Bayesian linearized amplitude-versus-frequency inversion for quality factor and its application. (26th February 2018)

• Record Type: Journal Article
• Authors: Yang, Xinchao; Teng, Long; Li, Jingnan; Cheng, Jiubing
• Is Part Of: Journal of geophysics and engineering. Volume 15:Number 3(2018:Jun.)
• Page Start: 751
• Page End: 758
• Publication Date: 2018-02-26
• Subjects: AVF inversion -- Bayesian theory -- quality factor -- tight gas; Geophysics -- Periodicals; Prospecting -- Geophysical methods -- Periodicals; Engineering -- Periodicals; 622.1505
• DOI: 10.1088/1742-2140/aa91f0
• Languages: English
• ISSNs: 1742-2132

Abstract

Abstract: We propose a straightforward attenuation inversion method by utilizing the amplitude-versus-frequency (AVF) characteristics of seismic data. A new linearized approximation equation of the angle and frequency dependent reflectivity in viscoelastic media is derived. We then use the presented equation to implement the Bayesian linear AVF inversion. The inversion result includes not only P-wave and S-wave velocities, and densities, but also P-wave and S-wave quality factors. Synthetic tests show that the AVF inversion surpasses the AVA inversion for quality factor estimation. However, a higher signal noise ratio (SNR) of data is necessary for the AVF inversion. To show its feasibility, we apply both the new Bayesian AVF inversion and conventional AVA inversion to a tight gas reservoir data in Sichuan Basin in China. Considering the SNR of the field data, a combination of AVF inversion for attenuation parameters and AVA inversion for elastic parameters is recommended. The result reveals that attenuation estimations could serve as a useful complement in combination with the AVA inversion results for the detection of tight gas reservoirs.