Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection

The miscible displacement in CO2 injection is a process where the oil in the reservoir completely mixes with the injected CO2. To see and understand the process of the CO2 miscible injection, the simulator is the essential tool for engineering design. Normally, a compositional simulator is used f...

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Main Author: Sermphon Klaiseengern, Sermphon Klaiseengern
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2012
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Online Access:http://utpedia.utp.edu.my/5785/1/FYP_Sermphon11823.pdf
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spelling my-utp-utpedia.57852017-01-25T09:40:16Z http://utpedia.utp.edu.my/5785/ Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection Sermphon Klaiseengern, Sermphon Klaiseengern TN Mining engineering. Metallurgy The miscible displacement in CO2 injection is a process where the oil in the reservoir completely mixes with the injected CO2. To see and understand the process of the CO2 miscible injection, the simulator is the essential tool for engineering design. Normally, a compositional simulator is used for a detailed simulation by solving the equation of states for fluids and calculating the partitioning fluid between phases. However, the method is time consuming that the Black Oil Model would take a greater advantage as a simpler method for simulation. In this study, the simulation of Black Oil Model for CO2 Miscible Injection using the Water Alternating Gas Injection Technique, was carried out to investigate its ability and accuracy compared with the compositional simulator with the range of models and scenarios. All reservoir characteristics were kept constant in order to pay an attention on the PVT Properties of the fluids in the Black Oil and Peng-Robinson fluid characterization in Compositional Simulator. Schlumberger ECLIPSE 100 and ECLIPSE 300 were the main tools used for comparing the two simulations. It is found that the Black Oil simulator is capable to predict the similar trends of Oil Recovery Factor, Total Oil Production and Reservoir Pressure to the Compositional Simulator in certain cases, however, there are the obvious differences in values between two simulators depending on the reservoir models and WAG scenarios examined. The gas injection rate is found to be an important parameter in determining the accuracy of Black Oil comparing to Compositional simulators. In agreement with other studies, Black Oil simulator is found to have 6.45 speed up factor comparing to the Compositional simulator. Keywords: Miscible CO2 WAG Injection, Black Oil Model, Compositional Model Universiti Teknologi Petronas 2012-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/5785/1/FYP_Sermphon11823.pdf Sermphon Klaiseengern, Sermphon Klaiseengern (2012) Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TN Mining engineering. Metallurgy
spellingShingle TN Mining engineering. Metallurgy
Sermphon Klaiseengern, Sermphon Klaiseengern
Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
description The miscible displacement in CO2 injection is a process where the oil in the reservoir completely mixes with the injected CO2. To see and understand the process of the CO2 miscible injection, the simulator is the essential tool for engineering design. Normally, a compositional simulator is used for a detailed simulation by solving the equation of states for fluids and calculating the partitioning fluid between phases. However, the method is time consuming that the Black Oil Model would take a greater advantage as a simpler method for simulation. In this study, the simulation of Black Oil Model for CO2 Miscible Injection using the Water Alternating Gas Injection Technique, was carried out to investigate its ability and accuracy compared with the compositional simulator with the range of models and scenarios. All reservoir characteristics were kept constant in order to pay an attention on the PVT Properties of the fluids in the Black Oil and Peng-Robinson fluid characterization in Compositional Simulator. Schlumberger ECLIPSE 100 and ECLIPSE 300 were the main tools used for comparing the two simulations. It is found that the Black Oil simulator is capable to predict the similar trends of Oil Recovery Factor, Total Oil Production and Reservoir Pressure to the Compositional Simulator in certain cases, however, there are the obvious differences in values between two simulators depending on the reservoir models and WAG scenarios examined. The gas injection rate is found to be an important parameter in determining the accuracy of Black Oil comparing to Compositional simulators. In agreement with other studies, Black Oil simulator is found to have 6.45 speed up factor comparing to the Compositional simulator. Keywords: Miscible CO2 WAG Injection, Black Oil Model, Compositional Model
format Final Year Project
author Sermphon Klaiseengern, Sermphon Klaiseengern
author_facet Sermphon Klaiseengern, Sermphon Klaiseengern
author_sort Sermphon Klaiseengern, Sermphon Klaiseengern
title Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
title_short Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
title_full Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
title_fullStr Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
title_full_unstemmed Comparing Compositional and Black Oil Models in Simulating Miscible C O2 Injection
title_sort comparing compositional and black oil models in simulating miscible c o2 injection
publisher Universiti Teknologi Petronas
publishDate 2012
url http://utpedia.utp.edu.my/5785/1/FYP_Sermphon11823.pdf
http://utpedia.utp.edu.my/5785/
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score 13.201949