Geological Interpretation by Peak Spectral Decomposition Envelope Attribute

Spectral decomposition has set a mainstream for seismic interpretation workflow over past several years. It is used for capturing the stratal thickness using Red Green Blue (RGB) blending with three defined spectral decomposition frequencies. Each three different frequencies is a representative of s...

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Main Authors: Gritsadapong Leaungvongpaisan, Pisanu Wongpornchai, Siriporn Chaisri
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9160
http://cmuir.cmu.ac.th/jspui/handle/6653943832/64133
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-641332019-05-07T09:59:49Z Geological Interpretation by Peak Spectral Decomposition Envelope Attribute Gritsadapong Leaungvongpaisan Pisanu Wongpornchai Siriporn Chaisri Spectral decomposition has set a mainstream for seismic interpretation workflow over past several years. It is used for capturing the stratal thickness using Red Green Blue (RGB) blending with three defined spectral decomposition frequencies. Each three different frequencies is a representative of specific thickness, where other thicknesses remain untouched in RGB blending. A new method of Peak Spectral Decomposition Envelope (PSDE) attribute takes all frequencies into account to resolve for all thicknesses. The PSDE attribute eliminates the conventional frequency selection process for spectral decomposition. Synthetic seismic wedge models and 3D seismic datasets from different geological settings were tested with PSDE attribute. The apparent thickness and true thickness were analyzed for the resolution analysis in the synthetic models. The PSDE attribute offers a finer seismic resolution over the synthetic seismic wedge model. The finest resolution is 4.5 ms in a time domain; however, the actual resolution in a depth domain is related to the frequency content and time-depth conversion by velocity data. The shifted attributes and RGB blending help the PSDE attribute to enhance geological features, such as channels, fans and faults in seismic datasets. This method could be universally applied to any seismic survey for geological identifications, as the improved geological understanding could have a significant impact on the reserve calculation and the economic analysis for oil and gas business. 2019-05-07T09:59:48Z 2019-05-07T09:59:48Z 2018 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9160 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64133 Eng Science Faculty of Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Spectral decomposition has set a mainstream for seismic interpretation workflow over past several years. It is used for capturing the stratal thickness using Red Green Blue (RGB) blending with three defined spectral decomposition frequencies. Each three different frequencies is a representative of specific thickness, where other thicknesses remain untouched in RGB blending. A new method of Peak Spectral Decomposition Envelope (PSDE) attribute takes all frequencies into account to resolve for all thicknesses. The PSDE attribute eliminates the conventional frequency selection process for spectral decomposition. Synthetic seismic wedge models and 3D seismic datasets from different geological settings were tested with PSDE attribute. The apparent thickness and true thickness were analyzed for the resolution analysis in the synthetic models. The PSDE attribute offers a finer seismic resolution over the synthetic seismic wedge model. The finest resolution is 4.5 ms in a time domain; however, the actual resolution in a depth domain is related to the frequency content and time-depth conversion by velocity data. The shifted attributes and RGB blending help the PSDE attribute to enhance geological features, such as channels, fans and faults in seismic datasets. This method could be universally applied to any seismic survey for geological identifications, as the improved geological understanding could have a significant impact on the reserve calculation and the economic analysis for oil and gas business.
format บทความวารสาร
author Gritsadapong Leaungvongpaisan
Pisanu Wongpornchai
Siriporn Chaisri
spellingShingle Gritsadapong Leaungvongpaisan
Pisanu Wongpornchai
Siriporn Chaisri
Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
author_facet Gritsadapong Leaungvongpaisan
Pisanu Wongpornchai
Siriporn Chaisri
author_sort Gritsadapong Leaungvongpaisan
title Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
title_short Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
title_full Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
title_fullStr Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
title_full_unstemmed Geological Interpretation by Peak Spectral Decomposition Envelope Attribute
title_sort geological interpretation by peak spectral decomposition envelope attribute
publisher Science Faculty of Chiang Mai University
publishDate 2019
url http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9160
http://cmuir.cmu.ac.th/jspui/handle/6653943832/64133
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