Time-Frequency Analysis of Seismic Signals (Hardcover)

A practical and insightful discussion of time-frequency analysis methods and technologies Time-frequency analysis of seismic signals aims to reveal the local properties of nonstationary signals. The local properties, such as time-period, frequency, and spectral content, vary with time, and the time of a seismic signal is a proxy of geologic depth. Therefore, the time-frequency spectrum is composed of the frequency spectra that are generated by using the classic Fourier transform at different time positions. Different time-frequency analysis methods are distinguished in the construction of the local kernel prior to using the Fourier transform. Based on the difference in constructing the Fourier transform kernel, this book categorises time-frequency analysis methods into two groups: Gabor transform-type methods and energy density distribution methods. This book systematically presents time-frequency analysis methods, including technologies which have not been previously discussed in print or in which the author has been instrumental in developing. In the presentation of each method, the fundamental theory and mathematical concepts are summarised, with an emphasis on the engineering aspects. This book also provides a practical guide to geophysicists who attempt to generate geophysically meaningful time-frequency spectra, who attempt to process seismic data with time-dependent operations for the fidelity of nonstationary signals, and who attempt to exploit the time-frequency space seismic attributes for quantitative characterisation of hydrocarbon reservoirs.

General

Imprint:	Wiley-Blackwell
Country of origin:	United States
Release date:	October 2022
Authors:	Y. Wang
Dimensions:	247 x 175 x 19mm (L x W x T)
Format:	Hardcover
Pages:	240
ISBN-13:	978-1-119-89234-2
Categories:	Books > Earth & environment > Earth sciences > General Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > General
LSN:	1-119-89234-1
Barcode:	9781119892342

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