Propagation source wavelet phase extraction using multi-taper method coherence estimation
© 2016 Sinopec Geophysical Research Institute. It is possible to use statistical methods to extract the propagation source wavelet phase from seismic data without getting information from a well log. Using kurtosis as a high-order statistics can preserve the phase of the signal but it is highly sens...
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th-cmuir.6653943832-407662017-09-28T04:11:19Z Propagation source wavelet phase extraction using multi-taper method coherence estimation Hariri Naghadeh D. Keith Morley C. © 2016 Sinopec Geophysical Research Institute. It is possible to use statistical methods to extract the propagation source wavelet phase from seismic data without getting information from a well log. Using kurtosis as a high-order statistics can preserve the phase of the signal but it is highly sensitive to outliers. A new method is introduced here called the multi-taper method coherence estimation. Two steps are required: first, a cosine function that includes the dominant frequency and maximum amplitude of signal is chosen. Secondly, the maximum coherence in the frequency band of the signal, which shows the best phase matching between the time series is determined. To validate this new method real data sets were chosen and the extracted wavelet phases for noise free and noisy data sets were compared with data extracted from a well log. Extracted wavelets using Kurtosis were also generated for comparison, and demonstrate the improved results using the new method. 2017-09-28T04:11:19Z 2017-09-28T04:11:19Z 1 Journal 17422132 2-s2.0-85010669535 10.1088/1742-2140/14/1/69 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010669535&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40766 |
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© 2016 Sinopec Geophysical Research Institute. It is possible to use statistical methods to extract the propagation source wavelet phase from seismic data without getting information from a well log. Using kurtosis as a high-order statistics can preserve the phase of the signal but it is highly sensitive to outliers. A new method is introduced here called the multi-taper method coherence estimation. Two steps are required: first, a cosine function that includes the dominant frequency and maximum amplitude of signal is chosen. Secondly, the maximum coherence in the frequency band of the signal, which shows the best phase matching between the time series is determined. To validate this new method real data sets were chosen and the extracted wavelet phases for noise free and noisy data sets were compared with data extracted from a well log. Extracted wavelets using Kurtosis were also generated for comparison, and demonstrate the improved results using the new method. |
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author |
Hariri Naghadeh D. Keith Morley C. |
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Hariri Naghadeh D. Keith Morley C. Propagation source wavelet phase extraction using multi-taper method coherence estimation |
author_facet |
Hariri Naghadeh D. Keith Morley C. |
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Hariri Naghadeh D. |
title |
Propagation source wavelet phase extraction using multi-taper method coherence estimation |
title_short |
Propagation source wavelet phase extraction using multi-taper method coherence estimation |
title_full |
Propagation source wavelet phase extraction using multi-taper method coherence estimation |
title_fullStr |
Propagation source wavelet phase extraction using multi-taper method coherence estimation |
title_full_unstemmed |
Propagation source wavelet phase extraction using multi-taper method coherence estimation |
title_sort |
propagation source wavelet phase extraction using multi-taper method coherence estimation |
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2017 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010669535&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40766 |
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