Universiti Teknologi Malaysia Institutional Repository

A rapid method to predict minimum miscibility pressure through interfacial tension test and visual observation

Abdurrahman, Muslim and Sidek, Akhmal and Agi, Augustine and Junin, Radzuan and Ridha, Syahrir and Nguyen, Xuan Huy and Arsad, Agus and Gbadamosi, Afeez and Yakasai, Faruk and Oseh, Jeffrey and Gbonhinbor, Jeffrey (2022) A rapid method to predict minimum miscibility pressure through interfacial tension test and visual observation. In: 2022 SPE Nigeria Annual International Conference and Exhibition, NAIC 2022, 1 August 2022 - 3 August 2022, Lagos, Nigeria.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.2118/211919-MS

Abstract

The minimum miscibility pressure (MMP) CO2 injection performs in enhanced oil recovery (EOR) method to increase sweeping efficiency and reduce oil/CO2 interfacial tension (IFT) also advantageous to the environmental in term of gas emissions for carbon capturing. There are several methods to achieve reliable value of MMP such as slim tube test, raising bubble apparatus, vanishing IFT, swelling test, and visual observation. However, these methods have certain limitations, which leads to the development of new techniques for a wide range of applications. In this paper, a rapid method that integrated IFT test with visual observation was investigated. Based on the test, the pressure is plotted against the IFT to predict the MMP for temperature 60 °C and 66 °C. In the meantime, visual observation during the test is also conducted to identify the occurrence of miscibility. The combination of both methods may provide much faster MMP prediction because the test consumes a small amount of hydrocarbon samples. The outcomes of this research clearly suggest that the MMP values resulted from IFT test and visual observation considerably agree with each other.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:CO2 injection, Interfacial tension, minimum miscibility pressure
Subjects:Q Science > QD Chemistry
Divisions:Chemical and Energy Engineering
ID Code:98892
Deposited By: Narimah Nawil
Deposited On:08 Feb 2023 04:34
Last Modified:08 Feb 2023 04:34

Repository Staff Only: item control page