Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

The Prediction of Carbon Dioxide-Crude Oil Minimum Miscibility Pressure by CMG

Authors
Taoping Chen, Qianwei Zhang, Bin Zhao
Corresponding Author
Taoping Chen
Available Online August 2017.
DOI
10.2991/mseee-17.2017.67How to use a DOI?
Keywords
CMG, component model, carbon dioxide, minimum miscibility pressure.
Abstract

According to the PVT high pressure physical parameters of oil and gas, Using the PVTI in reservoir numerical simulation software Eclipse to determine the phase characteristics of the fluid, fitting the basic parameters and building component model, using the GEM modular program of CMG to calculate the oil displacement efficiency under different inject pressure, according to oil displacement efficiency and injection pressure relationship curve presents two lines before and after the inflection point, regressing the equation of two lines, and the intersection of the pressure be determined the minimum miscibility pressure of carbon dioxide-crude oil; in order to confirm the results, at the same time using slim tube experiment method and empirical formula methods to determine the minimum miscibility pressure of carbon dioxide-crude oil, and the slim tube experiment should be treated as the reference standard, Calculating the relative error of CMG method and the empirical formula method which are compared with the measured value of slim tube method. The results show that when the reservoir temperature are 90 and 108 , the carbon dioxide-crude oil minimum miscibility pressure of Shu 101 block in Yushulin oilfield is predicted by CMG, comparing with measured value of slim tube method, the relative error are 1.54% and 0.72%, the average relative error is 1.13%, which is less than the commonly used empirical formula of relative error average value, showing that carbon dioxide-oil minimum miscibility pressure is accurate and reliable by CMG.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
978-94-6252-377-7
ISSN
2352-5401
DOI
10.2991/mseee-17.2017.67How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Taoping Chen
AU  - Qianwei Zhang
AU  - Bin Zhao
PY  - 2017/08
DA  - 2017/08
TI  - The Prediction of Carbon Dioxide-Crude Oil Minimum Miscibility Pressure by CMG
BT  - Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
PB  - Atlantis Press
SP  - 357
EP  - 362
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-17.2017.67
DO  - 10.2991/mseee-17.2017.67
ID  - Chen2017/08
ER  -