加强档案编研 为企业创新发展服务

从档案编研工作的特点、意义及工作内容入手 ,以亲身的工作实践 ,分析总结了档案编研工作的成绩和存在的问题 ,并提出了相应的对策措施     

Corrosion behaviour of NiTi endodontic instruments

Abstract

The present study investigates the influence of the sterilisation treatment conducted at 50°C in 5% sodium hypochlorite solution (NaClO) on the corrosion behaviour of endodontic instruments made of NiTi (GT Rotary and K3) and stainless steel (K file) by measuring potentiodynamic polarisation curves in the same environment at 37°C. For comparison, the electrochemical characterisation was also carried out on endodontic instruments that were not sterilised. The characterisation of the sample surface after the electrochemical tests were carried out by means of scanning electron microscopy coupled with X-ray energy dispersive spectroscopy. There was no significant influence of the sterilisation treatment on the corrosion behaviour of K file and GT Rotary endodontic instruments. However, a negative influence of the sterilisation treatment on the corrosion resistance of K3 endodontic instruments was observed, and the effect appears to be more dramatic for longer sterlisation treatment periods.     

企业档案网络化分析与对策

网络技术的发展给人类社会已带来经济结构和生活方式的变革。从石油企业的发展现状和所处环境出发,本文论述了石油企业档案工作网络化发展的迫切性和必要性,并指出实现档案工作网络化的途径和方法,即利用因特网和企业网,通过数字化档案信息,建立多媒体数据库和具有综合服务功能的网页来实现。文章还对档案网络化管理工作中存在的问题进行了对策分析。     

测井曲线组合法对浅层油气水的判别

随着油田勘探开发的不断深入,浅层油气测井评价也日益受到人们的重视。但是,现有的浅层油气测井解释方法不够完善,远不能满足浅层油气勘探的需要,为此,本文运用各种测井解释方法对中原油田有浅层测井组合资料的井进行了重新评价,提出了中子伽马曲线与感应电导率曲线组合法、中子伽马曲线与声波曲线组合法以及中子伽马与感应电导率读值交会法判别浅层油、气、水,在实际工作中得到了较好的应用。     

神经网络技术在煤层气测井评价中的应用

同常规油气勘探和开发应用一样,测井也应成为煤层气评价的有力工具。但是,煤层气的储集、产出机理与常规油气藏不大相同,目前的研究水平尚难建立一套完善的煤层气解释方法或方程,借助于神经网络技术进行煤层气测井评价,是现阶段的优选方法之一。     

社会化、开放式管理——人事档案管理的新模式

随着市场经济的发展,人事档案管理逐步向社会化、开放式管理模式发展。开放式管理具有较强的社会性,具有档案来源的广泛性和内容的复杂性,同时也带来管理和服务方式的变化。指出今后一个时期内开放式管理将与传统管理模式共存,应建立起人事档案管理的信息系统。     

应用测井约束地震反演技术描述桩106断块储集层

应用测井约束地震反演技术描述桩１０６ 断块储集层［刊］／ 刘磊, 邢正岩．．．∥石油勘探与开发．１９９９,２６（５） ．８０ ～８２桩１０６ 断块位于济阳坳陷埕东凸起北部缓坡带,是胜利油田近几年滚动勘探开发效果较好的产能建设区块。该区属多期分流河窄道沉积, 厚度薄, 油层虽较单一,但成藏主要受岩性控制, 因此勘探难度高, 开发风险大。测井约束地震反演用已知的地质信息和测井资料建立初始的波阻抗模型, 然后采用模型优选迭代算法不断修改和更新波阻抗模型, 使正演的合成地震记录与实际的地震记录达到最佳吻合, 最终的模型便是反演的结果。针对桩１０６ 断块的储集层发育情况, 建立了一套适合本区特点的处理流程,包括测井资料的分析校正、地震子波的提取、控制层位的解释、初始波阻抗模型的建立、反演参数的选取等５ 个技术环节。采用此方法精细描述储集层的空间展布,并与其它优化技术相结合,按照滚动程序高速高效勘探开发桩１０６ 断块, 取得了较好的勘探开发效果。图３ 参２（ 邹冬平摘）     

中子测井实验图版的饱和度修正和理论图版的制作

吴宏春，谢仲生，钟振千，方映东等．中子测并实验图版的饱和度修正和理论图版的制作．测井技术，１９９４，１８（５）：３３２～３３５本文讨论在中子测井模型井实验中，响应曲线和校正图版存在由于岩层的饱和度或空隙所带来的误差。本文提出应用数值模拟方法，从理论上对实验响应曲线和实验图版集进行修正，修正量约达１％～２％孔隙度。此外，进一步讨论并给出了关于饱和度校正的理论图版曲线。     

基于JSP的在线考试系统的开发与设计

基于JSP的在线考试系统的开发是为了让学校能够更好的管理学生的考试,通过互联网的方式,不仅可以方便了学生,更适合如今的网络盛行的时代。本系统分为系统管理者所辖的模块和考生用户模块两个部分。     

Univariate statistical analysis of environmental (compositional) data: Problems and possibilities

For almost 30 years it has been known that compositional (closed) data have special geometrical properties. In environmental sciences, where the concentration of chemical elements in different sample materials is investigated, almost all datasets are compositional. In general, compositional data are parts of a whole which only give relative information. Data that sum up to a constant, e.g. 100 wt.%, 1,000,000 mg/kg are the best known example. It is widely neglected that the “closure” characteristic remains even if only one of all possible elements is measured, it is an inherent property of compositional data. No variable is free to vary independent of all the others.Existing transformations to “open” closed data are seldom applied. They are more complicated than a log transformation and the relationship to the original data unit is lost. Results obtained when using classical statistical techniques for data analysis appeared reasonable and the possible consequences of working with closed data were rarely questioned. Here the simple univariate case of data analysis is investigated. It can be demonstrated that data closure must be overcome prior to calculating even simple statistical measures like mean or standard deviation or plotting graphs of the data distribution, e.g. a histogram. Some measures like the standard deviation (or the variance) make no statistical sense with closed data and all statistical tests building on the standard deviation (or variance) will thus provide erroneous results if used with the original data.