Q factor estimation based on the method of logarithmic spectral area difference

Author:

Wang Shoudong1,Yang Dengfeng2,Li Jingnan3,Song Huijuan4

Affiliation:

1. China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resource and Prospecting; National Engineering Laboratory of Offshore Oil Exploration; CNPC Key Laboratory of Geophysical Exploration, Beijing, China..

2. Formerly China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resource and Prospecting; National Engineering Laboratory of Offshore Oil Exploration, Beijing, China; presently The Research Institute of CNOOC (China) Ltd, Shenzhen, China..

3. China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resource and Prospecting; CNPC Key Laboratory of Geophysical Exploration, Beijing, China..

4. Formerly China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resource and Prospecting; National Engineering Laboratory of Offshore Oil Exploration, Beijing; presently Jianghan Branch of Sinopic Geophysical Corporation, Qianjiang, China..

Abstract

We have developed a novel method for [Formula: see text] estimation. As a seismic wave propagates through subsurface viscoelastic media, seismic attenuation decreases the amplitude and reduces the bandwidth, which leads to variation of the logarithmic spectral area of seismic wave. According to this property, we have derived an analytical relation between [Formula: see text] factor and the logarithmic spectral area difference of seismic wave. To improve the accuracy of [Formula: see text] estimation, we took account of the amplitude loss due to energy partitioning from transmission. Tests of the method on synthetic models determined the validity of our method, and it was insensitive to different types of noises and evaluated density. A further comparison between the presented method and two widely used [Formula: see text] estimation methods, namely, the logarithmic spectral ratio and centroid frequency shifting methods, with a synthetic model containing random noise demonstrated that our method is the more robust, in these situations, among the three approaches. Then, we also compared the effect of bandwidth and time-window selection on the [Formula: see text] estimation for these three methods, and the result revealed that our method is less sensitive to the bandwidth and time window than the other two methods. Application of this method to real zero-offset vertical seismic profile data shows a reasonable correlation between estimated interval-[Formula: see text] and interval velocities, which further indicates the validity of the method.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Reference28 articles.

1. The effect of pressure on ultrasonic velocity and attenuation in near‐surface sedimentary rocks

2. Accurate interval Q-factor estimation from VSP data

3. Clark, R. A., A. J. Carter, P. C. Nevill, and P. M. Benson, 2001, Attenuation measurements from surface seismic data — Azimuthal variation and time-lapse case studies: 63rd Annual International Conference and Exhibition, EAGE, Extended Abstracts, L-28.

4. Dispersive body waves

5. FORMATION VELOCITY AND DENSITY—THE DIAGNOSTIC BASICS FOR STRATIGRAPHIC TRAPS

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