某面板堆石坝沉降观测资料反馈分析

根据某面板堆石坝施工期、蓄水初期以及几年来的沉降观测资料，对坝体填筑材料计算参数进行反馈分析，得出了能够反映坝体实际变形的弹塑性应力变形计算参数，有利于今后建立大坝变形预报模型，更准确地把握大坝实时运行状态。     

从数据库到数据仓库——广电未来的制胜武器

在目前数据爆炸、信息匮乏的情况下，需要利用数据仓库系统集成1个或多个独立传统数据库数据，通过分析海量数据发现市场潜在规律，获取商业信息以支持商业决策，这将是广电未来的制胜武器。     

Effective Location Based Services with Dynamic Data Management in Mobile Environments

With the proliferation of mobile computing technologies, location based services have been identified as one of the most promising target application. We classify mobile information service domains based on feature characteristics of the information sources and different patterns of mobile information access. By carefully examining the service requirements, we identify the dynamic data management problem that must be addressed for effective location based services in mobile environments. We then devise a general architecture and cost model for servicing both location independent and location dependent data. Based on the architecture and cost model, we propose a set of dynamic data management strategies that employs judicious caching, proactive server pushing and neighborhood replication to reduce service cost and improve response time under changing user mobility and access patterns. Detail behavior analysis helps us in precisely capturing when and how to apply these strategies. Simulation results suggest that different strategies are effective for different types of data in response to different patterns of movement and information access. Shiow-yang Wu is an associate professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan, R.O.C. He received the BS and MS degrees in computer engineering from National Chiao Tung University, Hsinchu, Taiwan, ROC, and the PhD degree in computer science from the University of Texas at Austin in 1984, 1986, and 1995, respectively. His research interests include data/knowledge bases, mobile computing, distributed processing, intelligence information systems, and electronic commerce. Kun-Ta Wu was born in Taipei, Taiwan, R.O.C., in 1976. He received the B.S. degree in computer science from Soochow University, Taipei, Taiwan, R.O.C., in 1999 and the M.S. degree in computer science and information engineering from National Dong Hwa University, Hualien, Taiwan, R.O.C., in 2001. Currently, he is an Assistant Researcher in the Domestic Division at Science and Technology Information Center, National Science Council, R.O.C., as a member of Information Gathering and Analysis Group of National Information and Communication Security Taskforce. His research interests include mobile computing, wireless network and information security.     

A comparison of transformation methods for evaluating two‐dimensional weakly singular integrals

Accurate numerical evaluation of integrals arising in the boundary element method is fundamental to achieving useful results via this solution technique. In this paper, a number of techniques are considered to evaluate the weakly singular integrals which arise in the solution of Laplace's equation in three dimensions and Poisson's equation in two dimensions. Both are two‐dimensional weakly singular integrals and are evaluated using (in a product fashion) methods which have recently been used for evaluating one‐dimensional weakly singular integrals arising in the boundary element method. The methods used are based on various polynomial transformations of conventional Gaussian quadrature points where the transformation polynomial has zero Jacobian at the singular point. Methods which split the region of integration into sub‐regions are considered as well as non‐splitting methods. In particular, the newly introduced and highly accurate generalized composite subtraction of singularity and non‐linear transformation approach (GSSNT) is applied to various two‐dimensional weakly singular integrals. A study of the different methods reveals complex relationships between transformation orders, position of the singular point, integration kernel and basis function. It is concluded that the GSSNT method gives the best overall results for the two‐dimensional weakly singular integrals studied. Copyright © 2002 John Wiley & Sons, Ltd.     

数据融合在经纬仪引导中的应用

介绍一种用于经纬仪引导数据的处理方法。该方法利用参数估计法对引导数据进行融合，弥补了常规方法的不足。对经纬仪引导数据进行处理，结果表明，该方法可显著提高经纬仪的引导精度，引导误差小于0．50m。     

取样式环空找水仪测井方法及效果评价

目前油田相当一部分产液井产液量相对较低,井下含水率高。这些特点给油井找水工作增加了很大难度,必然要求测试仪器具有适用于高含水率、低产液量的特点。取样式环空找水组合测井仪与常规过流式仪器相比,有着独特的优势,测量含水时不受井筒内流体的流速和抽油机冲程波动的影响。仪器含水测量精度可达到±5%以内,极大地提高了含水参数资料录取的准确性,对油田动态监测具有重要意义。     

岩石圈深部温度压力条件下褐煤与水的热模拟研究

在压力高达1—3GPa、温度为400—700℃的条件下，在密闭体系中进行了褐煤加水的模拟实验。分析了实验产物中液态烃的变化规律，并讨论了压力、温度及恒温时间对有机质演化的影响。实验结果表明，热模拟液态产物氯仿沥青“A”的有机碳含量为0．91％-2．55％，2GPa条件下其高峰值后移至700℃，说明高压抑制了液态烃的生成，同时压力升高有利于有机质降解产物的环化、聚合和芳构化。在400—600℃条件下，温度升高或恒温时间增长，OEP和Pr／Ph值均减小；而在700℃的恒温条件下，压力增高，OEP和Pr／Ph值均增大。说明有机质的成熟度与温度和加热时间成正相关，而压力增加抑制了有机质的成熟演化。在高压条件下，芳烃演化的主要趋势是甲基化作用，压力升高有利于甲基化反应和甲基重排。     

灰色预测模型在油气操作成本预测中的应用

油气操作成本是油气田生产消耗的主要项目，为了有效地控制油气操作成本，必须制定准确的油气操作成本计划。而油气操作成本在我国是最近几年才提出来的，数据项比较少，给油气操作成本预测带来一定的难度。为此，文章根据灰色预测的基本原理，采用灰色系统理论进行油气操作成本预测，就可以弥补对预测所需的数据少，而且也无须剔除不可比因素，只要所建模型能满足精度要求，预测结果就可以信赖。     

石化企业实时数据管理引擎设计与实现

实时数据管理系统是流程企业控制信息网络与管理信息网络平滑集成的基础，为两者的数据通讯提供桥梁。介绍了笔者在炼油化工C企业IMS建设中的实时数据管理引擎设计与开发，具有其先进性与实用性。     

乳化钻井液条件下高温高压气井气体扩散研究

高温高压下甲烷在油里的溶解度大，水包油乳化钻井液中存在油相，钻井作业中钻井液静置期间如起下钻、工具故障抢修等时间过长，储层中的甲烷气体会扩散到井眼里。在钻高含硫化氢及二氧化碳气井时，高温高压条件下天然气更有可能到达与油完全互溶的状态。文章将储层内的水平段井眼的气体扩散区域划分为4个区，外滤饼区、内滤饼区、滤液滞留区、滤液未污染区，根据外滤饼区、内滤饼区、滤液滞留区不同计算参数条件，计算预测了在使用水包油乳化钻井液情况下，储层中天然气通过扩散穿过3个区后，进入储层内井眼段环空导致的环空含气质量浓度变化，对环空内含气质量浓度随扩散时间、含油浓度因素的变化进行了定量计算。用伽略金有限元方法求解，计算表明，气体扩散量随钻井液静置时间延长而增加，水基钻井液加入油后与不加油的钻井液相比增大了气体扩散量。