Sulfur Determination in Geological Samples Based on Coupled Analytical Techniques: Electric Furnace-IC and TGA-EGA

A study has been undertaken to determine sulfur in geological samples by coupled analytical techniques. Two measurement methods have been developed: one using an electric furnace coupled to an ion chromatograph (electric furnace-IC) and another using infrared (IR) and quadrupole mass spectrometry (QMS) for evolved gas analysis (EGA) coupled with a thermogravimetric analyser (TGA). In the electric furnace-IC method, measurement was performed without any sample pre-treatment. The measurement conditions were optimised by varying sample quantity, type of catalyst (WO₃, Cu, W and V₂O₅) and sample/catalyst ratio, and the detection limit was 10 μg g⁻¹. Sulfur ores decompose at different temperatures. However, TGA-EGA allowed identification of the different forms of sulfur in the sample, even when they were found in very low concentrations, because the sulfur was continuously analysed. The developed chromatographic method allowed simultaneous analysis of several sample components, such as S, Cl and F, with a low detection limit. The method was much faster and more specific than the methods described in the literature. The results of the sulfur determination had low scatter, possibly because the samples underwent little handling during analysis: the operator only weighed and placed the sample in the furnace, the rest of the measurement process was fully automated. The results obtained by both the developed methods have been validated by using reference materials and comparison with combustion-IR spectroscopy, a standard method for determining total sulfur in a sample.     

Trace elements in world steam coal and their behaviour in Dutch coal-fired power stations: A review

Trace elements associated with the combustion of coal have received more attention recently, as can be seen from the increasing demands laid down in legislation and permits.Knowledge of the trace element content of coal is essential. Coal used in the Netherlands is imported from all over the world. As a consequence, Dutch power stations are designed to burn a wide range of bituminous coals. The largest share nowadays originates from South Africa, Colombia, and Indonesia, with these three countries accounting for more than 85% of the coal fired in the Netherlands in recent years. The coals, as imported in the Netherlands, have been monitored for their (trace) element content. At present the database contains results of own analyses of about 170 coals, originating from 14 different countries. An important uncertainty was the question of how homogeneous the imported lots are. It appears that the lots as imported from overseas are fairly homogeneous.The behaviour and fate of trace elements in coal-fired power stations has been studied in more than 40 mass balance studies since 1977. More than 50 test series have been completed during co-combustion of biomass and waste materials (up to 40% on mass base) since 1993. It has therefore been possible to establish a relationship between (trace) elements in the fuel and the ash, as well as with emissions into the atmosphere.     

海底电场传感器原理及研制技术

因海底电场信号微弱，海下自然环境复杂以及海水导电介质以氯离子为主等原因，用于海下电场测量的电场传感器在材料和结构上有其特殊性。研制海底电场传感器成为开展海洋大地电磁探测的重要技术内容之一。研制过程遇到的主要技术问题有；海底电极材料的选择；电极的制作工艺；承压与密封技术；海水运动对测量产生不利影响的克服办法；水下弱信号传输的抗干扰问题，等等，阐述了对上述问题的解决办法。提出了海底电场传感器的全套研制方案。并列举了相关的室内模拟实验和海洋试验的结果。     

井地电位成像技术在煤层气水力压裂缝探测中的应用

利用井地电位测量技术取得了北票煤矿煤层气探测区M1井水力压裂缝前后储层的电位数据。通过反演成像方法对实测电位数据进行了处理,得到了水力压裂缝分布的几何参数。显示了井地电位测量技术探测水力压裂缝的良好应用前景。     

等效水力隙宽和水力梯度对岩体裂隙网络非线性渗流特性的影响

等效水力隙宽和水力梯度是影响岩体裂隙网络渗流特性的重要因素。制作裂隙网络试验模型,建立高精度渗流试验系统;求解纳维-斯托克斯方程,模拟流体在裂隙网络内的流动状态,研究等效水力隙宽和水力梯度对非线性渗流特性的影响。结果表明,当水力梯度较小时,等效渗透系数保持恒定的常数,流体流动属于达西流动区域,流量与压力具有线性关系,可采用立方定律计算流体流动;当水力梯度较大时,等效渗透系数随着水力梯度的增加而急剧减少,流体流动进入强惯性效应流动区域,流量与压力具有强烈的非线性关系,可采用Forchheimer方程计算流体流动。随着等效水力隙宽的增加,区别线性和非线性流动区域的临界水力梯度呈幂函数关系递减。当水力梯度小于临界水力梯度时,控制方程可选立方定律;当水力梯度大于临界水力梯度时,控制方程可选Forchheimer方程,其参数A和B可根据经验公式计算得到。其研究结果可为临界水力梯度的确定及流体流动控制方程的选取提供借鉴意义。     

无锡马山抽水蓄能电站地面厂房边坡稳定性分析

以无锡马山抽水蓄能电站地面厂房建筑过程中形成的人工边坡为例,在对其工程地质剖面分析并找出可能的滑动模式后,利用极限平衡法和有限元法分析了4个典型地质剖面的稳定性安全系数以及应力应变关系。结果表明,通过对该边坡的极限平衡法得到了2-2剖面的安全系数和通过有限元法得到的计算结果比较接近,且都满足相关规范的要求;坡体的最大位移发生在高程为－20 m和－5.0 m附近,其值为－22 mm;最大主应力位于高程－45.0 m处,值为0.134 MPa;最小主应力位于坡内深处,其值为－6.22 MPa。同时,提出了下一阶段应考虑时间效应,对边坡的变形进行分析。     

自组织竞争神经网络在江苏油田有杆抽油系统故障诊断中的应用

有杆抽油系统的故障诊断技术是国内外采油工程技术中的一个重要研究课题。通过示功图的不同形状特征可以反映抽油机的不同工作状态。将自组织竞争神经网络应用于示功图的识别与分类,建立了一个自组织竞争神经网络模型对示功图进行自动聚类,从而实现故障诊断的自动化。应用江苏油田的实测示功图数据进行实验,可以看出自组织竞争神经网络具有良好的分类能力和泛化性能,是实现油田抽油系统故障诊断的有效技术,具有很强的实用价值和广泛的应用前景。     

基于人工神经网络的喀斯特地区水资源承载力综合评价——以贵州省为例

运用BP网络对贵州喀斯特地区水资源承载力进行综合评价,并与灰色关联投影法评价结果进行对比。结果表明,两种方法的评价结果整体差别不大,但安顺市和铜仁地区的承载力差别很大。神经网络法所得结果,铜仁地区水资源开发利用潜力最大,而安顺市则很小,仅高于贵阳市;但灰色关联投影法所得结果,铜仁地区的水资源承载力却比安顺市低很多。通过与前人研究结果比较,BP网络的评价结果更加符合实际情况。应用Kohonen网络进行分析,结果表明水资源总量和经济发展水平是影响贵州各地区水资源承载力的主要因素;此外,人口对遵义市的水资源承载力也有较大的影响,铜仁和毕节地区受喀斯特的影响较其他地区显著。      

一种用于沉积相分析的新型模式识别方法

本文介绍一种用于沉识相分析的新型智能模式识别方法──神经网络模式识别方法。该方法利用关键井研究建立的测井相与地质相的对应关系作为识别模式，通过向识别模式学习获得模式识别智能知识，从而利用这些智能知识识别未知井、未知点的微相类型。本文方法成功地应用于中原油田文留地区沙四段沉积微相的识别与划分。     

核址地脉动测试与分析研究

较深入的探讨了地脉动脉测试的方法技术和仪器设备,并分析研究了地脉动测试在确定核址场地卓越周期、脉动幅值等动力特征中应注意的问题。