SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION

Seismics resolution is a one of parameter that determining quality of seismic data. Seismics resolution influence to detail of the data and visibility of contained reflectors. Resolution analysis usually associated with tuning thickness caused by thin layer. <br /> <br /> <br /&g...

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Main Author: WAHYU SAPUTRO (NIM. 12405004), AGUNG
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20811
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:20811
spelling id-itb.:208112017-10-09T10:31:17ZSEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION WAHYU SAPUTRO (NIM. 12405004), AGUNG Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20811 Seismics resolution is a one of parameter that determining quality of seismic data. Seismics resolution influence to detail of the data and visibility of contained reflectors. Resolution analysis usually associated with tuning thickness caused by thin layer. <br /> <br /> <br /> <br /> <br /> Representation of tuning effect is the matter related to wavelet of the signal. For the real case, seismics wavelet is nonstationary or varying toward time both its amplitude and phase, due to its propagation in heterogenous medium. Reality of this wavelet causing limitation of deconvolution method that based on stationary wavelet assumption. Wavelet extraction from <br /> <br /> <br /> <br /> <br /> seismic itself is one of option to accommodate inconstant wavelet. <br /> <br /> <br /> <br /> <br /> In this Final Project will try effectiveness from wavelet deconvolution method and high frequency spectral decomposition. Wavelet deconvolution lay at defining wavelet from extraction of seismic itself, so with this method hoped deconvolution operator that constructed will be better. Spectral Decomposition also one choice to enhance resolution. At this spectral decomposition accomodate Q factor that will influence to define wavelets spectrum. With that Q factor hoped nonstationary wavelet will represent better, furthermore <br /> <br /> <br /> <br /> <br /> will influece to the its decomposing spectrum. <br /> <br /> <br /> <br /> <br /> Analyze of seismics resolution enhancement in this research done at trace and spectrum of seismic section. At trace analysis, shows data processing that appearing thin bed separation from contained tuning thickness. At spectrum analysis, shows enhancement in frequency amplitude (db). To see the consistency of each section, well crosscheck has done to obtain a correlation coefficient value between trace and synthetic from well. 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 Seismics resolution is a one of parameter that determining quality of seismic data. Seismics resolution influence to detail of the data and visibility of contained reflectors. Resolution analysis usually associated with tuning thickness caused by thin layer. <br /> <br /> <br /> <br /> <br /> Representation of tuning effect is the matter related to wavelet of the signal. For the real case, seismics wavelet is nonstationary or varying toward time both its amplitude and phase, due to its propagation in heterogenous medium. Reality of this wavelet causing limitation of deconvolution method that based on stationary wavelet assumption. Wavelet extraction from <br /> <br /> <br /> <br /> <br /> seismic itself is one of option to accommodate inconstant wavelet. <br /> <br /> <br /> <br /> <br /> In this Final Project will try effectiveness from wavelet deconvolution method and high frequency spectral decomposition. Wavelet deconvolution lay at defining wavelet from extraction of seismic itself, so with this method hoped deconvolution operator that constructed will be better. Spectral Decomposition also one choice to enhance resolution. At this spectral decomposition accomodate Q factor that will influence to define wavelets spectrum. With that Q factor hoped nonstationary wavelet will represent better, furthermore <br /> <br /> <br /> <br /> <br /> will influece to the its decomposing spectrum. <br /> <br /> <br /> <br /> <br /> Analyze of seismics resolution enhancement in this research done at trace and spectrum of seismic section. At trace analysis, shows data processing that appearing thin bed separation from contained tuning thickness. At spectrum analysis, shows enhancement in frequency amplitude (db). To see the consistency of each section, well crosscheck has done to obtain a correlation coefficient value between trace and synthetic from well.
format Final Project
author WAHYU SAPUTRO (NIM. 12405004), AGUNG
spellingShingle WAHYU SAPUTRO (NIM. 12405004), AGUNG
SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
author_facet WAHYU SAPUTRO (NIM. 12405004), AGUNG
author_sort WAHYU SAPUTRO (NIM. 12405004), AGUNG
title SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
title_short SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
title_full SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
title_fullStr SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
title_full_unstemmed SEISMICS VERTICAL RESOLUTION ENHANCEMENT WITH WAVELET DECONVOLUTION AND HIGH FREQUENCY SPECTRAL DECOMPOSITION
title_sort seismics vertical resolution enhancement with wavelet deconvolution and high frequency spectral decomposition
url https://digilib.itb.ac.id/gdl/view/20811
_version_ 1822919971628384256