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Determining correlation between permeability and porosity is very crucial in reservoir characterization and description. Generally, the correlation is utilized to predict permeability value from porosity data which come from logging or coring for uncored zone. Complexity in building the representati...

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Main Author: SUSILO (NIM 12204016), AGUS
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11752
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11752
spelling id-itb.:117522017-09-27T10:37:31Z#TITLE_ALTERNATIVE# SUSILO (NIM 12204016), AGUS Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11752 Determining correlation between permeability and porosity is very crucial in reservoir characterization and description. Generally, the correlation is utilized to predict permeability value from porosity data which come from logging or coring for uncored zone. Complexity in building the representative and general correlation between permeability and porosity became the development background of Hydraulic Conductivity method. This method lies in classification of permeability and porosity relationship based on pore size and geometry.<p> <br /> <br /> <br /> The purpose of this study is to enhance zonation of permeability and porosity correlation with Hydraulic Conductivity which is based on basic equation of porous media with capillary pipe model. This method can be used to determine permeability in positions only having porosity data from the log. This paper submits the development of a correlation to determine the value of effective hydraulic pore diameter (dH) based on the Gauss-Newton method by applying data sets of permeability and porosity from five cored wells.<p> <br /> <br /> <br /> The correlation is then applied against 145 sandstone reservoir rock samples having wide range of porosity and permeability, i.e. 0.042-0.46 for porosity and 0.1-7442 mD for permeability. Analysis on correlation’s application and data generate new understanding about complexity in pore structure and geometry which each permeability range and porosity establish calculated values of permeability close to the actual permeability measured. 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 Determining correlation between permeability and porosity is very crucial in reservoir characterization and description. Generally, the correlation is utilized to predict permeability value from porosity data which come from logging or coring for uncored zone. Complexity in building the representative and general correlation between permeability and porosity became the development background of Hydraulic Conductivity method. This method lies in classification of permeability and porosity relationship based on pore size and geometry.<p> <br /> <br /> <br /> The purpose of this study is to enhance zonation of permeability and porosity correlation with Hydraulic Conductivity which is based on basic equation of porous media with capillary pipe model. This method can be used to determine permeability in positions only having porosity data from the log. This paper submits the development of a correlation to determine the value of effective hydraulic pore diameter (dH) based on the Gauss-Newton method by applying data sets of permeability and porosity from five cored wells.<p> <br /> <br /> <br /> The correlation is then applied against 145 sandstone reservoir rock samples having wide range of porosity and permeability, i.e. 0.042-0.46 for porosity and 0.1-7442 mD for permeability. Analysis on correlation’s application and data generate new understanding about complexity in pore structure and geometry which each permeability range and porosity establish calculated values of permeability close to the actual permeability measured.
format Final Project
author SUSILO (NIM 12204016), AGUS
spellingShingle SUSILO (NIM 12204016), AGUS
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author_facet SUSILO (NIM 12204016), AGUS
author_sort SUSILO (NIM 12204016), AGUS
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/11752
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