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71.
利用钻孔超声成像的图像特征进行岩石风化程度分类   总被引:2,自引:0,他引:2  
孔广胜 《物探与化探》2005,29(4):367-368,373
钻孔超声成像方法能精确地反映井壁的光滑情况, 进而判断岩石的风化发育程度, 确定风化层的厚度。阐述了钻孔超声成像的走时和振幅图像特征, 给出了1个在香港地区的应用实例。  相似文献   
72.
1975 ̄1991年间,广东河源市新丰江水库区发生了5次ML4.7 ̄5.1级地震。距震中10km以内的河源黄子洞地电台记录到了震前不同程度的地电阻率异常变化。采用距平法消除年变干扰后异常延续时间一般为3个月左右,电阻率异常下降幅度在1%左右。利用《指南》中的震兆异常信度分析法确认其异常信度后,利用模糊信息处理法对异常判定地震三要素进行了计算,结果与实际基本符合。  相似文献   
73.
利用动测桩中的桩底反射信号研究了应力波在桩体和土体中的衰减情况。结果表明,应力波在桩体中的衰减比在土中小的多,在考虑了桩周土与反射系数的关系后,尝试给出应用桩底反射信号与桩头人射信号振幅之比判定单桩承载力相对大小的基本理论和初步研究结果。  相似文献   
74.
This paper presents a geometrically based algorithm for computing synthetic seismograms for energy transmitted through a 3-D velocity distribution. 3-D ray tracing is performed to compute the traveltimes and geometrical spreading (amplitude). The formulations of both kinematic and dynamic ray-tracing systems are presented. The two-point ray-tracing problem is solved by systematically updating the initial conditions and adjusting the ray direction until the ray intersects the specified endpoint. The amount of adjustment required depends on the derivatives of the position with respect to the given starting angles between consecutive rays. The algorithm uses derivatives to define the steepest-descent direction and to update the initial directions. The convergence rate depends on the complexity of the model.
Test seismograms compare favourably with those from a 2-D asymptotic ray theory algorithm and a 3-D Gaussian-beam algorithm. The algorithm is flexible in modelling arbitrary source and recorder geometries for various smoothly varying 3-D velocity distributions. The algorithm is further tested by simulating surface-to-tunnel vibroseis field data. Shear waves as well as compressional waves may be approximately included. Application of the algorithm to a data set from the Rainier Mesa of the Nevada Test Site produced a good fit to the transmitted (first arrival) traveltimes and amplitudes, with approximately 15 per cent variation in the local 3-D velocity.  相似文献   
75.
The plane-wave reflection and transmission coefficients at a plane interface between two anisotropic media constitute the elements of the elastic scattering matrix. For a 1-D anisotropic medium the eigenvector decomposition of the system matrix of the transformed elasto-dynamic equations is used to derive a general expression for the scattering matrix. Depending on the normalization of the eigenvectors, the expressions give scattering coefficients for amplitudes or for vertical energy flux.Computing the vertical slownesses and the corresponding polarizations, the eigenvector matrix and its inverse can be found. We give a simple formula for the inverse, regardless of the normalization of the eigenvectors. When the eigenvectors are normalized with respect to amplitudes of displacement (or velocity), the calculation of the scattering matrix for amplitudes is simplified.When the relative changes in all parameters are small, a weak-contrast approximation of the scattering matrix, based on the exactly determined polarization vectors in an average medium, is obtained. The same approximation is also derived directly from the transformed elasto-dynamic equations for a smooth vertically inhomogeneous medium, proving the consistency of the approximation.For monoclinic media, with the mirror symmetry plane parallel to the interface, the approximative scattering matrix is given in terms of analytic expressions for the non-normalized eigenvectors and vertical slownesses. For transversely isotropic media with a vertical axis of symmetry (VTI) and isotropic media, explicit solutions for the weak-contrast approximations of the scattering matrices have been obtained. The scattering matrix for amplitudes for isotropic media is well known. The scattering matrix for vertical energy flux may have applications in AVO analysis and inversion due to the reciprocity of the reflection coefficients for converted waves.Numerical examples for monoclinic and VTI media provide good agreement between the approximative and the exact reflection matrices. It is, however, expected that the approximations cannot be used when the symmetry properties of the two media are very different. This is because the approximation relies on a small relative contrast between the eigenvectors in the two media.Presented at the Workshop Meeting on Seismic Waves in Laterally Inhomogeneous Media, Castle of Trest, Czech Republic, May 22–27, 1995.  相似文献   
76.
