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Mining Data from reservoir Simulation Results

Akmal , Aulia and Tham, Boon Keat and Maulut, M Saniff and Jasamai, Mazuin and El-Khatib, Noaman A.F. (2010) Mining Data from reservoir Simulation Results. In: ESTCON - ICIPEG 2010, June 15-17, 2010, KLCC, Kuala Lumpur.

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Abstract

In finding optimum settings in reaching the highest oil recovery of a given reservoir,many parameters are involve such as flow rates and bottomhole pressure.Therefore, petroleum engineers need to perform several trials and error process alongside engineering experiences in order to tune the right parameters. In this study, we randomly generate the values and perform simulation via ECLIPSE software in order to obtain oil recovery values.Several simulations lead to formation of data set which will be analyzed by well known data mining method,the Association RULES (ARULES. With ARULES we can see how several parameters can interact and contribute to either increase/decrease of oil recovery.

Item Type:Conference or Workshop Item (Paper)
Subjects:A General Works > AC Collections. Series. Collected works
A General Works > AI Indexes (General)
Academic Subject Two:Geosciences
Academic Subject Three:petroleum engineering
Departments / MOR / COE:Research Institutes > Institute for Hydrocarbon Recovery
ID Code:3678
Deposited By: Mrs Mazuin Jasamai
Deposited On:18 Mar 2011 01:51
Last Modified:20 Mar 2017 07:07

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