子波分解与重构技术在山西郑庄煤层含气性识别中的应用
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摘要
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 compound signal caused by a number of geological factors under the ground(such as lithologic characters of formation, physical properties, thickness and assemblage). The traditional seismic data are difficult to accurately identify recoverable CBM in No.3 coal measure of Permian Shanxi Formation in Zhengzhuang area of Shanxi. Wavelet decomposition and reconfiguration technique is used to divide conventional seismic data trace into wavelet set of different frequencies. Combined with the results from spectrum analysis of the CBM bearing measure and drilling data in the research zone, the favorable frequency band is determined for wavelet reconfiguration. Comparing the seismic data acquired from reconfiguration with the drilling data for analysis, it is found that the coal measures in this area are obviously characterized as "strong amplitude for high gas content and low amplitude for low gas content." Such characteristics can be used to effectively differentiate high gas-bearing wells from dry wells and provide the basis and support for determination of well positions in the lateron stage. The technique has achieved good results for application.
引文
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