1995年7月12日至1996年2月3日短短7个月,云南地区连续发生了孟连西中缅边境7.3级、武定5.5级、丽江7.0级3次强震,本文研究了近期这几次强震前5个地震台地震图垂直分量S、P波最大振幅比的时空演化特征,动态追踪了振幅比明显偏离平稳态的突变过程。发现主震前5—8年,7级大震震中100km范围出现振幅比高(低)值突变,6级强震震中130km范围出现振幅比高值突变,当振幅比的突变在缓升(降)的背景上骤升(降),或突变异常的地震次数明显增加,则中长期异常进入中短期阶段。在强震震中130km范围内的地震台(近台)振幅比值高达15.2以上,而远离强震震中250km以外的地震台(远台)振幅比最大值仅为9.8,近台的突变幅度至少比远台大30%。而强震成组发生前一年半时间内,位于强震震中110km范围内的近台振幅比的突变幅度比远在250km外远台大55—75%。对振幅比的突变和时空演化特征从非线性动力学模型和模拟实验结果进行了初步成因探讨。  相似文献   
77.
The amplitude response of a LCR gravimeter with the SRW-E feedback was determined on a vertical vibrating platform. The ink-pen recorder was connected parallel with the digital voltmeter input to obtain an analog response of the gravimeter to the harmonic motion of the base with a peak-to-peak amplitude of 10 m and periods excited in an interval of 4 - 10 s as by the ground motion of meteorological microseisms, and in the interval 10 -100 s as by surface waves of distant strong earthquakes. In the first interval, an unexpected maximum of the amplitude response was observed with the double amplitude of apparent 6,5 Gal (6.5 × 10 –8 m/s 2 ) at a period of 4.8 s, and a baseline shift with the amplitude of–64Gal was observed at the same period. The value of this direct component cannot be separated from the effect of the Earth's gravity field. In the second interval, the amplitude response of the gravimeter displayed one expected maximum at a period of 40 s with the double amplitude of 8.1Gal. At the usual level of microseisms with a peak-to-peak amplitude of up to 2 m the fluctuation of the gravimeter on the direct baseline shifted by –4.9 Gal was estimated at 1 Gal. With typical Rayleigh surface waves with periods of 20 s and double amplitudes of up to 100 m, the fluctuation reached 67 Gal.  相似文献   
78.
高阶脉冲标定器及观测系统幅频特性   总被引:1,自引:1,他引:0  
在前阶段理论研究的基础上,搜寻到了几种高阶脉冲波形,其频谱的低频分量平坦,高频分量更丰富。据此制成功能完善,性能优良的标定器。用高阶脉冲标定器产生的标定电流来激励拾震器,使观测系统产生相应的响应,由计算机采集该响应,并进行富氏变换及相关运算。由此可得到系统的幅频特性K(ω),为暂态标定结果。对于速度 平坦型观测系统暂态标定与稳定态标定所得的特性曲线完全重合,即标定精度相同。  相似文献   
79.
