VSP初至逐层递推层速度反演研究及应用

doi:10.11720/wtyht.2019.1420

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Abstract

The use of VSP data to accurately acquire formation velocities plays an important role in time-depth conversion and migration imaging of seismic data.Due to factors such as changes in receive and excitation conditions,near-source dynamic interference,and first arrival time pick-up errors,the first arrival time of VSP data often contains a certain degree of random interference.The authors studied the error characteristics of inverting interval velocity for VSP data with different offsets by layer-by-layer recursion algorithm when VSP data have random noise at the first arrival time and only deep data are received.Some conclusions have been reached:①The larger the offset,the smaller the inversion velocity error of the corresponding data;②When the data is only recorded from the deep level,the smaller the offset,the closer the inversion result to the actual formation velocity.For this reason,the first arrival time should be smoothed before being inverted by layer-by-layer recursion algorithm,and then the average of inversion results is taken from multi offset VSP data as the final interval velocity.This method can improve the inversion accuracy of the interval velocity.By using this research conclusion,good results were obtained in the processing of marine Walkaway-VSP data.

Key words： layer-by-layer recursion VSP interval velocity offset error analysis

Received: 19 November 2018 Published: 31 May 2019

P631.4

Corresponding Authors: Ming-Shun HU E-mail: dejekdm@163.com

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	Tian-Zhu LUO
	Ming-Shun HU
	Di HAN
	Yi-Qiang REN

Cite this article:

Tian-Zhu LUO,Ming-Shun HU,Di HAN, et al. Research and application of interval velocity inversion for VSP data by layer-by-layer recursion algorithm[J]. Geophysical and Geochemical Exploration, 2019, 43(3): 608-617.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2019.1420 OR https://www.wutanyuhuatan.com/EN/Y2019/V43/I3/608

Schematic diagram of principle of the interlayer velocity inversion by layer-by-layer recursion algorithm

Horizontally homogeneous layered media model

Inversion interval velocity(b) and error(c) from VSP first arrival time(a) without random interference

Inversion interval velocity and error from VSP first arrival time with random interference

Inversion interval velocity and error from smoothed VSP first arrival time
a—First break time filtered by smoothing;b—Inversion result;c—Inversion error

Average of inversion results from multiple shots of VSP data with different offset

Inversion interval velocity and error from only deep VSP data

Single shot seismic records with different offset

First arrival time of VSP data with offset and corresponding inversion results

Walkaway-VSP CDP transform stacked profile

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