A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection
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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-06-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/20/6/428 |
| _version_ | 1818033346690678784 |
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| author | Hui Chen Yuanchun Chen Shaotong Sun Ying Hu Jun Feng |
| author_facet | Hui Chen Yuanchun Chen Shaotong Sun Ying Hu Jun Feng |
| author_sort | Hui Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T06:21:49Z |
| format | Article |
| id | doaj.art-31a911803c144315b530eb4a545bbfe0 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-12-10T06:21:49Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-31a911803c144315b530eb4a545bbfe02022-12-22T01:59:18ZengMDPI AGEntropy1099-43002018-06-0120642810.3390/e20060428e20060428A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir DetectionHui Chen0Yuanchun Chen1Shaotong Sun2Ying Hu3Jun Feng4Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaAccording 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.http://www.mdpi.com/1099-4300/20/6/428synchrosqueezing generalized S-transformtime-frequency entropyhydrocarbon reservoirs detectionrandom noises |
| spellingShingle | Hui Chen Yuanchun Chen Shaotong Sun Ying Hu Jun Feng A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection Entropy synchrosqueezing generalized S-transform time-frequency entropy hydrocarbon reservoirs detection random noises |
| title | A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection |
| title_full | A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection |
| title_fullStr | A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection |
| title_full_unstemmed | A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection |
| title_short | A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection |
| title_sort | high precision time frequency entropy based on synchrosqueezing generalized s transform applied in reservoir detection |
| topic | synchrosqueezing generalized S-transform time-frequency entropy hydrocarbon reservoirs detection random noises |
| url | http://www.mdpi.com/1099-4300/20/6/428 |
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