Three types of seismic data recorded near Coalinga, California were analyzed to study the behavior of scattered waves: 1) aftershocks of the May 2, 1983 earthquake, recorded on verticalcomponent seismometers deployed by the USGS; 2) regional refraction profiles using large explosive sources recorded on essentially the same arrays above; 3) three common-midpoint (CMP) reflection surveys recorded with vibrator sources over the same area. Records from each data set were bandpassed filtered into 5 Hz wide passbands (over the range of 1–25 Hz), corrected for geometric spreading, and fit with an exponential model of amplitude decay. Decay rates were expressed in terms of inverse codaQ (Q c –1 ).Q c –1 values for earthquake and refraction data are generally comparable and show a slight decrease with increasing frequency. Decay rates for different source types recorded on proximate receivers show similar results, with one notable exception. One set of aftershocks shows an increase ofQ c –1 with frequency.Where the amplitude decay rates of surface and buried sources are similar, the coda decay results are consistent with other studies suggesting the importance of upper crustal scattering in the formation of coda. Differences in the variation ofQ c –1 with frequency can be correlated with differences in geologic structure near the source region, as revealed by CMP-stacked reflection data. A more detailed assessment of effects such as the depth dependence of scattered contributions to the coda and the role of intrinsic attenuation requires precise control of source-receiver field geometry and the study of synthetic seismic data calculated for velocity models developed from CMP reflection data.  相似文献   
80.
A study of the lithogeochemistry of metavolcanics in the Ben Nevis area of Ontario, Canada has shown that factor analysis methods can distinguish lithogeochemical trends related to different geological processes, most notably, the principal compositional variation related to the volcanic stratigraphy and zones of carbonate alteration associated with the presence of sulphides and gold. Auto- and cross-correlation functions have been estimated for the two-dimensional distribution of various elements in the area. These functions allow computation of spatial factors in which patterns of multivariate relationships are dependent upon the spatial auto- and cross-correlation of the components. Because of the anisotropy of primary compositions of the volcanics, some spatial factor patterns are difficult to interpret. Isotropically distributed variables such as CO 2 are delineated clearly in spatial factor maps. For anisotropically distributed variables (SiO 2 ), as the neighborhood becomes smaller, the spacial factor maps becomes better. Interpretation of spatial factors requires computation of the corresponding amplitude vectors from the eigenvalue solution. This vector reflects relative amplitudes by which the variables follow the spatial factors. Instability of some eigenvalue solutions requires that caution be used in interpreting the resulting factor patterns. A measure of the predictive power of the spatial factors can be determined from autocorrelation coefficients and squared multiple correlation coefficients that indicate which variables are significant in any given factor. The spatial factor approach utilizes spatial relationships of variables in conjunction with systematic variation of variables representing geological processes. This approach can yield potential exploration targets based on the spatial continuity of alteration haloes that reflect mineralization.List of symbols c i Scalar factor that minimizes the discrepancy between andU i - D Radius of circular neighborhood used for estimating auto- and cross-correlation coefficients - d Distance for which transition matrixU is estimated - d ij Distance between observed valuesi andj - E Expected value - E i Row vector of residuals in the standardized model - F(d ij) Quadratic function of distanced ij F(d ij)=a+bd ij+cd ij 2 - L Diagonal matrix of the eigenvalues ofU - i Eigenvalue of the matrixU;ith diagonal element ofL - N Number of observations - p Number of variables - Q Total predictive power ofU - R Correlation matrix of the variables - R 0j Variance-covariance signal matrix of the standardized variables at origin;j is the index related tod andD (e.g.,j=1 ford=500 m,D=1000 m) - R 1j Matrix of auto- and cross-correlation coefficients evaluated at a given distance within the neighborhood - R m 2 Multiple correlation coefficient squared for themth variable - S i Column vectori of the signal values - s k 2 Residual variance for variablek - T i Amplitude vector corresponding toV i;ith row ofT=V –1 - T Total variation in the system - U Nonsymmetric transition matrix formed by post-multiplyingR 01 –1 byR ij - U i Componenti of the matrixU, corresponding to theith eigenvectorV i;U i= iViTi - U* i ComponentU i multiplied byc i - U ij Sum of componentsU i+U j - V i Eigenvector of the matrixU;ith column ofV withUV=VL - w Weighting factor; equal to the ratio of two eigenvalues - X i Random variable at pointi - x i Value of random variable at pointi - y i Residual ofx i - Z i Row vectori for the standardized variables - z i Standardized value of variable  相似文献   
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