Deconvolutive Improved S Transform and Its Application in Hydrocarbon Detection

Seismic signals are usually non-linear and non-stationary. The Fourier transform based on stationary signal processing theory cannot depict the frequency components at any moment. However, the time-frequency analysis (TFA) methods have the capability of describing the partial features of signal both...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 61; S. 1
Hauptverfasser:	Wu, Xuefeng, Zhang, Huixing, He, Bingshou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Aggregation Bias Data analysis Data processing Deconvolution Detection Drilling Energy resolution Fourier transforms Frequency analysis frequency correction Frequency dependence Frequency distribution hydrocarbon detection Hydrocarbons improved S transform (IST) Methods Noise robustness Parameters Resolution Signal processing Signal resolution Time-frequency analysis time–frequency analysis (TFA) Transforms Window functions
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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