一种基于连续补偿函数的时变增益限反Q滤波方法

doi:10.11720/wtyht.2021.1160

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Abstract

Inverse Q filtering is one of the practical methods for improving the resolution and preserving the amplitude of seismic data,and hence it has important practical value in seismic reservoir prediction.Researchers have been studying the function of amplitude for a long time,and have found that the inverse Q filtering method using time-varying amplitude compensation function is one of the current research and improvement directions.In this paper,by studying several commonly used and effective inverse Q filtering methods,a time-varying gain limit inverse Q filtering method based on the Teager-Kaiser energy principle to obtain the gain limit of the amplitude compensation function is proposed,which improves the traditional inverse Q filter.The new method calculates the time-varying gain limit of the compensation function based on a smooth continuous function instead of the piecewise function or cut-off frequency used in traditional inverse Q filtering.Therefore,the new method has the advantage of stably adjusting the time-varying gain limit,so it can increase the accuracy of the inverse Q filter,especially for the amplitude preservation and resolution improvement of deep media.The effectiveness and practicability of the proposed method were proved with theoretical models and practical data.

Key words： amplitude loss phase distortion attenuation compensation high resolution seismic data inverse Q filtering

Received: 09 April 2020 Published: 27 July 2021

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	Articles by authors
	Ru-Bing DENG
	Jian-Guo YAN
	Qi CHEN
	Xin-Lei SONG

Cite this article:

Ru-Bing DENG,Jian-Guo YAN,Qi CHEN, et al. A new time-varying gain limits inverse Q filtering with the continuous compensation function[J]. Geophysical and Geochemical Exploration, 2021, 45(3): 702-711.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.1160 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I3/702

Trend of conventional inverse Q filtering amplitude compensation function

Trend of cutoff frequency method inverse Q filtering amplitude compensation function

Trend of amplitude compensation function of inverse Q filtering by stabilization factor method

Trend of adaptive gain limiting inverse Q filtering amplitude compensation function

Trend graph of time-varying gainlimit inverse Q filtering amplitude compensation function

Compensation results of different inverse Q filtering methods for the single-channel model
a—post attenuation records;b—compensation records by conventional inverse Q filting;c—compensation records by inverse Q filting with cutoff frequency method;d—compensation records by inverse Q filting with stability factor method;e—compensation records by inverse Q filting with adaptive gain limit;f—compensation records by inverse Q filting with time varying gain limited stability factor method

Compensation results of different inverse Q filtering methods
a—original records;b—compensation records by conventional inverse Q filting;c—compensation records by inverse Q filting with cutoff frequency method;d—compensation records by inverse Q filting with stability factor method;e—compensation records by inverse Q filting with adaptive gain limit;f—compensation records by inverse Q filting with time varying gain limited stability factor method

Compensation results of time-varying gain limit inverse Q filter for prestack CMP forward gather
a—forward channel set model with original CMP;b—compensation results by stability factor method;c—compensation records by inverse Q filting with time varying gain limited stability factor method

Pre-stack CRP gathers before(a) and after(b) time-varying gain-limit inverse Q filter compensation

Time-varying gain limit inverse Q filtering results of poststack seismic data
a—original seismic profile of T₈ target strata;b—seismic profile of T₈ target strata after inverse Q filtering with time varying gain limit;c—RMS horizontal section of original T₈ target layer;d—RMS horizontal section of T₈ target strata after inverse Q filtering with time varying gain limit

Comparative spectrum analysis after time-varying gain limited inverse Q filter of post-stack seismic data
a—spectrum analysis of original seismic data;b—spectrum analysis after inverse Q filtering with time varying gain limit

Inversion results of the upper layer of the T₈ target layer before (a) and after (b) time-varying gain limited inverse Q filtering

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