Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand

Gas hydrates are formed in the subsurface along shallow ocean basins or in permafrost settings, and are commonly identified in the seismic data by the bottom-simulating reflector (BSR). Various methods have been employed in the past to measure gas hydrates from lab analyses, well log, or velocity da...

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Main Author: Jackson, Emily
Other Authors: Bedle, Heather, Pranter, Matthew, Elwood Madden, Megan
Language:English
Published: 2023
Subjects:
Online Access:https://shareok.org/handle/11244/337512
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spelling ftoklahomaunivs:oai:shareok.org:11244/337512 2023-06-11T04:15:58+02:00 Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand Jackson, Emily Bedle, Heather Pranter, Matthew Elwood Madden, Megan 2023-05-13 application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document https://shareok.org/handle/11244/337512 en_US eng OU Thesis and Dissertation Collections https://shareok.org/handle/11244/337512 Geophysics Gas Hydrates Seismic attributes Machine learning 2023 ftoklahomaunivs 2023-05-04T17:27:58Z Gas hydrates are formed in the subsurface along shallow ocean basins or in permafrost settings, and are commonly identified in the seismic data by the bottom-simulating reflector (BSR). Various methods have been employed in the past to measure gas hydrates from lab analyses, well log, or velocity data, but few studies have demonstrated methods to identify gas hydrates in seismic data when the BSR is sparse or lacking. One approach is to measure the expected attenuation, or the reduction in the seismic waveform, caused by hydrates in the gas hydrate stability zone (GHSZ). This study proposes the application of two statistical attributes—skewness and kurtosis—that measure the asymmetry of the seismic amplitude spectrum in order to quantify the attenuation responses throughout the GHSZ. Although the study area does not contain well log data, there are numerous studies that confirm hydrates exist throughout the Pegasus Basin. These attributes, in addition to other instantaneous and amplitude-related attributes, demonstrate that frequency-related variations are the major contributors to attenuation response, rather than seismic amplitude or geology effects. The spectral attribute results show that strong positive skewness and kurtosis variations above the high amplitude BSR is likely due to attenuation through an interval of hydrates. Negative skewness and kurtosis may correspond to an interval that does not contain hydrates, therefore suggesting that the GHSZ in the Pegasus Basin consists of discontinuous intervals of hydrates, rather than one continuous layer from ocean bottom to BSR. Other/Unknown Material permafrost University of Oklahoma/Oklahoma State University: SHAREOK Repository New Zealand
institution Open Polar
collection University of Oklahoma/Oklahoma State University: SHAREOK Repository
op_collection_id ftoklahomaunivs
language English
topic Geophysics
Gas Hydrates
Seismic attributes
Machine learning
spellingShingle Geophysics
Gas Hydrates
Seismic attributes
Machine learning
Jackson, Emily
Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
topic_facet Geophysics
Gas Hydrates
Seismic attributes
Machine learning
description Gas hydrates are formed in the subsurface along shallow ocean basins or in permafrost settings, and are commonly identified in the seismic data by the bottom-simulating reflector (BSR). Various methods have been employed in the past to measure gas hydrates from lab analyses, well log, or velocity data, but few studies have demonstrated methods to identify gas hydrates in seismic data when the BSR is sparse or lacking. One approach is to measure the expected attenuation, or the reduction in the seismic waveform, caused by hydrates in the gas hydrate stability zone (GHSZ). This study proposes the application of two statistical attributes—skewness and kurtosis—that measure the asymmetry of the seismic amplitude spectrum in order to quantify the attenuation responses throughout the GHSZ. Although the study area does not contain well log data, there are numerous studies that confirm hydrates exist throughout the Pegasus Basin. These attributes, in addition to other instantaneous and amplitude-related attributes, demonstrate that frequency-related variations are the major contributors to attenuation response, rather than seismic amplitude or geology effects. The spectral attribute results show that strong positive skewness and kurtosis variations above the high amplitude BSR is likely due to attenuation through an interval of hydrates. Negative skewness and kurtosis may correspond to an interval that does not contain hydrates, therefore suggesting that the GHSZ in the Pegasus Basin consists of discontinuous intervals of hydrates, rather than one continuous layer from ocean bottom to BSR.
author2 Bedle, Heather
Pranter, Matthew
Elwood Madden, Megan
author Jackson, Emily
author_facet Jackson, Emily
author_sort Jackson, Emily
title Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
title_short Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
title_full Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
title_fullStr Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
title_full_unstemmed Assessment of spectral attributes in identifying gas hydrates in seismic data from the Pegasus Basin, offshore New Zealand
title_sort assessment of spectral attributes in identifying gas hydrates in seismic data from the pegasus basin, offshore new zealand
publishDate 2023
url https://shareok.org/handle/11244/337512
geographic New Zealand
geographic_facet New Zealand
genre permafrost
genre_facet permafrost
op_relation OU Thesis and Dissertation Collections
https://shareok.org/handle/11244/337512
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