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dc.contributor.authorGritsadapong Leaungvongpaisanen_US
dc.contributor.authorPisanu Wongpornchaien_US
dc.contributor.authorSiriporn Chaisrien_US
dc.date.accessioned2018-09-05T04:21:42Z-
dc.date.available2018-09-05T04:21:42Z-
dc.date.issued2018-05-01en_US
dc.identifier.issn01252526en_US
dc.identifier.other2-s2.0-85049746954en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049746954&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58252-
dc.description.abstract© 2018, Chiang Mai University. All rights reserved. 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.en_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemistryen_US
dc.subjectMaterials Scienceen_US
dc.subjectMathematicsen_US
dc.subjectPhysics and Astronomyen_US
dc.titleGeological interpretation by peak spectral decomposition envelope attributeen_US
dc.typeJournalen_US
article.title.sourcetitleChiang Mai Journal of Scienceen_US
article.volume45en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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