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http://dx.doi.org/10.7582/GGE.2018.21.1.054

Q-factor Estimation of Seismic Trace Including Random Noise using Peak Frequency-Shift Method  

Kwon, Junseok (Oceantech, Co. Ltd.)
Chung, Wookeen (Department of Energy & Resources Engineering, Korea Maritime and Ocean University)
Ha, Jiho (KIGAM Pohang Branch, Korea Institute of Geoscience and Mineral Resource)
Shin, Sungryul (Department of Energy & Resources Engineering, Korea Maritime and Ocean University)
Publication Information
Geophysics and Geophysical Exploration / v.21, no.1, 2018 , pp. 54-60 More about this Journal
Abstract
The data acquired from seismic exploration can be used to detect the existence of oil and gas resources through appropriate processing and interpretation. The seismic attributes indicating the existence of resources are extracted from amplitude information, where the Q-factor representing intrinsic attenuation plays an useful role of hydrocarbon indicator. So, the accuracy of Q-factor estimation is very important to investigate the existence of resources. In this study, we calculated the Q-factor and analyzed the error rate through a numerical example. To mimic real data, random noise was added to the synthetic data. With the noise-added data, the Q-factor was estimated and the error rate was analyzed by using the spectral ratio method (SRM) and peak frequency shift method (PFSM). Both methods provided a relatively accurate Q-factor when the signal-to-noise ratio was 90 dB. However, the peak frequency shift method (PFSM) produced better results than the spectral ratio method (SRM) as the level of random noise increased.
Keywords
Q-factor; Peak frequency shift; Spectral ratio method; Random noise;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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