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在储层发育带,通常地震波波形会变复杂,所以关联维会变小。但由于地震波是有一定带宽的信号,波形受这个带宽内所有频率成分的影响,如果直接进行关联维的计算,其结果往往不能很好地反映储层。鉴于这种情况,提出了经验模态分解(EMD)与关联维相结合的方法,利用EMD对地震波进行分解,对分解后的每一个平稳的固有模函数(Intrinsic Mode Function,IMF)分量进行关联维计算,将计算结果与有效的IMF分量进行储层预测。利用该方法对XX区三叠系中油组进行了试算,取得了较好的效果。
In the zone of reservoir development, the seismic waveforms usually become complex, so the associated dimension becomes smaller. However, since the seismic wave is a signal with a certain bandwidth, the waveform is affected by all the frequency components in the bandwidth. If the correlation dimension is calculated directly, the result often fails to reflect the reservoir well. In view of this situation, this paper proposes a method combining empirical mode decomposition (EMD) with correlation dimension. EMD is used to decompose the seismic wave to correlate each stable Intrinsic Mode Function (IMF) component after decomposition. Dimensional calculation, the calculation results and effective IMF components reservoir prediction. This method was used to test the Triassic Zhongyou Formation in XX area and achieved good results.