NOISE MODEL ESTIMATION IN MULTIMEASUREMENT DATA
    1.
    发明申请
    NOISE MODEL ESTIMATION IN MULTIMEASUREMENT DATA 审中-公开
    多媒体数据中的噪声模型估计

    公开(公告)号:US20160109591A1

    公开(公告)日:2016-04-21

    申请号:US14882903

    申请日:2015-10-14

    Abstract: Various implementations described herein are directed to methods for processing seismic data, including estimating a spectral noise power of multi-measurement seismic data received from a multi-dimensional seismic sensor array having multiple seismic sensors. The methods may include receiving a shot record of multi-measurement seismic data in time-domain, partitioning the shot record into overlapping time-space windows, and computing a frequency-domain spectrum for each time-space window. The methods may include computing a signal presence probability for each time-space window using the frequency-domain spectrum and prior probabilities of signal presence and absence for each time-space window. The methods may include iteratively updating a collective spectral noise power by recursively estimating the spectral noise power of a current time-space window based on the frequency spectrum for the current time-space window, the signal presence probability computed for the current time-space window, and a previously estimated spectral noise power of a previous time-space window.

    Abstract translation: 本文描述的各种实现涉及用于处理地震数据的方法,包括估计从具有多个地震传感器的多维地震传感器阵列接收的多测量地震数据的频谱噪声功率。 这些方法可以包括在时域中接收多测量地震数据的拍摄记录,将拍摄记录划分成重叠的时空窗口,以及计算每个时空窗口的频域频谱。 该方法可以包括使用每个时空窗口的频域频谱和信号存在和不存在的先验概率来计算每个时空窗口的信号存在概率。 这些方法可以包括通过基于当前时空窗口的频谱递归地估计当前时空窗口的频谱噪声功率来迭代地更新总谱噪声功率,为当前时空窗计算的信号存在概率 ,以及先前估计的前一时空窗的频谱噪声功率。

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