Advanced control system for crude oil plant — A case study

Marinoiu, Vasile; Paraschiv, Nicolae; Patrascioiu, C.; Cartoaje, V.

doi:10.1016/0098-1354(96)00195-0

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authors' experience in this area is significant. Thus, for the distillation processes, the authors have developed optimal control systems that have been tested industrially [8,14].…”

Section: Optimal Operationmentioning

confidence: 99%

Study of the Control Systems of a Distillation Process Equipped with Heat Pump

Pâtrâşcioiu¹,

Popescu²

2018

Rev. Chim.

View full text Add to dashboard Cite

The paper presents the results of the researches on the modelling and simulation of the propylene-propane mixture distillation process equipped with heat pump. Industrial data regarding the process structure, operating data and control structure are presented. Modelling and simulation of the process was accomplished using the resources of the Unisim Design simulator. Because the simulator does not include a mathematical model associated with the distillation process equipped with heat pump, the distillation column model was replaced with the Reboiled Absorber model from the simulation environment library. An analysis of the multivariable character of the distillation process revealed discrepancies between the structure determined by the Relative Gain Array analysis and the industrial control structure. The design of the control systems requires dynamic simulation of the process, so the authors� research was focused on the dynamic simulation of the absorption process. The obtained dynamic model was the starting point for testing the propylene quality control system. Finally, the optimal operating conditions for this process were analyzed.

show abstract

“…Authors' experience in this area is significant. Thus, for the distillation processes, the authors have developed optimal control systems that have been tested industrially [8,14].…”

Section: Optimal Operationmentioning

confidence: 99%

Study of the Control Systems of a Distillation Process Equipped with Heat Pump

Pâtrâşcioiu¹,

Popescu²

2018

Rev. Chim.

View full text Add to dashboard Cite

show abstract

“…In the context of predictive control without adaptation, where the model must be obtained prior to the control application, several alternatives were proposed [9][10][11][12] and are currently being used commercially, mainly in the petrochemical industry. Most reported advanced control applications in oil refining industry are mainly related to Model Predictive Control techniques [13][14][15][16][17], but there are also reported applications related to Expert Systems [18].…”

Section: Introductionmentioning

confidence: 99%

Adaptive predictive control of the sulfur recovery process at Pemex Cadereyta refinery

Raimondi

Favela

Estrada

et al. 2012

Adaptive Control & Signal

View full text Add to dashboard Cite

This paper describes the design and application of an optimized control system, based on adaptive predictive expert control methodology, to the sulfur recovery units (SRUs) of the Pemex Refinery in Cadereyta, and presents comparative results obtained in relation to those of the conventional control system operating the plant. The sulfur recovery process represents the final stage in the refinery production chain, and is responsible for removing the sulfur content, usually in the form of hydrogen sulfide (H 2 S) waste gas generated by other refinery processes. The main goal is minimizing the sulfur content in the gasses released into the atmosphere to comply with emission level requirements. This goal can be obtained by a precise control of the ratio between hydrogen sulfide and sulfur dioxide (SO 2 ) in the tail gas, which determines, through a Claus reaction, the maximum sulfur recovery. The SRUs operating in Cadereyta were connected to a common amine acid gas collector and a common ammonia acid gas collector. Optimized control strategies were designed to control the pressure on both acid gas collectors and the flow rate of air entering each SRU. The results show that the H 2 S : SO 2 ratio in the tail gas is considerably more stable under optimized control, particularly in the presence of abrupt changes in the acid gas load. The peaks observed in this ratio under conventional control disappear under optimized control showing a significant improvement in the process operation. Optimized control strategies for pressure in the acid gas common headerThe OCS for pressure in the acid gas common header is shown in Figure 5. Experience shows that pressure in the acid gas lines for the various SRUs is very close and representative of the pressure in the acid gas common header. For this reason, a good estimate of the pressure in the acid gas common header is the maximum pressure in the gas lines. As can be seen on the left side of Figure 5, this maximum value enters as process variable (PV) in the master ADEX controller for the acid gas pressure. This controller receives the measurement of the acid gas flow rates produced by the various plants of the refinery, as perturbations to be taken into account in the predictive model. Figure 5. Diagram of the optimized control strategies for pressure in the acid gas common header.The control signal produced by the master ADEX controller for the acid gas pressure is a master signal, which determines the total acid gas flow rate that needs to be absorbed by the set of all SRUs. This total flow rate of acid gas is distributed by a 'load manager', which sends the set point to the acid gas flow rate ADEX controller of each SRU. The distribution is made to equalize the percentage of acid flow rate treated by each SRU, calculated in relation to the maximum and minimum of the range of variation of these flow rates in each SRU.On the right hand side of Figure 5, it can be seen how the ADEX flow controllers determine the position of the corresponding flow control valve for each SRU. It can...

show abstract

ADEX Optimized Adaptive Control System for the Sulfur Recovery Process at Pemex Cadereyta Refinery

Martín‐Sánchez

Rodellar

2014

ADEX Optimized Adaptive Controllers and Systems

View full text Add to dashboard Cite

Advanced control system for crude oil plant — A case study

Cited by 4 publications

References 0 publications

Study of the Control Systems of a Distillation Process Equipped with Heat Pump

Study of the Control Systems of a Distillation Process Equipped with Heat Pump

Adaptive predictive control of the sulfur recovery process at Pemex Cadereyta refinery

ADEX Optimized Adaptive Control System for the Sulfur Recovery Process at Pemex Cadereyta Refinery

Contact Info

Product

Resources

About