泥页岩井壁稳定研究及在临盘地区的应用

从岩石力学和物理化学两个主要因素简要分析了井壁失稳的机理，指出泥页岩井壁失稳是由力学与化学两方面因素共同作用的结果。钻井液与泥页岩存在化学势差，并改变了井壁附近的孔隙压力，降低岩石强度。借助于井壁处有效应力的变化,将泥页岩与钻井液相互作用时页岩水化所产生的力学效应与纯力学效应结合起来，计算出任意井斜方位井眼围岩应力状态，利用测井资料求出有关岩石力学参数和Mohr Couloumb准则，计算得出防塌的临界钻井液密度。     

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.     

The effect of ionic cross-links on the deformation behavior of homoblends made of poly(styrene-co-styrenesulfonic acid) and poly(styrene-co-4-vinylpyridine)

Deformation behavior of stoichiometric blends made from poly(styrene-co-styrenesulfonic acid) (SPS) and poly(styrene-co-4-vinylpyridine) (SVP) was investigated by TEM observation of strained thin films. An FTIR investigation revealed that ionic cross-links were formed between the component polymers upon blending due to intermolecular ion-ion interactions, which arose from proton transfer from sulfonic acid groups to pyridine groups. TEM observations indicate that the deformation mode of the blends changed from crazing only to crazing plus shear deformation, with the shear contribution becoming larger, as the ion content in the blends increased. Such changes in deformation mode can be understood as arising from an increase in the ‘effective’ strand density due to the formation of ionic cross-links upon blending. It was also found that the ionic cross-links via pyridinium cation/sulfonate anion ion pairs were more effective in inducing the transition of deformation mode than ionic cross-links via -SO₃⁻/Na⁺ or -SO₃⁻/Ca²⁺ ion pairs.     

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。     

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。     

井喷失控预警的远距离自动调焦控制研究

井喷失控是石油及天然气钻井、完井过程可能出现的灾难性事故，给人类生命财产造成严重伤害，污染环境，破坏地下资源以及在城市火灾、森林火灾、环境变化等监测工作中常需要远距离目标监测，为了获得高清晰的实时图像数据，需要实时自动调焦。通过系统分析远距离相机离焦的原因，建立了一个实时调焦数学模型，并以此为基础研制了一种新的对应距离和温度变化的离焦补偿控制系统。该系统采用微型步进电机实现智能控制，通过监测目标距离确定监测相机的初始焦距，以及环境温度变化的实时反馈实现焦距的实时控制，使相机可以在－40～125 ℃范围内获得清晰、稳定的远距离图像。该系统适用于井喷失控石油及天然气火灾、城市火灾、森林火灾、环境变化等远距离目标的实时监测。     

一种分析碳酸盐岩孔隙系统数字图像的新方法

碳酸盐岩的孔隙类型多，孔径变化范围大，孔隙系统结构复杂，研究难度大。长期以来，是利用光学显微镜法、毛细管压力分析法、岩石孔隙系统复制法和图像分析仪法等方法或其中几种方法配合来研究碳酸盐岩孔隙系统。随着计算机图像技术的迅速发展和日益完善，借助该项技术通过碳酸盐岩孔隙系统数字图像来研究碳酸盐岩孔隙系统已经成为现实。文章提出一种研究碳酸盐岩孔隙系统数字图像的新方法。通过样品光薄片的光学显微镜（OM）数字图像和环境扫描电子显微镜（ESEM）数字图像二值化识别孔隙；构造孔隙度、孔隙贡献率和孔隙形状参数的计算公式用于数字图像分析，得到孔隙大小分布和孔隙形状分布。在此基础上，总结碳酸盐岩孔隙参数对其渗透率的控制作用。与传统的孔隙系统研究方法相比，该方法与计算机图像技术紧密结合，具有定量、快速的明显优势。