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    • 2. 发明申请
    • ATTENUATION OF UNWANTED ACOUSTIC SIGNALS BY SEMBLANCE CRITERION MODIFICATION
    • 通过SEMBLANCE标准修改减少无声信号
    • WO2010083180A3
    • 2010-10-14
    • PCT/US2010020835
    • 2010-01-13
    • SCHLUMBERGER SERVICES PETROLSCHLUMBERGER CA LTDSCHLUMBERGER HOLDINGSSCHLUMBERGER TECHNOLOGY BVPRAD RES & DEV LTDBOSE SANDIPDUMONT ALAINVALERO HENRI-PIERRE
    • BOSE SANDIPDUMONT ALAINVALERO HENRI-PIERRE
    • E21B47/14E21B47/16G01V1/40
    • G01V1/48
    • Methods and related systems are described for modified semblance criterions based on the approach of thresholding the signal energy. A first criterion is derived by posing the problem as that of detecting a signal with energy (or amplitude) greater than the specified threshold and deriving the generalized likelihood ratio test statistic. A second criterion is derived using the same method by posing the problem as that of rejecting any signal with energy (or amplitude) below a specified threshold and detecting it if its energy is above another threshold greater than or equal to the first. These appropriately modify the original semblance criterion which is shown to be equivalent to the GLRT test statistic in the absence of any threshold on the signal amplitude. In addition simpler modifications are also described. Tests on synthetic data illustrate the effectiveness of all these modifications which perform comparably well at suppressing unwanted arrivals while accurately processing the desired signals.
    • 基于阈值信号能量的方法描述了修改的相似标准的方法和相关系统。 通过将问题作为检测具有大于指定阈值的能量(或幅度)的信号的问题得出第一标准,并导出广义似然比检验统计量。 通过将问题作为拒绝具有低于指定阈值的能量(或振幅)的任何信号的问题,通过使用相同的方法导出第二准则,并且如果其能量高于大于或等于第一阈值的阈值,则检测它。 这些适当地修改了在信号幅度没有任何阈值的情况下显示为等同于GLRT检验统计量的原始相似标准。 另外还描述了更简单的修改。 对合成数据的测试说明了所有这些修改的有效性,其在精确地处理期望的信号的同时抑制不期望的到达而相当好地进行。
    • 9. 发明申请
    • DISPERSION EXTRACTION FOR ACOUSTIC DATA USING TIME FREQUENCY ANALYSIS
    • 使用时频分析对声音数据进行分散提取
    • WO2009035848A3
    • 2010-08-19
    • PCT/US2008074440
    • 2008-08-27
    • SCHLUMBERGER SERVICES PETROLSCHLUMBERGER CA LTDSCHLUMBERGER HOLDINGSSCHLUMBERGER TECHNOLOGY BVPRAD RES & DEV LTDBOSE SANDIPVALERO HENRI PIERREAERON SHUCHIN
    • BOSE SANDIPVALERO HENRI PIERREAERON SHUCHIN
    • G01V1/48
    • G01V1/48
    • This invention pertains to the extraction of the slowness dispersion characteristics of acoustic waves received by an array of two or more sensors by the application of a continuous wavelet transform on the received array waveforms (data). This produces a time-frequency map of the data for each sensor that facilitates the separation of the propagating components thereon. Two different methods are described to achieve the dispersion extraction by exploiting the time frequency localization of the propagating mode and the continuity of the dispersion curve as a function of frequency. The first method uses some features on the modulus map such as the peak to determine the time locus of the energy of each mode as a function of frequency. The second method uses a new modified Radon transform applied to the coefficients of the time frequency representation of the waveform traces received by the aforementioned sensors. Both methods are appropriate for automated extraction of the dispersion estimates from the data without the need for expert user input or supervision
    • 本发明涉及通过对接收到的阵列波形(数据)应用连续小波变换来提取由两个或更多个传感器阵列接收的声波的慢度色散特性。 这产生用于每个传感器的数据的时间 - 频率图,其有助于在其上分离传播部件。 描述了两种不同的方法来通过利用传播模式的时间频率定位和作为频率的函数的色散曲线的连续性来实现色散提取。 第一种方法使用诸如峰值的模态图上的一些特征来确定每种模式的能量的时间轨迹作为频率的函数。 第二种方法使用新的修改的Radon变换,其应用于由上述传感器接收的波形迹线的时间频率表示的系数。 这两种方法适用于从数据中自动提取色散估计值,而无需专家用户输入或监督