LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS

Increasing world energy demand over the development period, giving space to the researchers to develop various methods in petroleum exploration activities. In the initial exploration phase is usually only used 2D seismic data as primary data in addition to other geological data. Utilization of seism...

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Main Author: SYAIFUDDIN (NIM : 22308003), FIRMAN
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22179
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22179
spelling id-itb.:221792017-10-09T10:24:10ZLITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS SYAIFUDDIN (NIM : 22308003), FIRMAN Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22179 Increasing world energy demand over the development period, giving space to the researchers to develop various methods in petroleum exploration activities. In the initial exploration phase is usually only used 2D seismic data as primary data in addition to other geological data. Utilization of seismic data is usually only used to obtain information geometry of reservoir rocks, while essentially 2D seismic data can still provide information on rock lithology. On the basis that the author tries to identify the distribution of rock lithology using multi-attribute seismic methods and geostatistical or spatial statistical analysis to determine the geological conditions of the study area. From the results of studies that have been made, obtained information on the distribution of sandstone lithology using 2D seismic data and a series of wells as a reference. The result of statistical spatial analysis, information obtained sedimentation trends northwest-southeast trending that show compliance with paleogeograpfi maps of reservoir rock layers that already exist. 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 Increasing world energy demand over the development period, giving space to the researchers to develop various methods in petroleum exploration activities. In the initial exploration phase is usually only used 2D seismic data as primary data in addition to other geological data. Utilization of seismic data is usually only used to obtain information geometry of reservoir rocks, while essentially 2D seismic data can still provide information on rock lithology. On the basis that the author tries to identify the distribution of rock lithology using multi-attribute seismic methods and geostatistical or spatial statistical analysis to determine the geological conditions of the study area. From the results of studies that have been made, obtained information on the distribution of sandstone lithology using 2D seismic data and a series of wells as a reference. The result of statistical spatial analysis, information obtained sedimentation trends northwest-southeast trending that show compliance with paleogeograpfi maps of reservoir rock layers that already exist.
format Theses
author SYAIFUDDIN (NIM : 22308003), FIRMAN
spellingShingle SYAIFUDDIN (NIM : 22308003), FIRMAN
LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
author_facet SYAIFUDDIN (NIM : 22308003), FIRMAN
author_sort SYAIFUDDIN (NIM : 22308003), FIRMAN
title LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
title_short LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
title_full LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
title_fullStr LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
title_full_unstemmed LITHOLOGY DISTRIBUTION IDENTIFICATION USING SEISMIC MULTI-ATTRIBUTE AND GEOSTATISTIC ANALYSIS
title_sort lithology distribution identification using seismic multi-attribute and geostatistic analysis
url https://digilib.itb.ac.id/gdl/view/22179
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