【摘要】 针对地震信号是具有一定带宽的非平稳信号,波形受这个带宽内所有频率影响,提出结合经验模态分解和广义希尔伯特的储层预测方法,并通过经验模态分解将地震信号分解为频率由高到低的一系列本征模函数,对分解后的每一个本征模函数分量作广义希尔伯特计算。通过与已知井储层发育情况对比,从中优选出了对储层响应敏感的本征模函数分量进行储层预测。实际资料计算结果表明,结合经验模态分解和广义希尔伯特的储层识别方法,具有较强的噪音压制能力,能够精确刻画储层形态。更多还原

【Abstract】 Seismic signal is a complex non-stationary signal with a definite frequency bandwidth,and the waveform is affected by all the frequency components in the band.So a new method for reservoir prediction combined empirical mode decomposition with generalized Hilbert transform is proposed.The empirical mode decomposition(EMD) technique adaptively decomposes the seismic signals into a series of intrinsic mode functions(IMF),and every IMF component is carried out the GHT calculation.By comparing the results with reservoir development in fixed wells,the IMF components sensitive to the reservoir are optimized and used to carry out reservoir prediction.The computational result of actual data shows that the method based on EMD and GHT can be used to describe the reservoir accurately.更多还原