Permeability Determination of Tertiary Reservoir/Ajeel Oil Field

This paper discusses the method for determining the permeability values of Tertiary Reservoir in Ajeel field (Jeribe, dhiban, Euphrates) units and this study is very important to determine the permeability values that it is needed to detect the economic value of oil in Tertiary Formation. This study...

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Main Authors: Rihab Abbass Deabl, Ahmad A. Ramadhan, AbdulAali A. Aldabaj
Format: Article
Language:English
Published: University of Baghdad 2020-07-01
Series:Journal of Engineering
Subjects:
Online Access:http://joe.uobaghdad.edu.iq/index.php/main/article/view/1000
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author Rihab Abbass Deabl
Ahmad A. Ramadhan
AbdulAali A. Aldabaj
author_facet Rihab Abbass Deabl
Ahmad A. Ramadhan
AbdulAali A. Aldabaj
author_sort Rihab Abbass Deabl
collection DOAJ
description This paper discusses the method for determining the permeability values of Tertiary Reservoir in Ajeel field (Jeribe, dhiban, Euphrates) units and this study is very important to determine the permeability values that it is needed to detect the economic value of oil in Tertiary Formation. This study based on core data from nine wells and log data from twelve wells. The wells are AJ-1, AJ-4, AJ-6, AJ-7, AJ-10, AJ-12, AJ-13, AJ-14, AJ-15, AJ-22, AJ-25, and AJ-54, but we have chosen three wells (AJ4, AJ6, and AJ10) to study in this paper. Three methods are used for this work and this study indicates that one of the best way of obtaining permeability is the Neural network method because the values of permeability obtained being much closer to the values of K-core than the other methods. From this study we obtained many values of permeability for all depths from top to bottom for three wells in Ajeel Field as explained by figures below.
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spelling doaj.art-1ee5899978b34c61b3ae48049ef531422023-09-02T15:56:16ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392020-07-0126710.31026/j.eng.2020.07.14Permeability Determination of Tertiary Reservoir/Ajeel Oil FieldRihab Abbass Deabl0Ahmad A. Ramadhan1AbdulAali A. Aldabaj2Petroleum Technology Department , University of Technology, IraqPetroleum Technology Department , University of Technology, IraqPetroleum Technology Department , University of Technology, IraqThis paper discusses the method for determining the permeability values of Tertiary Reservoir in Ajeel field (Jeribe, dhiban, Euphrates) units and this study is very important to determine the permeability values that it is needed to detect the economic value of oil in Tertiary Formation. This study based on core data from nine wells and log data from twelve wells. The wells are AJ-1, AJ-4, AJ-6, AJ-7, AJ-10, AJ-12, AJ-13, AJ-14, AJ-15, AJ-22, AJ-25, and AJ-54, but we have chosen three wells (AJ4, AJ6, and AJ10) to study in this paper. Three methods are used for this work and this study indicates that one of the best way of obtaining permeability is the Neural network method because the values of permeability obtained being much closer to the values of K-core than the other methods. From this study we obtained many values of permeability for all depths from top to bottom for three wells in Ajeel Field as explained by figures below.http://joe.uobaghdad.edu.iq/index.php/main/article/view/1000Neural network, Gamma Ray Log (GR), Deep Resistivity (LLD), Shallow Resistivity (MSFL) and Formation Density (RHOB).
spellingShingle Rihab Abbass Deabl
Ahmad A. Ramadhan
AbdulAali A. Aldabaj
Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
Journal of Engineering
Neural network, Gamma Ray Log (GR), Deep Resistivity (LLD), Shallow Resistivity (MSFL) and Formation Density (RHOB).
title Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
title_full Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
title_fullStr Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
title_full_unstemmed Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
title_short Permeability Determination of Tertiary Reservoir/Ajeel Oil Field
title_sort permeability determination of tertiary reservoir ajeel oil field
topic Neural network, Gamma Ray Log (GR), Deep Resistivity (LLD), Shallow Resistivity (MSFL) and Formation Density (RHOB).
url http://joe.uobaghdad.edu.iq/index.php/main/article/view/1000
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