Attenuation Parameters Extraction and Hydrocarbon Identification based on frequency dependent Teager energy
Jing-jing Zheng, Haojie Liu, Songhui Lin, Jiusheng Li, Maoqiang Zhao, Xingyao Yin, Guang-zhi ZHang
Abstract
Jing-jing Zheng, Haojie Liu, Songhui Lin, Jiusheng Li, Maoqiang Zhao, Xingyao Yin, Guang-zhi ZHang
Abstract
Summary The energy of seismic wave will be significant attenuation anomalies and different changes with frequency, when it propagates in viscoelastic media. Therefore, using the frequency dependent characteristics of energy attenuation, this paper presents an attenuation parameter extraction algorithm based on the frequency dependent Teager main energy. First, the algorithm got the time-frequency spectrum of seismic signal by a generalized S transform. And then, calculate the single-frequency Teager-Kaiser energy of seismic waves in the time-frequency domain and got Teager-Kaiser main energy of different frequency. At last, calculates a relative attenuation among the sample wavelength distance, obtained the attenuation parameters, and realized effective characterization of the oil, the gas and the water layers. The method linked energy attributes to reservoir characterization qualitative, and provides a new way of reservoir prediction. Real data application results show that this method can effectively distinguish between oil and water layers.
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Summary The energy of seismic wave will be significant attenuation anomalies and different changes with frequency, when it propagates in viscoelastic media. Therefore, using the frequency dependent characteristics of energy attenuation, this paper presents an attenuation parameter extraction algorithm based on the frequency dependent Teager main energy. First, the algorithm got the time-frequency spectrum of seismic signal by a generalized S transform. And then, calculate the single-frequency Teager-Kaiser energy of seismic waves in the time-frequency domain and got Teager-Kaiser main energy of different frequency. At last, calculates a relative attenuation among the sample wavelength distance, obtained the attenuation parameters, and realized effective characterization of the oil, the gas and the water layers. The method linked energy attributes to reservoir characterization qualitative, and provides a new way of reservoir prediction. Real data application results show that this method can effectively distinguish between oil and water layers.
Key concepts: Attenuation, Identification (biology), Energy (signal processing), Extraction (chemistry), Hydrocarbon, Acoustics, Computer science, Physics