QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY

The tabulation of well data for the the interpretation purposes of well data from the curve study of well log in determining the elements of sequence stratigraphy such as sequence boundary, flooding surface, transgressive surface, maximum flooding surface is still in a qualitative method, that is on...

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Main Author: NESSYANA DEBATARAJA (NIM:20110016), NAOMI
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16657
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16657
spelling id-itb.:166572017-09-27T14:41:43ZQUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY NESSYANA DEBATARAJA (NIM:20110016), NAOMI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16657 The tabulation of well data for the the interpretation purposes of well data from the curve study of well log in determining the elements of sequence stratigraphy such as sequence boundary, flooding surface, transgressive surface, maximum flooding surface is still in a qualitative method, that is only based in geological or geophysical aspect. The formation of rock layers is time based events, where the lower layer is formed first. Next, it’s tangible that the formation of a layer of rock can be influenced by the previous ones. One of the quantitative methods that can be developed in the process of rock layers formation is stochastic process of time series from Box and Jenkins. Gamma Ray log is taken from Parbaungan 1 well. Parbaungan 1 well is a field exploratory well, own by Chevron Pacific Indonesia company in Sumatra. Based on the analysis AutoRegressive order 2 is the right model. Observation and estimation data graphic iterate high resolution trendline is best observed at every 30 feet and at every 150 feet for low resolution. Next step, based of the both trendline made quantitative interpretation, marker sequence stratigraphy. <br /> 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 The tabulation of well data for the the interpretation purposes of well data from the curve study of well log in determining the elements of sequence stratigraphy such as sequence boundary, flooding surface, transgressive surface, maximum flooding surface is still in a qualitative method, that is only based in geological or geophysical aspect. The formation of rock layers is time based events, where the lower layer is formed first. Next, it’s tangible that the formation of a layer of rock can be influenced by the previous ones. One of the quantitative methods that can be developed in the process of rock layers formation is stochastic process of time series from Box and Jenkins. Gamma Ray log is taken from Parbaungan 1 well. Parbaungan 1 well is a field exploratory well, own by Chevron Pacific Indonesia company in Sumatra. Based on the analysis AutoRegressive order 2 is the right model. Observation and estimation data graphic iterate high resolution trendline is best observed at every 30 feet and at every 150 feet for low resolution. Next step, based of the both trendline made quantitative interpretation, marker sequence stratigraphy. <br />
format Theses
author NESSYANA DEBATARAJA (NIM:20110016), NAOMI
spellingShingle NESSYANA DEBATARAJA (NIM:20110016), NAOMI
QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
author_facet NESSYANA DEBATARAJA (NIM:20110016), NAOMI
author_sort NESSYANA DEBATARAJA (NIM:20110016), NAOMI
title QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
title_short QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
title_full QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
title_fullStr QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
title_full_unstemmed QUANTITATIVE TIME SERIES ANALYSIS ON SEQUENCE STRATIGRAPHY
title_sort quantitative time series analysis on sequence stratigraphy
url https://digilib.itb.ac.id/gdl/view/16657
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