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Accurate and detail of subsurface imaging is the intention of seismic data processing. However, reflectors with various angle from low angle to nearly 90 degree, and the presence of noise, which can be seen from the effects of diffraction and bow tie, will make the conventional processing not optima...

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Main Author: ARI KUSUMA (NIM: 12305006), ISTIQOMAH
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20214
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:20214
spelling id-itb.:202142017-09-27T11:46:40Z#TITLE_ALTERNATIVE# ARI KUSUMA (NIM: 12305006), ISTIQOMAH Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20214 Accurate and detail of subsurface imaging is the intention of seismic data processing. However, reflectors with various angle from low angle to nearly 90 degree, and the presence of noise, which can be seen from the effects of diffraction and bow tie, will make the conventional processing not optimal, thus the result can’t image the subsurface correctly. To solve this problem, a better method than conventional method is needed. One of the method is Zero Offset Common Reflection Surface (ZO CRS) Stack. ZO CRS Stack did not only use VNMO like in conventional method, but also use CRS stacking operator which can determined the best fits for the actual reflector. In this thesis, conventional seismic data processing method will be compared with CRS method to analyze how well CRS method can improve the subsurface imaging. <br /> <br /> <br /> <br /> <br /> <br /> For comparison, Conventional and CRS stack method is applied to synthetic data modeling of acoustic waves through the half graben model which have fault with dips. The data will be processed until Post Stack Time Migration by both method. Kirchhoff Migration and F-K Migration are used in this test. <br /> <br /> <br /> <br /> <br /> <br /> From the comparison between two methods, the results of CRS-Stack method can provide seismic section which is better than conventional method so the interpretation process can be easier and more accurate. <br /> <br /> <br /> <br /> <br /> <br /> Keyword : Common Reflection Surface (CRS) Stack, Memory Stolt F-K Migration, Kirchhoff Migration. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Accurate and detail of subsurface imaging is the intention of seismic data processing. However, reflectors with various angle from low angle to nearly 90 degree, and the presence of noise, which can be seen from the effects of diffraction and bow tie, will make the conventional processing not optimal, thus the result can’t image the subsurface correctly. To solve this problem, a better method than conventional method is needed. One of the method is Zero Offset Common Reflection Surface (ZO CRS) Stack. ZO CRS Stack did not only use VNMO like in conventional method, but also use CRS stacking operator which can determined the best fits for the actual reflector. In this thesis, conventional seismic data processing method will be compared with CRS method to analyze how well CRS method can improve the subsurface imaging. <br /> <br /> <br /> <br /> <br /> <br /> For comparison, Conventional and CRS stack method is applied to synthetic data modeling of acoustic waves through the half graben model which have fault with dips. The data will be processed until Post Stack Time Migration by both method. Kirchhoff Migration and F-K Migration are used in this test. <br /> <br /> <br /> <br /> <br /> <br /> From the comparison between two methods, the results of CRS-Stack method can provide seismic section which is better than conventional method so the interpretation process can be easier and more accurate. <br /> <br /> <br /> <br /> <br /> <br /> Keyword : Common Reflection Surface (CRS) Stack, Memory Stolt F-K Migration, Kirchhoff Migration.
format Final Project
author ARI KUSUMA (NIM: 12305006), ISTIQOMAH
spellingShingle ARI KUSUMA (NIM: 12305006), ISTIQOMAH
#TITLE_ALTERNATIVE#
author_facet ARI KUSUMA (NIM: 12305006), ISTIQOMAH
author_sort ARI KUSUMA (NIM: 12305006), ISTIQOMAH
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/20214
_version_ 1822019152778362880