高硫炼油装置硫化氢泄漏场景集定量分析

发布时间：2018-07-18 09:10

【摘要】：随机规划方法已成为解决不确定条件下高硫炼油装置气体检测报警仪布置优化问题的重要途径,而构建接近真实情况的泄漏场景集则是实现随机规划的基础。目前,有毒气体泄漏场景集构建方面的研究鲜有报道,且传统以典型泄漏场景为代表的做法未能体现真实风险。为此给出一种融合泄漏概率和风场联合分布概率的定量构建硫化氢泄漏场景集的方法,使场景集包括重要泄漏场景并运用DNV的LEAK软件和历史气象数据定量预测场景的实现概率,为实现后续的气体泄漏检测报警仪布置随机规划提供技术支持。并以某柴油加氢装置为例,定量构建其硫化氢泄漏场景集,为后续的气体检测报警仪布置优化及其它基于定量风险分析的控制决策提供支持。
[Abstract]:Stochastic programming method has become an important way to solve the problem of optimizing the layout of gas detection alarms in high-sulfur refinery plants under uncertain conditions, and the construction of a leak scene set approaching the real situation is the basis for realizing stochastic programming. At present, there are few reports on the construction of toxic gas leakage scenarios, and the traditional methods, such as typical leakage scenarios, fail to reflect the real risk. In this paper, a method of quantificationally constructing the hydrogen sulfide leakage scene set by combining the leakage probability and the wind field joint distribution probability is presented. The scene set includes important leakage scenarios and the realization probability of the scenario is quantitatively predicted by DNV's read software and historical meteorological data. It provides technical support for the subsequent random programming of gas leakage detection and alarm device arrangement. Taking a diesel hydrogenation unit as an example, the scene set of hydrogen sulfide leakage is quantitatively constructed, which provides support for the subsequent optimization of the layout of gas detection alarms and other control decisions based on quantitative risk analysis.
【作者单位】： %E6%9C%BA%E7%94%B5%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2;" target="_blank">中国石油大学<华东>机电工程学院;
【基金】：山东省自然科学基金项目(ZR2012EEQ026) 国家自然科学基金项目(51409260) 2012年安全生产重大事故防治关键技术科技项目(2012-487) 2012年度山东省安全生产科技发展计划项目(LAK2012-6) 中央高校基本科研业务费专项
【分类号】：TE687

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