Automation and Control of Energy Efficient Fluid Catalytic Cracking Processes for Maximizing Value Added Products
    4.
    发明申请
    Automation and Control of Energy Efficient Fluid Catalytic Cracking Processes for Maximizing Value Added Products 审中-公开
    能源效率流体催化裂化自动化与控制最大化增值产品

    公开(公告)号:US20090095657A1

    公开(公告)日:2009-04-16

    申请号:US12266197

    申请日:2008-11-06

    IPC分类号: C10G11/00

    摘要: With an aim to optimize propylene production, petroleum oil is catalytically cracked by contacting the oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an up-flow type fluid catalytic cracking apparatus having a regeneration zone, a separation zone, and a stripping zone. According to this fluid catalytic cracking process, the production of light-fraction olefins such as propylene is maximized by applying appropriate process control, monitoring, and optimizing systems. The present invention provides mathematical process models, including: neural networks, statistical models and finite impulse models. These various mathematical process models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various process parameters. A microwave based system can also be employed for optimizing the performance of a stripping zone, which further optimizes catalyst regeneration. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, which decreases overall operating costs and increases plant safety.

    摘要翻译: 为了优化丙烯生产,石油通过使油与由含有稳定的Y型沸石的基础裂化催化剂和少量稀土金属氧化物组成的催化剂混合物和含有形状 - 在具有再生区的上流式流化催化裂化装置,分离区和汽提区中的选择性沸石。 根据这种流化催化裂化方法,通过应用适当的过程控制,监测和优化系统,使轻馏分烯烃(如丙烯)的生产最大化。 本发明提供数学过程模型,包括:神经网络,统计模型和有限脉冲模型。 这些各种数学过程模型与高级控制器和优化程序结合使用,以计算各种过程参数的最佳设置。 也可以采用基于微波的系统来优化汽提区的性能,进一步优化催化剂再生。 用于测试预测系统的过程模型和历史数据可以提供对FCC单元潜在性能下降和设备故障的预警,从而降低总体运营成本并提高工厂安全性。

    AUTOMATION AND CONTROL OF ENERGY EFFICIENT FLUID CATALYTIC CRACKING PROCESSES FOR MAXIMIZING VALUE ADDED PRODUCTS
    6.
    发明申请
    AUTOMATION AND CONTROL OF ENERGY EFFICIENT FLUID CATALYTIC CRACKING PROCESSES FOR MAXIMIZING VALUE ADDED PRODUCTS 有权
    能量有效液体催化裂化过程的自动化和控制,用于最大限度地增加产品数量

    公开(公告)号:US20120193269A1

    公开(公告)日:2012-08-02

    申请号:US13429047

    申请日:2012-03-23

    IPC分类号: C10G11/02

    摘要: Petroleum oil is catalytically cracked by contacting oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in an FCC apparatus having a regeneration zone, a separation zone, and a stripping zone. Production of light-fraction olefins is maximized by applying appropriate process control, monitoring, and optimizing systems. Mathematical process models, including neural networks, statistical models and finite impulse models are used in conjunction with advanced controllers and optimizing routines to calculate optimal settings for various parameters. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit, decreasing overall operating costs and increasing plant safety.

    摘要翻译: 在含有稳定的Y型沸石和少量稀土金属氧化物的基础裂化催化剂和含有形状选择性沸石的添加剂组成的催化剂混合物中,油与催化剂混合物在具有 再生区,分离区和汽提区。 通过应用适当的过程控制,监测和优化系统,轻馏分烯烃的生产最大化。 数学过程模型,包括神经网络,统计模型和有限脉冲模型与高级控制器和优化程序结合使用,以计算各种参数的最佳设置。 用于测试预测系统的过程模型和历史数据可以提供对FCC单元潜在性能下降和设备故障的预警,降低总体运营成本并提高工厂安全性。

    Advanced control of severe fluid catalytic cracking process for maximizing propylene production from petroleum feedstock
    7.
    发明申请
    Advanced control of severe fluid catalytic cracking process for maximizing propylene production from petroleum feedstock 有权
    严格流化床催化裂化过程的先进控制,可最大限度地利用石油原料生产丙烯

    公开(公告)号:US20080128325A1

    公开(公告)日:2008-06-05

    申请号:US11983078

    申请日:2007-11-07

    IPC分类号: C10G51/04

    摘要: With an aim to optimize propylene production, petroleum oil such as gas oil is catalytically cracked by contacting the oil with catalyst mixture consisting of a base cracking catalyst containing an stable Y-type zeolite and small amounts of rare-earth metal oxide, and an additive containing a shape-selective zeolite, in a down-flow type fluid catalytic cracking apparatus having a regeneration zone, a separation zone, and a stripping zone, wherein conversion of hydrocarbon occurs under relatively severe conditions. According to this fluid catalytic cracking process, the production of light-fraction olefins such as propylene is maximized by applying appropriate process control, monitoring, and optimizing systems. Process model and historical data to test a predictive system can provide early warning of potential performance degradation and equipment failure in the FCC unit.

    摘要翻译: 为了优化丙烯生产,通过使油与由含有稳定的Y型沸石的基础裂化催化剂和少量的稀土金属氧化物组成的催化剂混合物和添加剂,催化裂化石油油,例如瓦斯油, 在具有再生区,分离区和汽提区的下流式流化催化裂化装置中含有形状选择性沸石,其中碳氢化合物在相对苛刻的条件下发生。 根据这种流化催化裂化方法,通过应用适当的过程控制,监测和优化系统,使轻馏分烯烃(如丙烯)的生产最大化。 用于测试预测系统的过程模型和历史数据可以提供FCC单元潜在性能下降和设备故障的预警。