A Study of Time-varying Seismic Wavelet and Reflection Coefficient Separation Method Based on EMD and Smooth Filtering
Science Discovery
Volume 5, Issue 2, April 2017, Pages: 118-128
Received: Apr. 20, 2017; Published: Apr. 20, 2017
Views 1112      Downloads 46
Authors
Lu Zi-hao, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Dai Yong-shou, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Gao Xu, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Zhang Peng, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Tan Yong-cheng, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Zhang Hong-qian, College of Information and Control Engineering, China university of Petroleum, Qingdao, China
Article Tools
Follow on us
Abstract
The accuracy of seismic wavelet extraction influences the accuracy of analysis and dealing for seismic data directly. In fact, the wavelet in seismic data has the characteristics of time-varying. There are many methods for wavelet extraction, but the results using existing methods are not satisfying. This paper studies a new method for the separation of seismic wavelet and reflection coefficient from seismic data using Empirical Mode Decomposition (EMD) which have the superiorities of adaptive decomposition and multi-scale analysis. Firstly, we cut the seismic data into different segmentations and regard each segmentation as stationary signals while combining the characteristics of wavelet and reflection coefficient based on the hypothesis of stationarity. Then, we do preprocessing which is an important step. After preprocessing, Mirror extension inhibit the endpoint effect. Finally, using EMD decomposes the logarithmic amplitude spectrum of each segmentation and selecting different Intrinsic Mode Functions (IMF) which are smooth and continuous restructures the wavelet. The simulation results show that this method can implement the separation of seismic wavelet and reflection coefficient precisely. This paper lay a foundation for later high-precision extraction of seismic wavelet.
Keywords
Time-Varying Wavelet Extraction, Non-stationary Signal, Preprocessing, Mirror Extension, EMD
To cite this article
Lu Zi-hao, Dai Yong-shou, Gao Xu, Zhang Peng, Tan Yong-cheng, Zhang Hong-qian, A Study of Time-varying Seismic Wavelet and Reflection Coefficient Separation Method Based on EMD and Smooth Filtering, Science Discovery. Vol. 5, No. 2, 2017, pp. 118-128. doi: 10.11648/j.sd.20170502.16
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186