crude distillation tower) is a basic technological unit in the petrochemical industry for benzene, kerosene, diesel oil, and mazut production.Expand
DEVELOPMENT OF MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) AND MULTIPLE-INPUT SINGLE-OUTPUT (MISO) NEURAL NETWORK MODEL FOR CONTINUOUS DISTILLATION COLUMN
Distillation columns are widely used in chemical processes and account for approximately 95 percent of the separation systems in industries. A distillation column is a complex multivariable systemExpand
Operations optimization and control design for a petroleum distillation process
Process automation involves both steady-state optimization and feedback control. In this paper, the economic optimum steady-state operating conditions for a petroleum crude distillation process areExpand
Application of the self-heat recuperation technology to crude oil distillation
Abstract Crude oil distillation is an atmospheric distillation column using a furnace. It consumes about 50% of the energy required in an oil refinery plant. To reduce energy requirements, it isExpand
STEADY-STATE AND DYNAMIC SIMULATION OF CRUDE OIL DISTILLATION USING ASPEN PLUS AND ASPEN DYNAMICS
Steady-state and dynamic simulation of Preflash and Atmospheric column (Pipestill) in a real crude oil distillation plant was performed using ASPEN simulations. Steady-state simulation resultsExpand
An on-line soft-sensor for control and optimization of crude distillation column
Soft-sensing techniques are widely applied in such practical situations where some process variables involved in control and optimization systems can not be measured directly or reliably due to theExpand
Application of Neural Networks
The paper deals with the possibilities of control andoptimization of the technological process of aluminum anodicoxidation using neural networks and Design of Experiments inorder to evaluate andExpand
...
1
2
3
4
...