多级脉冲深穿透射孔技术

目前国内较先进的射孔工艺是增效射孔和三相流射孔,这2种射孔工艺均存在射孔深度和造缝深度浅的问题,尤其是对低渗油藏和纵向渗透率远大于横向渗透率的油藏,此造缝深度并不能满足油田生产的需要.介绍了一种新型的射孔技术,它是一种能进行深度射孔造缝的多级射孔技术,利用三级推进剂燃爆时产生峰值不连续的高温、高压气流,形成多级脉冲,多次冲击射孔孔眼前沿的裂缝,使其有效延伸至地层深处,从而较单独的射孔更能有效地增加油气产量.通过地面水泥靶的试验,证明了该射孔器的延缝功能和安全性;通过塘32等井的现场试验,证明该射孔技术对污染地层解堵有显著效果,可明显地降低地层破裂压力.     

利津地区深层沙三、沙四段油藏测试评价

利用测试资料，将利津地区深层沙三、沙四段油藏分为5种油藏类型：①高压、低-极低渗、导数曲线后期上翘、地层存在非均质性的油藏；②高压、低渗、无污染、双孔介质的油藏；③高压、低-中渗、无-轻微污染的复合油藏；④常-高压、低渗、有污染的油藏；⑤常-高压、极低渗、无污染、干层的油藏。最后对利津地区深层沙三、沙四段各种类型油藏进行了评价，认为利津地区深层沙三、沙四段自然产能较低，一般需要进行改造措施来提高渗透性，提高产能。     

Value management and common accounting performance measures for corporations

Management is aware that the value of firms is the ultimate measure of company performance. However, management has been using common accounting measures as an operating guide because the linkage between operational planning and value is vague and complex and, therefore, difficult to apply. Managers need to have clear targets and performance measures to track progress. This paper examines if a set of common accounting performance measures are linked tightly to the overall value of the firm. An abductive learning network (ALN) approach, an artificial intelligence technique, is used in this research because an ALN approach is non-parametric and can capture a subtle dynamic relationship between input and output variables, which is not obvious in linear statistical analysis. Empirical results show that an ALN model is very effective in synthesizing the value of the firm using six common accounting variables. The results also provide four strategic variables that can be used for devising strategic and operating plans to maximize the value of firms.     

提高网络教学效果的方法浅析

中国的网络远程教育目前也正处于蓬勃发展的阶段,各种远教机构如雨后春笋般涌现。但在远教课程向网络转型的过渡时期,难免会有各种不尽如人意的地方。设计不够贴近学生、缺乏师生互动和技术运用的片面与僵化等是很多网络课程常有的通病。如何在课程设计上进行改进,使网络课程更具人性化,真正实现以学生为中心,是中国网络教育更上一层楼的关键问题之一。     

Virtual teamwork in very large undergraduate classes

Collaborative work is an important part of tertiary education but it is very difficult to arrange and supervise for extremely large classes of students in their first year. The possibility that computer-mediated communication can be used to facilitate this type of learning is appealing from a pragmatic organisational point of view. This paper explains in detail what a ‘virtual team’ is in the educational context. It reports on an interpretive field study where students taking an introductory course were allowed to choose where and when they did the required collaborative work. The paper discusses the factors that should be taken into account when offering students the option of working as a virtual team. These include factors that influence the students’ choice. The project cannot be considered to have been successful but indicates reasons for the lack of success and suggests contexts in which it would be valuable to repeat the project. The importance of extensive preparation in terms of teaching the students necessary social and technological skills cannot be over emphasised.     

黄河下游稳定主槽之节点整治

稳定主槽是当前黄河下游河道治理的关键。窄深河槽具有很强的泄洪能力与输沙能力,是主槽整治追求的目标。黄河下游均是顺直微弯河道,河道水流最基本的主导机理是沿着阻力最小的方向流动,走直路、走近路,主槽整治设计流路应以顺直为上策。当前有必要对微弯整治方案进行再认识,实现对其否定之否定的提高。控制性弯道整治、对口丁坝整治、节点整治都属于双岸整治的范畴,对双岸整治的方向应予肯定。今后的整治应从微弯整治向节点整治发展,逐步过渡到以节点整治为主,最终达到稳定河势流路、高效排洪输沙之目的。     

深孔预裂爆破在溢洪道高边坡开挖的应用

高边坡深孔预裂爆破是一项对施工质量、安全要求极高的爆破技术, 必须进行科学的爆破技术设计,确定合理的爆破参数;高度重视爆破钻孔工艺、装药工艺、网络工艺以及边坡稳定性地质分析.在洞巴水电站中不允许采用超欠平衡的开挖方法进行施工,利用设计台阶高度,采用深孔预裂爆破对溢洪道高边坡的稳定及开挖平整度进行有效控制,取得良好效果.     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

深井固井的若干问题

讨论了深井固井的几个问题，包括长封固段顶部水泥抗压强度的最新ISO标准方法、注水泥温度、窄环空固井带来的问题、深井钻井液、固井液的流变性及流变性试验方法、水泥环的收缩及工程设计问题、深井钻井液与完井液对水泥环及套管的腐蚀研究、深井堵漏问题、特高温固井的低密度水泥浆体系。     

地下连续墙在太钢老厂改造工程中的应用

结合某深基坑支护施工实例 ,介绍了采用多头潜水钻成槽机进行地下连续墙施工的基本原理、工艺流程及注意事项。指出该方案对于在老厂区改造工程狭窄场地条件下 ,解决深基坑施工保护附近建 (构 )筑物安全具有独特的优势