Next Article in Journal
Thermal Analysis of the Receiver of a Standalone Pilot Solar Dish–Stirling System
Previous Article in Journal
Refrigeration Performance and Entropy Generation Analysis for Reciprocating Magnetic Refrigerator with Gd Plates
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(6), 428; https://doi.org/10.3390/e20060428

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

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.
Received: 24 March 2018 / Revised: 13 May 2018 / Accepted: 31 May 2018 / Published: 3 June 2018
Full-Text   |   PDF [3601 KB, uploaded 20 June 2018]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top