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IDENTIFICATION OF FRACTURE ZONE IN FIELD 'A' USING MAXIMUM ENTROPY METHOD

机译:利用最大熵法识别“ A”区断裂带

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A quick method to identify the lateral distribution of fracture zone based on the seismic spectra has been done. The spectral analysis was done by using the Maximum Entropy Method (MEM). It is well known that higher frequency components of seismic signal are significantly absorbed by the fracture. This absorption affects the seismic data and the dominant frequency of the seismic data will be shifted to the lower frequency. To analyze this change, standard method such as Fourier transform or Wigner distribution can be used. In this work, however, the MEM was used to analyze the seismic spectra. The MEM has narrower spectra compared to the Fourier transform or Wigner distribution and hence will describe changes in frequency better than the Fourier transform or Wigner distribution. The MEM has been applied to seismic data in Field "A" and the result has been able to identify lateral distribution of fracture zone. The result also showed that there are different compartments of fracture in the field.
机译:已经完成了一种基于地震波谱识别裂缝带横向分布的快速方法。通过使用最大熵方法(MEM)进行光谱分析。众所周知,地震信号的高频分量被裂缝明显吸收了。这种吸收会影响地震数据,地震数据的主频将移至较低频率。为了分析这种变化,可以使用诸如傅立叶变换或威格纳分布的标准方法。但是,在这项工作中,MEM用于分析地震频谱。与傅立叶变换或维格纳分布相比,MEM的光谱更窄,因此比傅立叶变换或维格纳分布更能描述频率变化。 MEM已应用于“ A”场中的地震数据,结果已能够识别裂缝带的横向分布。结果还表明,在现场存在不同的裂缝间隔。

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