Abstract
In early years, transforming of seismic traces into time and frequency domain was done via windowed Fourier transform, called a Short Time Fourier Transform (STFT). In this method the resolution of the results in time-frequency domain was controlled by the width of the selected window. Continuous Wavelet transform (CWT) was a remedy to solve this problem by using the scale able wavelets. Converting a scalogram into a time frequency spectrum using the center frequency of a scale gives an erroneous attenuation in the spectrum. The main focus of this research is on Time-Frequency Continuous Wavelet Transform (TFCWT), which is Time-Frequency map obtained from (CWT). This method has recently proven to be an efficient tool among spectral decomposition methods, since it provides higher frequency-resolution in low frequencies, and higher time-resolution in higher frequencies. In this paper, it has been tried to investigate application of Time-Frequency Continuous Wavelet Transform (TFCWT) in time-frequency analysis of seismic sections to detect low-frequency gas shadow on real data from one Iranian gas reservoir. The results from (TFCWT) are compared with (CWT) and (STFT) applying single frequency seismic section at frequency 25Hz, while it is expected to observe low-frequency gas shadows in this frequency.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
