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Multiple is one of noise that contain on marine seismic data recording. Some seismic data processing techniques can eliminate multiple like predictive deconvolution and radon transform, but these method still has limitations, <br /> <br /> <br /> especially on water bottom m...

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Main Author: ARIFAN KAHFI (NIM : 223 09 008), RIAN
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/23942
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:23942
spelling id-itb.:239422017-10-09T10:24:10Z#TITLE_ALTERNATIVE# ARIFAN KAHFI (NIM : 223 09 008), RIAN Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23942 Multiple is one of noise that contain on marine seismic data recording. Some seismic data processing techniques can eliminate multiple like predictive deconvolution and radon transform, but these method still has limitations, <br /> <br /> <br /> especially on water bottom multiple. One of technique to eliminate the water bottom multiple is SRME technique. Surface Related Multiple Elimination (SRME) is a method to remove multiple energy that generated by the air-water boundary (surface-related multiples). SRME is a multiple attenuation techniques to suppress multiple associated with the surface in the marine environment. This technique does not require any subsurface information but predicts multiple of the data. Multiple predicted through an iterative convolution process which utilizes a physical relationship between the primary and multiple reflections. Multiple then adaptive subtracted from the input data. This study begins with understanding the theory of multiple. Multiple on synthetic and real data has applied. Synthetic seismic modeling of marine (contain multiple) using Tesseral2D software. Synthetic models are then processed using <br /> <br /> <br /> SRME techniques to suppress multiple. Further processing SRME technique was applied to the data field Banggai Ocean, Sulawesi. SRME application of synthetic and real data shows that in the domain of shot gather, semblance velocity analysis and stacking has been reduced even <br /> <br /> <br /> multiple surfaces. For amplitude analysis, amplitude value decrease after using the SRME method. 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 Multiple is one of noise that contain on marine seismic data recording. Some seismic data processing techniques can eliminate multiple like predictive deconvolution and radon transform, but these method still has limitations, <br /> <br /> <br /> especially on water bottom multiple. One of technique to eliminate the water bottom multiple is SRME technique. Surface Related Multiple Elimination (SRME) is a method to remove multiple energy that generated by the air-water boundary (surface-related multiples). SRME is a multiple attenuation techniques to suppress multiple associated with the surface in the marine environment. This technique does not require any subsurface information but predicts multiple of the data. Multiple predicted through an iterative convolution process which utilizes a physical relationship between the primary and multiple reflections. Multiple then adaptive subtracted from the input data. This study begins with understanding the theory of multiple. Multiple on synthetic and real data has applied. Synthetic seismic modeling of marine (contain multiple) using Tesseral2D software. Synthetic models are then processed using <br /> <br /> <br /> SRME techniques to suppress multiple. Further processing SRME technique was applied to the data field Banggai Ocean, Sulawesi. SRME application of synthetic and real data shows that in the domain of shot gather, semblance velocity analysis and stacking has been reduced even <br /> <br /> <br /> multiple surfaces. For amplitude analysis, amplitude value decrease after using the SRME method.
format Theses
author ARIFAN KAHFI (NIM : 223 09 008), RIAN
spellingShingle ARIFAN KAHFI (NIM : 223 09 008), RIAN
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author_facet ARIFAN KAHFI (NIM : 223 09 008), RIAN
author_sort ARIFAN KAHFI (NIM : 223 09 008), RIAN
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/23942
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