子波分解技术在SN三维工区储层预测中的应用
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摘要
SN三维地震工区奥陶系一间房组呈铁板状强反射,常规反射结构分析及属性提取不能分辨出储层。利用子波分解技术,先将原始地震道分解成若干不同频率的子波,再与实钻储层的主频相结合,选取有利频率进行波形重构;然后将重构体分解成若干个不同波形的分量,分析不同分量对储层的响应敏感程度及平面展布情况,总结储层发育规律,并将其与正演模型对比分析,验证其可靠性;最后,再结合频率衰减预测含油气情况,综合预测有利区带。研究发现,地震反射层T47~T57之间的波形分解二分量对储层响应效果较好,二分量剖面上极性反转、弱振幅对应的储层发育,且含油气检测显示在SN4号断裂带附近呈现异常,为有利勘探区带。
The Ordovician Yijianfang Formation in SN seismic work area presented strong iron plate reflection,the reservoirs could not be distinguished by conventional reflection structure analysis and attribute extraction.The wavelet decomposition technique was used for decomposing the seismic trace into a number of different frequency wavelets first,selecting favorable frequency waveform for reconstruction combined with the main frequency of the drilled reservoirs,and then dividing the reconstructed 3D data into different wave components for analyzing sensitive degree of the response of different components on the reservoirs and the plane distribution,the reservoir development features were summarized and it was compared with the seismic model for proving its reliability,and the favorable oil and gas zones were predicted.The study shows that the two-component waveform decomposition between reflected layers T47 ~T57obtain better effect,and the two-component profile,reservoirs corresponding to the polarity reversal and weak amplitude are developed and oil and gas detection shows that there exists abnormality near Faulted Belt SN4,it is the beneficial area of oil and exploration.
引文
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