무작위 잡음이 포함된 탄성파 트레이스에서의 Q-factor 산출

Abstract

Recently, there are various seismic explorations to develop resources like oil and gas. The existence of resources can be analyzed through interpreting the data which is obtained in the seismic explorations, and the seismic section of high resolution is necessary for the analysis.

The seismic section of high resolution is the most important element about the interpretation of the data such as seismic property analysis, and there are many researches about the seismic section of high resolution. Especially, there are researches to obtain the seismic section of high resolution by the analysis of seismic attenuation. The analysis of seismic attenuation is used to recognize the increase of resolution of the seismic section and the existence of hydrocarbon.

On this study, I would like to analyze the seismic attenuation by the estimation of Q-factor because Q-factor is the important element to recognize the existence of resources in the reservoir, it is used for analysis of characters of medium, and it is the effective method for analysis of quality of the seismic section resolution and AVO.

To estimate Q-factor I simulate the real geological structure, add random noise and employ Spectral ratio method and Peak frequency shift. Spectral ratio method is often used for the estimation of Q-factor because it is less effected by S/N. Also, it estimates Q-factor by analysis ratio of amplitude spectrum between reference data and sample data. Peak frequency shift is the method to estimate Q-factor through frequency variation which is reflected.

I set different geological structures in many times and add random noise in two methods. In the result of the research, the deviation of Q-factor through Peak frequency shift is less than the other and it appears the accuracy in research of the seismic attenuation. Thus, I assume that Peak frequency shift is the more effective method to obtain the seismic section of high resolution.

Recently, there are various seismic explorations to develop resources like oil and gas. The existence of resources can be analyzed through interpreting the data which is obtained in the seismic explorations, and the seismic section of high resolution is necessary for the analysis.

The seismic section of high resolution is the most important element about the interpretation of the data such as seismic property analysis, and there are many researches about the seismic section of high resolution. Especially, there are researches to obtain the seismic section of high resolution by the analysis of seismic attenuation. The analysis of seismic attenuation is used to recognize the increase of resolution of the seismic section and the existence of hydrocarbon.

On this study, I would like to analyze the seismic attenuation by the estimation of Q-factor because Q-factor is the important element to recognize the existence of resources in the reservoir, it is used for analysis of characters of medium, and it is the effective method for analysis of quality of the seismic section resolution and AVO.

To estimate Q-factor I simulate the real geological structure, add random noise and employ Spectral ratio method and Peak frequency shift. Spectral ratio method is often used for the estimation of Q-factor because it is less effected by S/N. Also, it estimates Q-factor by analysis ratio of amplitude spectrum between reference data and sample data. Peak frequency shift is the method to estimate Q-factor through frequency variation which is reflected.

I set different geological structures in many times and add random noise in two methods. In the result of the research, the deviation of Q-factor through Peak frequency shift is less than the other and it appears the accuracy in research of the seismic attenuation. Thus, I assume that Peak frequency shift is the more effective method to obtain the seismic section of high resolution.