稠油热采井管柱失效动态风险分析研究

为保证稠油热采井筒管柱的安全运行,采用故障树与贝叶斯网络相结合的方法开展稠油热采井管柱失效风险分析,应用故障树分析方法定性识别管柱失效诱因,建立稠油热采井管柱失效场景演化模型,并将故障树转化为贝叶斯网络模型,应用贝叶斯网络对管柱失效风险进行定量分析,得出热采井管柱失效的关键致因和管柱失效的动态失效概率,以新疆油田某区块热采井的管柱失效为对象进行了案例分析。研究结果表明,该方法可为稠油热采井管柱失效风险分析及井筒完整性管理提供理论支撑和工程设计参考。     

基于HMM和DT的无人机异常检测方法

为了实时检测无人机异常状态,提出基于隐马尔可夫模型(Hidden Markov Model,HMM)和决策树(Decision Tree,DT)的无人机异常检测方法(HMMDT).首先根据异常致因将无人机异常分为干扰异常和硬件异常;然后结合HMM和DT建立无人机异常检测模型,定义无人机异常度衡量异常状态的严重程度,确定...     

A spatially explicit empirical model of structural development processes in natural forests based on climate and topography

Stand structure develops with stand age. Old-growth forests with well-developed stand structure support many species. However, development rates of stand structure likely vary with climate and topography. We modeled structural development of 4 key stand variables and a composite old-growth index as functions of climatic and topographic covariates. We used a hierarchical Bayesian method for analysis of extensive snap-shot National Forest Inventory (NFI) data in Japan (n = 9244) to account for differences in stand age. Development rates of structural variables and the old-growth index exhibited curvilinear responses to environmental covariates. Flat sites were characterized by high rates of structural development. Approximately 150 years were generally required to attain high values (approximately 0.8) of the old-growth index. However, the predicted age to achieve specific values varied depending on environmental conditions. Spatial predictions highlighted regional variation in potential structural development rates. For example, sometimes there were differences of >100 years among sites, even in the same catchment, in attainment of a medium index value (0.5) after timber harvesting. The NFI data suggested that natural forests, especially old natural forests (>150 years), remain generally on unproductive ridges, steep slopes, or areas with low temperature and deep snow, where many structural variables show slow development rates. We suggest that maintenance and restoration of old natural forests on flat sites should be prioritized for conservation due to the likely rapid development of stand structure, although remaining natural forests on low-productivity sites are still important and should be protected.     

System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment

In quantitative fault tree analysis of a system, exact failure probability values of components are utilized to calculate the failure probability of the system. However, in many real world problems, it is problematic to get precise and sufficient failure data of system components due to insufficient or imprecise information about components, changing environment or new components. A methodology has already been developed by employing fuzzy set theory for the system reliability evaluation by utilizing qualitative failure data of system components when quantitative failure data of components are inaccessible or insufficient. This paper extends the concept of fuzzy set to intuitionistic fuzzy set and proposes a novel approach to evaluate system failure probability using intuitionistic fuzzy fault tree analysis with qualitative failure data of system components. The qualitative failure data such as expert opinions are collected as linguistic terms. These linguistic terms are then quantified by triangular intuitionistic fuzzy numbers in form of membership function and non-membership function. Additionally, a method is developed for combining the different opinions of experts. To illustrate the applicability of proposed approach, a case study of the crude oil tank fire and explosion accident is performed. The obtained results are very close to the results from pre-existing approaches which confirm that the proposed approach is a more realistic alternative for the study of system reliability in intuitionistic fuzzy environment when quantitative failure data of system components are not known. To help decision makers for improving the security execution of the crude oil tank system, importance measures including Fussell-Vesely importance and cut sets importance are also executed.     

