储层裂缝特征测井解释方法综述

为了更好地研究裂缝性砂砾岩储层和其它裂缝性储层裂缝的测井解释问题,综述了目前在裂缝性储层裂缝测井解释中主要采用的常规评价、人工神经网络和斯通利波３类方法在识别裂缝带和定量计算储层裂缝参数两个方面的应用原理和研究现状,并指出了今后的一些研究方向。     

The introduction of neural network system and its applications in rock engineering

The neural network system has been developing very fast recently. It has been widely used in many industries such as automation, nuclear power plant, chemical industry, etc. Neural network systems have a great advantage in dealing with problems in which many factors influence the process and result, and the understanding of this process is poor, and there are experimental data or field data. In rock engineering, many problems are of this nature. In this paper, a brief introduction to neural network systems is given. Problems such as what is a neural network, how it works and what kind of advantages it has are discussed. After this, several applications in rock engineering, made by us, are presented. Case 1 is ore boundary delineation. In this case, the rock are divided into three classes, i.e.: (1) waste rock; (2) semi-ore; and (3) ore for mining purposes. The neural network system built can judge whether it is ore, semi-ore or waste rock along the borehole according its corresponding geophysical logging data, such as gamma-ray, gamma-gamma, neutron and resistivity. Case 2 is aggregate quality prediction. In this case, the quality parameters: (1) impact value; (2) abrasion value I; and (3) abrasion value II are predicted by using a neural network system based on density, point load, content of quarts and content of brittle minerals. Case 3 is rock indentation depth prediction. In this case, the rock indentation depth under indentation load is predicted by the established neural network system based on the indentation load on rock, indenter type and rock mechanical properties, such as uniaxial compressive strength, Young's modulus. Poisson's ratio, critical energy release rate and density. In all these cases, the neural network systems have been applied successfully. The testing results are satisfactory and better than the existing techniques.     

红河断裂北段土壤中断层气含量变化特征

介绍了作者在滇西地震预报实验场区进行的土壤中断层气研究结果．沿红河断裂带断层气组分Ｈ２,ＣＯ２,Ｈｇ和Ｒｎ含量很高．沿该断裂洱源测线断层气Ｈ２,ＣＯ２和Ｒｎ含量最低,向南Ｈ２,ＣＯ２含量逐渐升高,其中以定西岭测线的Ｈ２,ＣＯ２含量最高．表明在该段断裂活动强烈,而洱源一带断裂活动较弱．     

我国首座卫星信道数字化地震台网落成

文章较为详细地介绍了我国第一座卫星信道数字化地震观测台网各配套仪器的性能,使用环境及整套系统的运行情况和目前在地震观测中所起的作用。作者展望了该系统的发展前景及其对我国地震观测事业的影响。     

采样过程和模数转换对记录的影响及“真实地面运动”获取——地震学上用的数字信号处理的基本原理和实例(讲座3)

通过采样过程和模数转换对记录影响的分析,讨论了数字地震仪记录的动态范围,以及如何使用谱分析方法去除仪器对最终记录的影响,以便获取“真实地面运动”的近似。     

长白山天池火山地震观测与应力状态的初步研究

１９９７年６～９月在长白山天池火山区布设了数字化流动地震观测台网,对长白山火山地震活动进行了近震源观测,获取了大量与火山活动相关的地震信息。通过本次观测及资料处理,对长白山火山地震及其所反映出的应力状态有了一定的认识,为长白山火山活动研究提供了科学依据。     

中国数字地震台网数字化地震资料使用指南

由于数字地震记录仪具有记录频带宽,分辨率高,动态范围大以及易于用计算机处理等优点,所以数字地震台网产出的数字地震资料成为地震活动性,震源机制,地球内部研究,地震监测及预报等的最基本数据源。     

Magmatic Network Structure of Volcanic Rocks in the Shengli Oilfield, Eastern China

Types of polymerized molecular network structure and degree of bond breakdown for glass phases of magmatic inclusions and glassy matrix in volcanic rocks from the Shengli oilfield have been defined by the laser Raman spectroscopic investigation. There are significant differences in types of polymerized molecular network structure and degree of bond 'breakdown of the magmatic glass phases between the non-CO2 and COa gas pools: magmatic glass phases of fluid inclusions and matrix in volcanic rocks from the CO2 gas pool contain more sheet network molecules and have a greater degree of bond beakdown than those from the non-CO2 gas pool; and when gas bubbles occur in evolving magma, magma saturated with volatile components has more sheet network molecules. The results suggest the magma-degassing mechanism of the formation of CO2 gas pools in the Shengli oilfield.     

GPS技术在金川露天矿边坡变形监测中的应用

本文结合金川露天矿边坡变形GPS监测研究,主要论述监测基点的选择,基点WGS-84坐标的确定,变形监测网的布设,GPS数据采集、处理和质量,坐标转换的实施等,给出反演推出的若干四等三角点及其它控制点的变形数据,这些数据和造成变形的物理成因符合得很好,最后概括出GPS技术应用于变形观测的若干优点。     

浅谈数字化时代的电视产业

本文闸述了数字化时代,对服务于电视的高清晰度设备数字化摄像机的功能作了简单介绍以及后期非线性编辑给从业人员带来的要求。