海上浮式生产储卸油装置大型液化石油气储罐设计与校核

海上浮式生产储卸油装置(FPSO)上的大型液化石油气储罐具有储存的介质易燃、易挥发,储存量大,晃动幅度大等特点,其设计与校核目前没有专用的标准和方法。针对南海某FPSO上的大型液化石油气储罐进行机械设计研究,解决液化石油气储罐的壁厚、多鞍座和破波浪板等设计难点问题。建立有限元模型对各个工况下液化石油气储罐及其结构进行强度校核,同时建立计算流体力学模型对液化石油气储罐的晃动情况进行模拟。强度校核和数值模拟结果表明,液化石油气储罐本体、内部加强圈以及鞍座等结构的设计满足各种工况条件的要求,在储罐罐内增加破波浪板后能够有效抑制罐体内液体的晃动,降低液体对罐体的冲击与压强,确保液化石油气储罐在FPSO上的使用安全。     

预防和控制液化石油气储罐泄漏危害的消防设计

液化石油气属于甲类火灾危险物质,如何预防和控制液化石油气储罐泄漏和爆炸,一直是倍受关注的问题。文章分析了液化石油气储罐泄漏原因及泄漏特性,从储罐本体、储罐附件、储罐位置以及安全检测装置、泄放装置、紧急切断装置、给水灭火设施等方面,较全面地介绍了预防和控制液化石油气储罐泄漏危害的消防安全设计。     

Predictions for Yields of Huabei Liquefied Petroleum Gas by Using the Classical Apriori Algorithm Model

The classical Apriori algorithm model for predicting yields of Huabei liquefied petroleum gas have been introduced based on Visual FoxPro software in the present article. The experimental results show that the classical Apriori algorithm model can predict yields of Huabei liquefied petroleum gas and the experimental data are in agreement with the quantitative analytic conclusions drawn from the predicted data. This proves that it can be used to predict yields of Huabei liquefied petroleum gas. It results in good economic and social benefits for Chinese chemical plant.     

A New Model for the Prediction of Real Time Critical Drawdown Sand Failure in Petroleum Reservoirs

Petroleum producers are now realizing the risk of failure in petroleum reservoirs and consequently sand production is now a dreaded process in the industry. As a result, failure analysis of reservoirs rocks for sanding potential prediction purposes has become a routine activity more than ever before. Due to the high cost and operational and safety implications of the risk of sand failure, the efficient management of these risks for field operation optimization requires a reliable failure model. Most of the existing models failed to capture the real time failure of the reservoir's sand, and those that tried to capture the real time failure criterion required parameters that are difficult to acquire. The developed model modified the Griffitti rock failure criterion using McClintock and Walsh hypotheses to predict the current critical drawdown pressure of petroleum reservoir. The required parameters for the application of the developed model can be easily determined. The error analysis from the model in relation to the field data when compared with those of Oluyemi and Oyeneyin's model showed that the developed model gives better predicting ability.