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Open AccessArticle

A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection

by Hui Chen 1,2,*, Yuanchun Chen 1, Shaotong Sun 1, Ying Hu 1,3 and Jun Feng 1
1
Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, China
2
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China
3
ConocoPhillips School of Geology and Geophysics, University of Oklahoma, Norman, OK 73019, USA
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(6), 428; https://doi.org/10.3390/e20060428
Received: 24 March 2018 / Revised: 13 May 2018 / Accepted: 31 May 2018 / Published: 3 June 2018
According to the fact that high frequency will be abnormally attenuated when seismic signals travel across reservoirs, a new method, which is named high-precision time-frequency entropy based on synchrosqueezing generalized S-transform, is proposed for hydrocarbon reservoir detection in this paper. First, the proposed method obtains the time-frequency spectra by synchrosqueezing generalized S-transform (SSGST), which are concentrated around the real instantaneous frequency of the signals. Then, considering the characteristics and effects of noises, we give a frequency constraint condition to calculate the entropy based on time-frequency spectra. The synthetic example verifies that the entropy will be abnormally high when seismic signals have an abnormal attenuation. Besides, comparing with the GST time-frequency entropy and the original SSGST time-frequency entropy in field data, the results of the proposed method show higher precision. Moreover, the proposed method can not only accurately detect and locate hydrocarbon reservoirs, but also effectively suppress the impact of random noises. View Full-Text
Keywords: synchrosqueezing generalized S-transform; time-frequency entropy; hydrocarbon reservoirs detection; random noises synchrosqueezing generalized S-transform; time-frequency entropy; hydrocarbon reservoirs detection; random noises
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Chen, H.; Chen, Y.; Sun, S.; Hu, Y.; Feng, J. A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection. Entropy 2018, 20, 428.

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