子波分解与重构技术在储层预测中的应用

Application of Wavelet Decomposition and Reconstruction Technique in Reservoir Prediction

在地震勘探中,地震数据可以分解为不同的子波,根据不同特征的地质体选择不同频率或振幅的地震子波,按照其分解后的位置重新组合成新的地震道,并依据新的地震数据体属性来预测储层与流体性质。模型正演已证实地层中的高速层对其下储层在地震反射特证的影响,通过地震子波与分解技术去除高速层所引起的强地震反射层,可将其下有利储层有效地反映出来。该技术在塔河油田于奇地区奥陶系的应用效果较好,为有利储层的预测提供了有利的技术支持。

In seismic exploration,seismic data were divided into different wavelets.Seismic wavelets of different frequencies or amplitudes were selected according to the characteristics of the geological bodies and new seismic traces were composed based on the location after the decomposition.The new seismic attributes were provided for the reservoir and fluid prediction.The results of forward modeling have already confirmed that there existed influence of high-speed layers on the seismic reflection characteristics of the reservoirs below it.The high seismic reflecting layers caused by highspeed layers were removed by seismic wavelet decomposition technique and the favorable reservoirs were reflected effectively.The technology is used in Ordovician formation of Tahe Oilfield and good application result is obtained,it provides a good technical support for the prediction of favorable reservoirs.