SVD在串联故障电弧检测及选相中的应用*

煤矿井下发生串联故障电弧易引发火灾等安全事故,为了预防电气火灾、指导线路维修,利用三相电动机及变频器负载开展不同线路、不同电流条件下的串联故障电弧实验,研究三相串联故障电弧的检测及选相方法。首先,对单相电流进行一阶差分处理后,建立改进的吸引子轨迹矩阵作为故障特征矩阵;其次,对故障特征矩阵进行奇异值分解,采用特征矩阵的奇异值构建串联故障电弧检测及选相的特征向量;最后,利用极限学习机建立故障电弧检测及选相模型,并测试检测及选相准确率。研究结果表明:提出的SVD方法可以利用单相电流实现三相电动机及变频器负载回路中的串联故障电弧检测及选相。     

地下氡气测量法-音频大地电磁法在隐伏断层探测中的应用*

为开展隐伏断层探测,明确断层空间位置和构造属性,在此基础上合理避让或采取有效的工程措施,可以有效减轻地震灾害损失。在昔格达断裂带某区域,采用地下氡气测量法与音频大地电磁法相结合的方法探测隐伏断层。结果表明:2种方法所推断的断层区域较为吻合。地下氡气测量法简单方便,但无法确定断裂结构的深部延伸及产状变化,音频大地电磁法勘探深度大、效率高但干扰因素较多,具有多解性,二者结合的断层探测方法在研究区效果良好,对类似地区开展断层探测具有一定的借鉴和指导意义。     

近断层地震作用下考虑温度和碰撞效应的曲线梁桥地震响应分析

为探究大温差地区曲线梁桥在近断层脉冲型地震动作用下的地震响应和碰撞效应,以西北大温差地区某曲线连续梁桥为工程实例,建立全桥非线性有限元模型并考虑变温作用对支座刚度的影响;分别以桥墩内力、支座位移和邻梁碰撞效应为指标研究曲线梁桥在近断层脉冲型地震动作用下的地震反应特性。结果表明:温度越低,地震波作用于结构的内力响应越大;曲线梁桥在地震动作用下邻梁间碰撞为面-面碰撞,且温度越高,碰撞效应越强;高阻尼橡胶支座在低温下体现出较强的耗能能力,在大温差地区的桥梁抗震设计中可作为参考;近断层脉冲地震动相较于远场地震动,结构地震响应更大,对结构的破环性更强,故在近断层地区的桥梁抗震设计中应予以重视。     

压缩天然气(CNG)加气站安全监控系统

根据国家科技攻关课题的研究成果以及国家有关法律法规要求,结合加气站安全生产工作的实际需要,辩识与分析CNG加气站的常见危险有害因素;统计与分析近几年加气站事故;采用事故树法对加气站的火灾爆炸危险进行分析;提出事故预防措施;研究并提出CNG加气站安全监控系统的结构和功能设计方案。CNG加气站安全监控系统在对加气站危险有害因素进行辨识、分析和评估基础上,确定需要进行监测的安全相关信息;通过对加气站运行过程中安全状态信息的智能分析,实现事故预警及联锁控制等功能,控制和消除事故风险,预防重大事故的发生;同时系统可以直接纳入应急指挥平台,为应急救援提供详实而准确的现场信息,服务于事故应急救援的科学决策。     

饮食业油烟道火灾事故概率的模糊事故树分析

根据常规事故树定量计算中基本事件概率的不确定性问题,通过引入模糊集的概念,将常规事故树中基本事件的发生概率模糊化,用三角形模糊数代替确定性发生概率,应用模糊数截集方法,推导了模糊事故树的相关算法.采用模糊事故树方法得到饮食业油烟道火灾事故发生概率,并进行了敏感性分析,找出对顶事件发生概率影响较大的基本事件,确认减小油烟道火灾事故发生的相关措施.研究表明,饮食业油烟道火灾事故概率的模糊事故树分析是切实可行的,有助于对饮食业油烟道火灾的认识、预防和扑救工作.     

浅析低瓦斯煤矿瓦斯防治安全评价

笔者结合煤矿安全评价工作的经验,通过运用预先危险分析对低瓦斯煤矿瓦斯防治进行分析,得出瓦斯爆炸是最严重的瓦斯事故。进而通过对瓦斯爆炸的事故树分析,得出了导致瓦斯爆炸的27个基本事件。应用事故树分析中的最小割集、最小径集和结构重要度,对瓦斯爆炸进行了研究。结果表明,瓦斯爆炸不发生所必须的最低限度的基本事件集合即最小径集有6个,其中严格控制瓦斯浓度,杜绝一切火源,是预防煤矿瓦斯爆炸的最重要途径。从源头上防止瓦斯爆炸的发生,提高我国煤矿安全生产水平。