IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN

<p align="justify"> The carbonate reservoir generally has more complex porosity and permeability relationship than silicyclastic reservoir. Efforts that can be made to help the development of this hydrocarbon field is to analyze the reservoir character in more detail using petrophysi...

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Main Author: MARETHA SALINDEHO (NIM: 22014043), LENA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/28575
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:28575
spelling id-itb.:285752018-07-06T14:18:30ZIDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN MARETHA SALINDEHO (NIM: 22014043), LENA Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/28575 <p align="justify"> The carbonate reservoir generally has more complex porosity and permeability relationship than silicyclastic reservoir. Efforts that can be made to help the development of this hydrocarbon field is to analyze the reservoir character in more detail using petrophysical rock type (PRT) approach. This approach is used by combining geological elements such as sedimentary environments, petrophysical properties of rocks, and the fluid flow in them that is reflected by capillary pressure and water saturation. This method is expected to be one method that can increase the production of hydrocarbons optimally in the Xena Field. <br /> <br /> The object of research from Xena Field is Zone A2 which is part of the Parigi Formation. The Parigi Formation is one of the main reservoirs of hydrocarbon producers in Xena Field. The data that be used in this research are routine core (RCAL) data on JLB-07, JLB-08, JLB-02, JLB-23 wells, wire log data (gamma ray log, resistivity log, density, neutron log) of 30 wells and 2D seismic data. Deposition facies at Xena Field is divided into 2 facies, those are platform interior and sandshoal. <br /> <br /> Rock type (RT) identification has been done using Flow Zone Indicator (FZI) method. Rock types in Xena field can be divided into 4 rock types, those are RT 1, RT 2, RT 3, RT 4. RT 1 is able to flow the best fluid and RT 4 flow the worst fluid. The reservoir property modeling include rock type is controlled by facies model. Sandshoal facies associated with RT 1 and RT 2. Interior platforms associated with RT 2 and RT 3. <p align="justify"> 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 <p align="justify"> The carbonate reservoir generally has more complex porosity and permeability relationship than silicyclastic reservoir. Efforts that can be made to help the development of this hydrocarbon field is to analyze the reservoir character in more detail using petrophysical rock type (PRT) approach. This approach is used by combining geological elements such as sedimentary environments, petrophysical properties of rocks, and the fluid flow in them that is reflected by capillary pressure and water saturation. This method is expected to be one method that can increase the production of hydrocarbons optimally in the Xena Field. <br /> <br /> The object of research from Xena Field is Zone A2 which is part of the Parigi Formation. The Parigi Formation is one of the main reservoirs of hydrocarbon producers in Xena Field. The data that be used in this research are routine core (RCAL) data on JLB-07, JLB-08, JLB-02, JLB-23 wells, wire log data (gamma ray log, resistivity log, density, neutron log) of 30 wells and 2D seismic data. Deposition facies at Xena Field is divided into 2 facies, those are platform interior and sandshoal. <br /> <br /> Rock type (RT) identification has been done using Flow Zone Indicator (FZI) method. Rock types in Xena field can be divided into 4 rock types, those are RT 1, RT 2, RT 3, RT 4. RT 1 is able to flow the best fluid and RT 4 flow the worst fluid. The reservoir property modeling include rock type is controlled by facies model. Sandshoal facies associated with RT 1 and RT 2. Interior platforms associated with RT 2 and RT 3. <p align="justify">
format Theses
author MARETHA SALINDEHO (NIM: 22014043), LENA
spellingShingle MARETHA SALINDEHO (NIM: 22014043), LENA
IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
author_facet MARETHA SALINDEHO (NIM: 22014043), LENA
author_sort MARETHA SALINDEHO (NIM: 22014043), LENA
title IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
title_short IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
title_full IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
title_fullStr IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
title_full_unstemmed IDENTIFICATION AND RESERVOIR MODELING BASED ON PETROPHYSICAL ROCK TYPE ANALYSIS APPROACH TO PARIGI FORMATION, XENA FIELD, NORTH WEST JAVA BASIN
title_sort identification and reservoir modeling based on petrophysical rock type analysis approach to parigi formation, xena field, north west java basin
url https://digilib.itb.ac.id/gdl/view/28575
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