Study on Pseudocomponent Selection & EOS Characterization Influence on Miscibility Pressure

In oil and gas industry, especially exploration and production phase, the main concern is to produce as much oil from the reservoir as possible, which is by optimizing the oil recovery. Since only 20-40% of the total oil in place can be recovered naturally and through pressure lifting, thus enhan...

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Bibliographic Details
Main Author: Hashim, Nur Hazwani Izyan
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2011
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Online Access:http://utpedia.utp.edu.my/10404/1/2011%20-%20Study%20on%20pseudocomponent%20selection%20%26%20Eos%20characterization%20influence%20on%20miscibility%20pressur.pdf
http://utpedia.utp.edu.my/10404/
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Summary:In oil and gas industry, especially exploration and production phase, the main concern is to produce as much oil from the reservoir as possible, which is by optimizing the oil recovery. Since only 20-40% of the total oil in place can be recovered naturally and through pressure lifting, thus enhanced oil recovery (EOR) should be employed to increase the recovery. One of the methods is by miscible injection of gas. Minimum miscible pressure (MMP) is the pressure at which injection gas mixes with oil, so that oil becomes more mobile and easily moved out from the reservoir. Some factors that affect the value ofMMP are the number ofpseudocomponent that is used in simulating the reservoir, and also type of Equation of State (EOS) that is used to characterize the reservoir. Therefore, the main outcome of this study is to see how MMP is dependent on the selection of number of pseudocomponent and EOS characterization. The scope of study of this project would be mainly on reservoir field, with specification on miscibility pressure for EOR. This includes gathering information and literature study on MMP, EOS characteristics and also pseudocomponents properties, familiarization to the software used, simulation using the software, and also result analysis based on the output from the simulation. At the end of the day, the outcome from the simulations would be evaluated to see how these two factors influenced the MMP results.