Publication: BALANCE DE MATERIALES EN LAS UNIDADES DE FRACCIONAMIENTO DE ENAP REFINERÍA ACONCAGUA (ERA)
Date
2019-11
Authors
DÍAZ ORELLANA, RODRIGO GONZALO
Journal Title
Journal ISSN
Volume Title
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Abstract
El balance de materiales en las unidades del área de fraccionamiento de ENAP Refinería
Aconcagua (ERA) no cierra debido a la presencia de incertidumbre en algunas de sus
mediciones, comprometiendo la gestión de operaciones y la programación de la producción,
como consecuencia de esto, los índices de eficiencia energética (IEE), los consumos
específicos de materias primas, servicios y costos operacionales, presentan diferencias de
exactitud, los cuales a su vez, afectan a indicadores operativos, que ERA espera que estén
dentro de los objetivos definidos, por ejemplo, se espera que la disponibilidad como indicador
sea del 97%.
Desarrollar un balance es útil para el control y optimización de procesos en la refinería, con el
fin de detectar problemas operacionales y poder cumplir con la planificación de la producción
y cerrar los inventarios.
Se abordó el problema desarrollando un modelo de reconciliación de datos utilizando Solver
de MS. Excel® el cual fue validado para identificar aquellos medidores que aportaban con
mayor error y generaban más diferencias en el balance.
Basado en el análisis de resultados, se concluye que las unidades de Topping 1 y Topping 2
procesan en promedio un total de 950 [m3/d] de crudo más que el valor medido, por lo cual,
considerando una alimentación promedio total de 13.500 [m3/d] a ambos Topping, se genera
un incremento del 7% en la disponibilidad de la planta. Adicionalmente, si se emplean los
valores reconciliados para la carga de crudo a Topping 2 se genera un ahorro referencial de
2.500 [USD/d] en la brecha acumulada asociado al consumo de FOE como índice de eficiencia
energética.
The mass balance in the units of the fractionation area of ENAP Refinería Aconcagua (ERA) does not close due to the presence of uncertainty in some of its measurements, compromising operations management and production scheduling, as a consequence of this, the energy efficiency indexes (IEE), specific consumption of raw materials, services and operational costs, show differences in accuracy, which in turn, affect operational indicators, which ERA expects to be within the defined objectives, for example, Availability as an indicator is expected to be 97%. Developing a balance sheet is useful for the control and optimization of processes in the refinery, in order to detect operational problems and be able to comply with production planning and close inventories. The problem was addressed by developing a data reconciliation model using MS Solver. Excel® which was validated to identify those meters that contributed with greater error and generated more differences in the balance. Based on the analysis of results, it is concluded that the Topping 1 and Topping 2 units process on average a total of 950 [m3/d] of crude oil more than the measured value, therefore, considering a total average feeding of 13.500 [m3/d] to both Topping, a 7% increase in plant availability is generated. Additionally, if the reconciled values are used for the loading of crude oil to Topping 2, a reference saving of 2.500 [USD/d] is generated in the accumulated gap associated with the consumption of FOE as an energy efficiency index.
The mass balance in the units of the fractionation area of ENAP Refinería Aconcagua (ERA) does not close due to the presence of uncertainty in some of its measurements, compromising operations management and production scheduling, as a consequence of this, the energy efficiency indexes (IEE), specific consumption of raw materials, services and operational costs, show differences in accuracy, which in turn, affect operational indicators, which ERA expects to be within the defined objectives, for example, Availability as an indicator is expected to be 97%. Developing a balance sheet is useful for the control and optimization of processes in the refinery, in order to detect operational problems and be able to comply with production planning and close inventories. The problem was addressed by developing a data reconciliation model using MS Solver. Excel® which was validated to identify those meters that contributed with greater error and generated more differences in the balance. Based on the analysis of results, it is concluded that the Topping 1 and Topping 2 units process on average a total of 950 [m3/d] of crude oil more than the measured value, therefore, considering a total average feeding of 13.500 [m3/d] to both Topping, a 7% increase in plant availability is generated. Additionally, if the reconciled values are used for the loading of crude oil to Topping 2, a reference saving of 2.500 [USD/d] is generated in the accumulated gap associated with the consumption of FOE as an energy efficiency index.
Description
Keywords
ENAP , BALANCE , RECONCILIACIÓN , DATOS