基于SPA模型的煤矿瓦斯危险源风险评价

根据危险源理论和三类危险源的观点,采用集对分析(SPA)方法,进行了安全一事故集对的同异反分析,指出应采取措施控制不确定项,尤其要控制其中的第二类、第三类危险源才能使系统趋于安全状态;同时建立了煤矿瓦斯危险源风险评价模型,通过联系度的计算得出煤矿瓦斯的安全等级.研究表明,将集对分析方法应用于某煤矿瓦斯危险源风险评价,计算简单,结果较为精确、可靠,为不确定系统的评价提供了一条新思路.     

回收法氧化镁湿法烟气脱硫机理和工艺基础研究

以氧化镁浆液作为吸收液,对空气与SO₂混合气的鼓泡吸收做了全过程的实验观察.测试分析表明,在高效而稳定的脱硫过程中,吸收液的酸化是由HSO₃^-所致;酸化趋势与SO₂水解规律相一致,由初期高pH值下SO₃^2-为主的缓变到低pH值下HSO₃^-为主的剧变;吸收液温度对脱硫率的影响不敏感;MgSO₃相对高的溶解度和易氧化性及MgSO₄良好的水溶性保持了MgO脱硫的高效率(>98%)和高利用率.燃煤烟气脱硫工业试验确认了MgSO₄经吸收液循环可提浓至实验温度(40～50℃)下的饱和浓度而不产生有害影响,脱硫率因脱硫活性物质的富集反而提高,从而显示出回收工艺的技术经济可行性.     

大气中芳香胺及吡啶类化合物的离子色谱法测定

采用GDX-501富集大气中芳香胺及吡啶类化合物,经沸水解吸后解吸液直接注入离子色谱仪,用紫外/可见光检测器进行测定。方法灵敏、简便,可同时测定吡啶、2-甲基吡啶、3-甲基吡啶、苯胺、邻-甲苯胺、间-甲苯胺等。当采样体积为30L时,方法的最低检出浓度范围为0.05～0.10mg/m3(吡啶～间甲苯胺),测定的回收率为84.7%～95.9%,相对标准偏差为4.0%～6.6%。     

连续起伏管道投产过程中的气相运移研究*

为应对山区液体管道在投产过程中可能出现的气阻、超压问题,从气相运移角度出发,建立液顶气模型,研究在1个U型单元内积气形成、压缩和破碎的全过程,在此基础上,提出连接各个U型单元的气相的传递函数,探讨背压累积因素下,连续起伏管道投产过程中各个U型管段的积气情况和压力的变化,进行动态的建模和计算。以国内某原油管道的现场投产数据与模型结果进行比对。结果表明:可以更加准确地预测山区液体管道投产过程中的气相传递和压力变化过程,能为未来连续起伏大落差液体管道投产的安全稳定运行提供理论指导和技术支持。     

基于FLACS的LNG船舶泄漏爆炸过程数值模拟研究*

为研究大尺寸、全场景下LNG船舶卸货作业过程中的泄漏爆炸风险,构建某LNG接收站及其周边20.5 km2的区域场景模型,采用FLACS软件数值模拟LNG泄漏扩散、气云爆炸的演化过程。结果表明:LNG从卸料臂处以满输速率持续泄漏5 min,最大液池面积17 047 m2,最大汽化速率350 kg/m3,遇点火源发生气云爆炸,爆炸持续时间12 s,产生最高爆炸火球340 m和最大爆炸超压0.25 MPa,形成半径380 m轻伤区、150 m重伤区和60 m死亡区。     

基于电磁辐射峰谷比值法的煤与瓦斯突出预警

为了提高电磁辐射预警煤与瓦斯突出危险的准确性,减少误报现象,在分析大量电磁辐射现场数据基础上,基于电磁辐射预警煤与瓦斯突出危险原理,提出了电磁辐射峰谷比值法,利用正态分布统计特征计算每个班次的电磁辐射瞬时强度峰值均值和谷值均值,并将其比值作为煤与瓦斯突出危险性的预警值。最后,将该方法应用于义忠煤矿11112风巷掘进工作面,研究结果表明:与临界值系数和动态变化趋势系数法相比,峰谷比值法误报较低,预警准确性高,能够很大程度上减少误报对生产的影响。     

Corrosion failure probability analysis of buried gas pipelines based on subset simulation

Corrosion is the main reason for the failure of buried gas pipelines. For effective corrosion failure probability analysis, the structural reliability theory was adopted in this study to establish two calculation models for pipeline corrosion failure: the pressure failure model and von Mises stress failure model. Then, two calculation models for the corrosion failure probability were established based on a corrosion depth growth model obtained from actual survey data of soil corrosion characteristics. In an example, Monte Carlo simulation (MCS) and subset simulation (SS) were used to analyze the corrosion failure probability of pipelines, and the results were compared. SS can compensate for the shortcomings of MCS as it has higher computational efficiency and accuracy. Therefore, SS was adopted to simulate variations in the corrosion failure probability of buried pipelines with the service time for the two failure probability calculation models, which were applied to a natural gas pipeline located in a chemical industry park in Zhuhai, China. A sensitivity analysis was carried out on the relevant parameters that affect the failure probability. The results showed that multiple loads caused by the covering soil, residual stress, temperature differential, and bending stress have a non-negligible effect on the pipeline reliability. The corrosion coefficients gradually become the most important factors that affect the failure probability with increased service time. The proposed methodology considers the actual operating conditions of pipelines to provide a reliable theoretical basis for integrity management.     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

油页岩含氧干馏工艺流程爆炸极限分析

根据干馏工艺流程配入适量氧气,可以降低载热气体需要预热的温度,以实现低能耗、易于工业生产的特点,设计了一套新型的有氧干馏工艺流程。有氧干馏工艺因其过程中存在可燃性混合物,有发生爆炸事故的可能性,通过实验对所收集的不同温度下的干馏气体的成分与含量进行了分析,结合爆炸极限理论,对该有氧干馏工艺流程的不同温度、不同惰性气体含量条件下可燃气体爆炸极限进行了分析计算。结果表明,可燃气体的浓度在整个反应升温过程中始终没有进入爆炸危险区域,说明该实验装置不具备爆炸危险性;对干馏工艺流程中氧气的输入量的控制,可以防止该工艺流程的火灾爆炸的发生。     

油库泵站可燃气体智能型安全检测系统

根据目前油库泵站内存在可燃气体经常泄漏的实际情况,提出并应用计算机信息处理系统解决可燃气体泄漏监控问题。