匹配追踪子波分解重构技术在气层检测中的应用
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摘要
川中地区震旦系岩溶风化壳储层缝洞系统复杂、非均质性强、上覆泥岩对储层地震反射的影响较大,使储层地震响应及AVO特征均不明显,给储层预测和气层检测带来了较大困难。运用基于匹配追踪算法的子波分解重构技术有效剔除了泥岩的影响,并在此基础上进行了储层预测和气层检测,均取得了良好的效果。子波分解重构技术可将以往只能从宏观上整体描述的地震数据分解为不同形状、不同频率和不同能量的子波,然后根据需要对分解得到的子波进行合理的重构,其时间分辨率和频率分辨率均较高,为含有强反射干扰的复杂储层预测和气层检测提供了新的思路和方法。
The weathering crust kar st reservoir in central Sichuan area is characterized by complex fracture-cavity system, strong heterogeneity and abnormal seismic reflection, which causes unobvious seismic response and AVO, and increases difficulties in reservoir perdition and gas detection. On the basis of matching pursuit algorithm, used wavelet decomposition and reconstruction technique to effectively eliminate the effect of mudstone, and then carried out reservoir prediction and gas detection, achieving good results. Wavelet decomposition and reconstruction technique can be used to decompose seismic data into wavelet with different shapes, frequency and energy, and then reconstruct wavelet reasonably, with higher resolution in both time domain and frequency domain. This study provides a new idea and method for complex reservoir prediction with strong reflection and gas detection.
引文
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