SAPS软件在金陵石化计划优化中的应用
|
摘要
金陵石化采用SAPS软件,建立了多周期计划模型,该模型采用KBC公司流程模拟软件Petro-SIM原油切割数据库,建立与生产过程执行系统(MES)和实验室管理系统(LIMS)的数据接口,统筹考虑了国内外市场行情、全公司原料油、辅助材料等资源,以及各类装置加工能力、开停工计划、物料库存信息等诸多因素,依据Petro-SIM二次装置的机理模型,利用迭代技术跟踪物性,得到Delta-Base数据,具备完善的计划跟踪系统,实现了快速、准确编制每周计划,装置加工量、产品调和量预测偏差一般不超过±5%,量化预测了原油、中间产品库存涨跌。利用该模型对凝析油采购量、高硫蜡油加工路线和催化裂化装置负荷对全公司效益影响等三个案例进行测算,确定每月采购(16～20)×10~4t凝析油公司效益最好,高硫蜡油走催化裂化路线比加氢裂化路线每吨效益提高203元,Ⅲ催化装置负荷在100%～90%范围内平均每降低1t进料量,效益损失407元。
SINOPEC Jinling Company established a multi-cycle planning model using SAPS software.The model uses KBC Petro-SIM crude oil cutting database,establishes data interfaces with Manufacturing Execution System(MES) and Laboratory Information Management System(LIMS),takes into account the market quotation at home and abroad,the raw oil,auxiliary materials and other resources of the company as well as the processing capacity,startup and shutdown plan and material inventory information of various units,and obtains Delta-Base data by iteration technique according to the mechanism model of Petro-SIM secondary processing unit.The model has a perfect plan tracking system,which can quickly and accurately draw up weekly plans.The deviations for the prediction of processing capacity and product output generally do not exceed 5%,and the inventory fluctuations of crude oil and intermediate product can be quantitatively predicted.This model was used in three cases to calculate the purchase volume of condensate oil,the processing route for high sulfur gas oil and the impact of FCC unit load on the company ′s benefit.It was determined that the profit can be maximized by purchasing 160000-200000 tons of condensate oil per month,the FCC process is superior to hydrocracking process in processing high sulfur gas oil for it can increase the benefit by 203 yuan per ton,and the profit of FCC unit will be reduced by 407 yuan in average for each ton of feed reduced within a load range of 100%-90%.
SINOPEC Jinling Company established a multi-cycle planning model using SAPS software.The model uses KBC Petro-SIM crude oil cutting database,establishes data interfaces with Manufacturing Execution System(MES) and Laboratory Information Management System(LIMS),takes into account the market quotation at home and abroad,the raw oil,auxiliary materials and other resources of the company as well as the processing capacity,startup and shutdown plan and material inventory information of various units,and obtains Delta-Base data by iteration technique according to the mechanism model of Petro-SIM secondary processing unit.The model has a perfect plan tracking system,which can quickly and accurately draw up weekly plans.The deviations for the prediction of processing capacity and product output generally do not exceed 5%,and the inventory fluctuations of crude oil and intermediate product can be quantitatively predicted.This model was used in three cases to calculate the purchase volume of condensate oil,the processing route for high sulfur gas oil and the impact of FCC unit load on the company ′s benefit.It was determined that the profit can be maximized by purchasing 160000-200000 tons of condensate oil per month,the FCC process is superior to hydrocracking process in processing high sulfur gas oil for it can increase the benefit by 203 yuan per ton,and the profit of FCC unit will be reduced by 407 yuan in average for each ton of feed reduced within a load range of 100%-90%.
引文
[1]北京中油奥特科技有限公司.流程工业经济规划软件PIMS[EB/OL].http://www.zy-aoto.com/aspen/PIMS/pims.asp.
[2]康贺娟.炼油企业生产经营优化技术:PIMS应用及实施案例研究[D].广州:华南理工大学,2017.
[3]任家军.炼油企业级PIMS模型的开发与应用[J].石油炼制与化工,2005,36(5):62-65.
[4]洪鹰.应用PIMS软件优化生产计划[J].石化技术,2005,12(3):49-52.
[5]李帆.PIMS软件在分析企业瓶颈问题中的应用[J].化学工程与装备,2008(12):147-149.
[6]赵建炜,郭宏新.PIMS软件在炼油厂总加工流程优化中的应用[J].炼油技术与工程,2009,39(4):50-53.
[7]王景芳,张国兴,李咏梅.PIMS模型开发与应用[J].化工自动化及仪表,2002,29(2):38-42.
[8]亚宏宇,卫建军,法鹏程,等.石化企业生产计划调度一体化的新应用[J].计算机与应用化学,2017,34(4):322-327.
[2]康贺娟.炼油企业生产经营优化技术:PIMS应用及实施案例研究[D].广州:华南理工大学,2017.
[3]任家军.炼油企业级PIMS模型的开发与应用[J].石油炼制与化工,2005,36(5):62-65.
[4]洪鹰.应用PIMS软件优化生产计划[J].石化技术,2005,12(3):49-52.
[5]李帆.PIMS软件在分析企业瓶颈问题中的应用[J].化学工程与装备,2008(12):147-149.
[6]赵建炜,郭宏新.PIMS软件在炼油厂总加工流程优化中的应用[J].炼油技术与工程,2009,39(4):50-53.
[7]王景芳,张国兴,李咏梅.PIMS模型开发与应用[J].化工自动化及仪表,2002,29(2):38-42.
[8]亚宏宇,卫建军,法鹏程,等.石化企业生产计划调度一体化的新应用[J].计算机与应用化学,2017,34(4):322-327.