Deriving shallow-water sediment properties using acoustic impedance inversion
Deriving shallow-water sediment properties using acoustic impedance inversion
In contrast to the application of marine seismic reflection techniques to reservoir-scale applications, where seismic inversion for quantitative sediment analysis is common, shallow-water, very-high-resolution seismic reflection data are seldom used for more than qualitatively reflection interpretation. Here, a quantitative analysis of very-high-resolution marine seismic reflection profiles from a shallow-water (<50 m water depth) fjord in northern Norway is presented. Acquired using Sparker, Boomer, and Chirp sources, the failure plane of multiple local landslides correlates with a composite reflection that reverses polarity to the south. Using a genetic algorithm, a 1D post-stack acoustic impedance inversion of all three profiles is performed, calibrating against multi-sensor core logger (MSCL) data from cores. Using empirical relationships the resulting impedance profiles are related to remote sediment properties, including: P-wave velocity; density; mean grain size; and porosity. The composite reflector is consistently identified by all three data sources as a finer-grained (by one phi), lower density (c. 0.2 g/cm3 less than background) thin bed, with an anomalous low velocity zone (at least 100 m/s lower than background) associated with the polarity reversal to the south. Such a velocity contrast is consistent with an accumulation of shallow free gas trapped within the finer-grain, less permeable layer. This study represents the first application of acoustic impedance inversion to very-high-resolution seismic reflection data and demonstrates the potential for directly relating seismic reflection data with sediment properties using a variety of commonly used shallow seismic profiling sources.
143-154
Vardy, Mark E.
8dd019dc-e57d-4b49-8f23-0fa6d246e69d
1 April 2015
Vardy, Mark E.
8dd019dc-e57d-4b49-8f23-0fa6d246e69d
Vardy, Mark E.
(2015)
Deriving shallow-water sediment properties using acoustic impedance inversion.
Near Surface Geophysics, 13 (2), .
(doi:10.3997/1873-0604.2014045).
Abstract
In contrast to the application of marine seismic reflection techniques to reservoir-scale applications, where seismic inversion for quantitative sediment analysis is common, shallow-water, very-high-resolution seismic reflection data are seldom used for more than qualitatively reflection interpretation. Here, a quantitative analysis of very-high-resolution marine seismic reflection profiles from a shallow-water (<50 m water depth) fjord in northern Norway is presented. Acquired using Sparker, Boomer, and Chirp sources, the failure plane of multiple local landslides correlates with a composite reflection that reverses polarity to the south. Using a genetic algorithm, a 1D post-stack acoustic impedance inversion of all three profiles is performed, calibrating against multi-sensor core logger (MSCL) data from cores. Using empirical relationships the resulting impedance profiles are related to remote sediment properties, including: P-wave velocity; density; mean grain size; and porosity. The composite reflector is consistently identified by all three data sources as a finer-grained (by one phi), lower density (c. 0.2 g/cm3 less than background) thin bed, with an anomalous low velocity zone (at least 100 m/s lower than background) associated with the polarity reversal to the south. Such a velocity contrast is consistent with an accumulation of shallow free gas trapped within the finer-grain, less permeable layer. This study represents the first application of acoustic impedance inversion to very-high-resolution seismic reflection data and demonstrates the potential for directly relating seismic reflection data with sediment properties using a variety of commonly used shallow seismic profiling sources.
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Accepted/In Press date: 8 September 2014
Published date: 1 April 2015
Organisations:
Geology & Geophysics
Identifiers
Local EPrints ID: 368709
URI: http://eprints.soton.ac.uk/id/eprint/368709
ISSN: 1873-0604
PURE UUID: 7ffe928b-8391-48b3-9954-e9a31bca4c89
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Date deposited: 09 Sep 2014 09:36
Last modified: 14 Mar 2024 17:52
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Author:
Mark E. Vardy
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