Seismic instantaneous frequency extraction based on empirical mode decomposition and wavelet transform
Zhang Meng1,2, Wang Huazhong1, Sui Zhiqiang2, Wang Xingmou2, Zhang Yunyin2
1. School of Ocean and Earth Science, Tongji University, Shanghai 200092, China;
2. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China
Abstract：Seismic data acquired in the field are typical non-linear and non-stationary signals. However the conventional method such as instantaneous frequency extraction by the Hilbert transform, is properly based on linear and stationary signal. We propose in this paper a novel approach based on empirical mode decomposition (EMD) and the wavelet transform to extract seismic instantaneous frequency. In order to avoid artificial choice by experience, a method of choosing proper intrinsic mode function (IMF) decomposed from seismic traces is put forward by matching acoustic logging data and geological sequence. A selected IMF of seismic data is used to extract instantaneous frequency by the morlet wavelet transform. Tests results on both model and field data show that the proposed approach is more effective and accurate in instantaneous frequency extraction than those from both of the Hilbert transform and the Hilbert-Huang transform.
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