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Book synopsis

This literature describes concepts and results related to application of time-frequency analysis for automatic detection of traveltime of seismic signals. Firstly, short-time Fourier transform is introduced as one of time-frequency methods, that has more capability than Fourier transform and gives us sensible feature of signal. Optimal window-length computing methods, such as optimization method and chirp rate method in order to enhancing resolution, have been investigated, analytically. Output results and their comparisons endorse e ective role of window-length as an important parameter. Like automated first-break picking methods that use instantaneous attributes, we utilize short-time Fourier transform in order to extraction of a local attribute for automatic picking of arrival time. Furthermore, using this tool, we can calculate instantaneous traveltime that help us to identify seismic events in a trace. This procedure leads to detection of reflectors and seismic horizons in the prestack and poststack seismic gathers and sections.

Book details

• Full title: High Resolution Time-frequency Distribution
• Subtitle: Automatic First-break Picking and Determination of Seismic Events Traveltime
• Author: Mohammad Bejvani
• Language: English
• Binding: Paperback
• Number of pages: 76
• EAN: 9786202079945
• ID: 18738229
• Publisher: LAP Lambert Academic Publishing
• Weight: 131 g
• Dimensions: 220 × 150 × 5 mm
• Published: 2017

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