核测井仪器中的磁屏蔽研究

核测井仪器受套管剩磁的影响比较严重，常常用在探测器的周围缠绕多层坡莫合金带的方法进行磁屏蔽，由于缠绕的坡莫合金圆筒不能闭合，加上缠绕过程中坡莫合金带的形变造成材料本身磁导率的下降，传统的磁屏蔽方法的效果不好。本文介绍一种简单易行、磁屏蔽效果较好的方法，实验的结果说明用电工纯铁做探测器的外壳可以达到令人满意的效果。     

C／O测井响应随源距变化的理论研究

针对井内介质分别为水、油，地层分别为３５％孔隙度饱和水砂和油砂的４种情况，采用蒙特卡罗方法模拟外径φ８９碳氧比测井仪不同源距处的非弹性散射伽马能谱。通过分析地层或井内介质不同时的Ｃ／Ｏ差值随源距变化的关系，为设计仪器推荐源距参数。     

一种新的含水率校正方法

从研究流体流动规律出发,结合模拟井实验结果,建立了多参数、非线性的半理论和半实验含水率校正模型,提出了反映两相滑脱效应的滑动比概念,其计算方法物理意义清晰并具有明确的收敛边界。与模拟井实验结果进行对比,使用平方法降低了含水率校正误差。     

莺歌海地区低电阻率气层测井响应特征与判别方法

文中概述了莺歌海地区低电阻率气层的主要测井响应特征,详细分析了低电阻率气层的成因,并提出了测井判别方法.特别强调指出局部发育的菱铁矿对该区地层电阻率无明显影响.     

测井数据实时采集与接口设计

介绍了一种采用改进型的ＣＬＳ３７００数控测井系统对微电阻率扫描仪数据采集与控制接口的设计及实现方法。基于ＣＬＳ３７００数控测井仪和ＦＭＳ仪采用８９Ｃ５１单片机设计出通信接口，解决了微电阻率方法。基于ＣＬＳ３７００数控测井仪和ＦＭＳ仪采用８９Ｃ５１单片机设备出通信接口电路，解决了微电阻主扫描仪现现场实时处理中的瓶颈问题。     

二阶A型Cooper变换的增强型

对二阶Ａ型Ｃｏｏｐｅｒ变换进行增强，放宽可用性条件，并证明了其正确性，最后举例说明其应用。     

小波分析及其在时变滤波和信号分离中的应用

利用小波变换具有的多时频分辨率特性，对地震勘探和测井信号这类非平衡信号进行分析，可以充分利用信号的时间－频率特性。文中介绍了小波变换的基本概念及其在地震勘探信号的时变滤波和声波全波列测井信号的信号分离中的应用，实例表明，小波变换在地球物理信号中具有广阔的应用前景。图５参７     

Numerical solution of the kinematic dynamo problem for Beltrami flows in a sphere

The article discusses computational aspects of the kinematic problem of magnetic field generation by a Beltrami flow in a sphere. Galerkin's method is applied with a functional basis consisting of Laplace operator eigenfunctions. Dominant eigenvalues of the magnetic induction operator and associated magnetic eigenmodes are obtained numerically for a certain Beltrami flow for magnetic Reynolds numbers up to 100. The eigenvalue problem is solved by a highly optimized iterative procedure, which is quite general and can be applied to numerical treatment of arbitrary linear stability problems.     

Post-Supervised Template Induction for Information Extraction from Lists and Tables in Dynamic Web Sources

Dynamic web sites commonly return information in the form of lists and tables. Although hand crafting an extraction program for a specific template is time-consuming but straightforward, it is desirable to automatically generate template extraction programs from examples of lists and tables in html documents. Supervised approaches have been shown to achieve high accuracy, but they require manual labelling of training examples, which is also time consuming. Fully unsupervised approaches, which extract rows and columns by detecting regularities in the data, cannot provide sufficient accuracy for practical domains. We describe a novel technique, Post-supervised Learning, which exploits unsupervised learning to avoid the need for training examples, while minimally involving the user to achieve high accuracy. We have developed unsupervised algorithms to extract the number of rows and adopted a dynamic programming algorithm for extracting columns. Our method achieves high performance with minimal user input compared to fully supervised techniques.