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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir
Hui Chen1,2, Yuanchun Chen1, Shaotong Sun1
1Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, China.
Entropy (Basel, Switzerland)
|December 3, 2020
Summary
This study introduces a novel high-precision time-frequency entropy method for hydrocarbon reservoir detection. The new approach accurately identifies reservoirs by analyzing abnormal seismic signal attenuation using synchrosqueezing generalized S-transform (SSGST).
Area of Science:
- Geophysics
- Seismology
- Petroleum Geoscience
Background:
- Seismic signals exhibit abnormal high-frequency attenuation when traversing hydrocarbon reservoirs.
- Accurate detection of hydrocarbon reservoirs is crucial for energy exploration.
Purpose of the Study:
- To develop a high-precision method for hydrocarbon reservoir detection.
- To improve upon existing time-frequency analysis techniques for seismic data.
Main Methods:
- Utilizes synchrosqueezing generalized S-transform (SSGST) to obtain concentrated time-frequency spectra.
- Introduces a frequency constraint condition for entropy calculation, considering noise characteristics.
- Applies a novel high-precision time-frequency entropy calculation based on SSGST.
Main Results:
- The proposed entropy method shows abnormally high values for seismic signals with abnormal attenuation.
- Field data analysis demonstrates higher precision compared to GST time-frequency entropy and original SSGST entropy.
- The method effectively suppresses random noise interference.
Conclusions:
- The developed high-precision time-frequency entropy method accurately detects and locates hydrocarbon reservoirs.
- This technique offers enhanced precision and noise suppression capabilities for seismic reservoir characterization.
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