基于改进匹配追踪算法的时频属性在薄储层沉积微相研究中的应用

doi:10.11720/wtyht.2018.1580

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Abstract

The matching pursuit algorithm has higher time-frequency resolution and local adaptive capability and obtains precise position both in time and frequency domain.It is difficult to apply it in practical work due to the low-frequency shadow and low computation efficiency.This paper proposes a method to improve the calculation precision and operation efficiency of Ricker wavelet matching pursuit algorithm.The accuracy of frequency localization and time resolution of time-frequency spectrum is improved by optimizing iteration scheme which improves the calculating method of atom main frequency and compressed atom's sidelobe.The efficiency of algorithm is greatly improved by adaptive acquisition of atomic parameters.By using model experiment and actual seismic data,the effect of improved algorithm is proved.And in some thin reservoir area,the distribution of sandstone is characterized well by the time-frequency slice calculated by improved algorithm.It would help the sedimentary microfacies characterization.

Key words： matching pursuit time-frequency technique peak frequency sedimentary microfacies

Received: 22 December 2017 Published: 24 October 2018

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	Articles by authors
	Shan CHEN
	Xing-You XU
	Xiao-Ling LUO
	Jing BAI
	Li-Hui LIU
	Rong LU

Cite this article:

Shan CHEN,Xing-You XU,Xiao-Ling LUO, et al. Time-frequency attribute based on modified matching pursuit algorithm and its application to sedimentary microfacies of thin reservoir area[J]. Geophysical and Geochemical Exploration, 2018, 42(5): 1006-1012.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2018.1580 OR https://www.wutanyuhuatan.com/EN/Y2018/V42/I5/1006

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