利用小波参数检测砂体分布

由于砂体储层对地震反射信号产生时间和频率的影响，而小波变换正好能反映信号的时间及频率成分，所以本文利用小波变换分析了地震记录的时频特征。鉴于小波变换对信号具有局部分析能力，并能提供多尺度的小波系数，因而小波变换能更精细地用于储层预测。通过理论模型试验进一步论述了小波系数可以作为信号时频特征的量度，提出了将地震信号的小波参数作为一类新的地震属性即小波属性。在实践中可得到目的层小波属性图，了解目的层反射特征的横向变化，检测储层分布。本文认为，小波属性可以像其他地震属性参数一样，用于多属性分析。

Using wavelet parameters for detection of distribution of sand bodv.

Since the sand body reservoir have influence on seismic reflected signals in time and frequency and wavelet transform can just reflect the time and frequency components of signals ,therefore,the pa per uses wavelet transform to analyze the time-frequency feature of seismic records. In view of the capability of locally analyzing the signals and providing multi-scale wavelet coefficients that the wavelet transform has, so the wavelet transform can finely be used for reservoir prediction. The wavelet coefficients can be taken as measuring the time-frequency feature of signals that could be further demonstrated by tests of the theoretical models, The paper presented the wavelet parameters of seismic signals being taken as a new kind of seismic attributes,i, e. wavelet attributes. The map of seismic attributes of the targets can be acquired in practice where the lateral variation of reflected feature of targets is known and distribution of reservoirs is detected. The paper considered that like other seismic attributes parameters ,the wavelet attributes belong to multi-attributes analysis.