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地震反射信号是地下多种地质因素(地层岩性、物性、厚度及组合)共同作用的一个复合信号,基于传统地震数据难以开展针对山西郑庄二叠系山西组3号煤层可采煤层气含气性的准确识别。利用子波分解与重构技术,将常规地震数据道分解为不同频率子波的集合,结合研究区钻井资料含气段储层的频谱分析结果,确定优势频段进行子波重构。利用重构后得到的地震记录与已钻井进行比对分析,该地区钻遇煤层具有明显的“高含气强振幅,低含气弱振幅”特征,利用该特征不仅能有效地区分高含气井与干井,而且为后期井位部署提供了依据和支撑,并取得了较好的应用效果。
Seismic reflection signal is a composite signal of many underground geologic factors (formation lithology, physical property, thickness and combination). Based on the traditional seismic data, it is difficult to carry out aiming at the recoverable CBM Gas-bearing accurate identification. Using wavelet decomposition and reconstruction techniques, the conventional seismic data track is decomposed into a set of different frequency wavelets. Based on the spectrum analysis results of reservoirs in the gas bearing section of drilling data in the study area, the dominant frequency band is determined for wavelet reconstruction. Using the reconstructed seismic records to compare with those of the drilled wells, the coal seam in this area has obvious characteristics of “high gas-bearing amplitude, low gas-bearing amplitude and weak amplitude”, which not only can effectively distinguish between high Gas wells and dry wells, but also provide the basis and support for the late well location, and achieved good application results.