SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD

Generally, shallow target has a limited fold coverage that makes the data difficult to process, moreover with the undulated subsurface condition. This case is a problem because the variant dip of the reflector is not included in the conventional seismic data processing parameter. Whereas the frequen...

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Main Author: GANI (NIM : 12404023), MUTIARA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/23386
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:23386
spelling id-itb.:233862017-01-30T14:14:42ZSHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD GANI (NIM : 12404023), MUTIARA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23386 Generally, shallow target has a limited fold coverage that makes the data difficult to process, moreover with the undulated subsurface condition. This case is a problem because the variant dip of the reflector is not included in the conventional seismic data processing parameter. Whereas the frequency of the source wavelet is band-limited which affect the seismic quality and resolution. <br /> <br /> The purpose of this final project is to find the design survey, optimum frequency, and the data processing method which can produce a good result for the undulated shallow target. <br /> <br /> Therefore, conventional seismic data processing and the CRS method were used. The CRS method calculate emergence angle, curvature of the normal wave, and the curvature <br /> <br /> of the NIP wave. <br /> <br /> A set of synthetic shallow target channel model with the variant survey seismic parameter and the frequency of the source wavelet was used to observe the CRS method. As result, a better reflector recovering compared against conventional processing sequence was observed. 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 Generally, shallow target has a limited fold coverage that makes the data difficult to process, moreover with the undulated subsurface condition. This case is a problem because the variant dip of the reflector is not included in the conventional seismic data processing parameter. Whereas the frequency of the source wavelet is band-limited which affect the seismic quality and resolution. <br /> <br /> The purpose of this final project is to find the design survey, optimum frequency, and the data processing method which can produce a good result for the undulated shallow target. <br /> <br /> Therefore, conventional seismic data processing and the CRS method were used. The CRS method calculate emergence angle, curvature of the normal wave, and the curvature <br /> <br /> of the NIP wave. <br /> <br /> A set of synthetic shallow target channel model with the variant survey seismic parameter and the frequency of the source wavelet was used to observe the CRS method. As result, a better reflector recovering compared against conventional processing sequence was observed.
format Final Project
author GANI (NIM : 12404023), MUTIARA
spellingShingle GANI (NIM : 12404023), MUTIARA
SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
author_facet GANI (NIM : 12404023), MUTIARA
author_sort GANI (NIM : 12404023), MUTIARA
title SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
title_short SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
title_full SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
title_fullStr SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
title_full_unstemmed SHALLOW TARGET FORWARD MODELLING SEISMIC DATA PROCESSING OPTIMALISATION USING CRS METHOD
title_sort shallow target forward modelling seismic data processing optimalisation using crs method
url https://digilib.itb.ac.id/gdl/view/23386
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