A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers

Abstract CO2 injection is one of the most promising techniques to enhance oil recovery. The most favorable properties of CO2 made this method popular and it has been widely used since 1950. Experimentally, the effect of CO2 injection on incremental oil recovery is widely measured by the core-floodin...

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Main Authors: Davood Zivar, Peyman Pourafshary
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Online Access:http://link.springer.com/article/10.1007/s13202-019-0630-0
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spelling doaj-6dd1f8f64e604ef0b61b087a6b23d68b2020-11-25T01:04:36ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662019-02-01932325233210.1007/s13202-019-0630-0A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbersDavood Zivar0Peyman Pourafshary1Centere of Research in Enhanced Oil Recovery, Universiti Teknologi PETRONAS (UTP)Department of Petroleum Engineering, School of Mining and Geosciences, Nazarbayev UniversityAbstract CO2 injection is one of the most promising techniques to enhance oil recovery. The most favorable properties of CO2 made this method popular and it has been widely used since 1950. Experimentally, the effect of CO2 injection on incremental oil recovery is widely measured by the core-flooding approach. An accurate estimation of the recovery factor is required to analyze the performance of the method to design the enhanced oil recovery method successfully. Hence, knowledge of the effects of different parameters on recovery is essential. Various reported experimental CO2 core-flooding data for the immiscible condition in sandstones were analyzed to develop the parametric relationships affecting ultimate oil recovery using data analytics. Selected data support a wide range of porosity (10.8–37.2%), permeability (1–18000 mD), injection pressure (2.73–11.44 MPa), injection rate (0.1–1.0 cm3/min), and crude oil types, which enhance the methodology used to develop more comprehensive dimensionless numbers and correlations to predict the oil recovery. Series of new dimensionless numbers were defined and used for the study to develop a correlation for predicting oil recovery factor. Capillary number, relative radius, injection pressure ratio, and oil composition number are used as dimensionless numbers in our approach. The oil recovery prediction by the developed correlation was in agreement with the experimental data. The proposed correlation shows that capillary number is the most effective parameter when predicting oil recovery.http://link.springer.com/article/10.1007/s13202-019-0630-0Gas floodingDimensionless numbersCapillary numberOil recoveryImmiscible gas injection
collection DOAJ
language English
format Article
sources DOAJ
author Davood Zivar
Peyman Pourafshary
spellingShingle Davood Zivar
Peyman Pourafshary
A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
Journal of Petroleum Exploration and Production Technology
Gas flooding
Dimensionless numbers
Capillary number
Oil recovery
Immiscible gas injection
author_facet Davood Zivar
Peyman Pourafshary
author_sort Davood Zivar
title A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
title_short A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
title_full A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
title_fullStr A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
title_full_unstemmed A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers
title_sort new approach for predicting oil recovery factor during immiscible co2 flooding in sandstones using dimensionless numbers
publisher SpringerOpen
series Journal of Petroleum Exploration and Production Technology
issn 2190-0558
2190-0566
publishDate 2019-02-01
description Abstract CO2 injection is one of the most promising techniques to enhance oil recovery. The most favorable properties of CO2 made this method popular and it has been widely used since 1950. Experimentally, the effect of CO2 injection on incremental oil recovery is widely measured by the core-flooding approach. An accurate estimation of the recovery factor is required to analyze the performance of the method to design the enhanced oil recovery method successfully. Hence, knowledge of the effects of different parameters on recovery is essential. Various reported experimental CO2 core-flooding data for the immiscible condition in sandstones were analyzed to develop the parametric relationships affecting ultimate oil recovery using data analytics. Selected data support a wide range of porosity (10.8–37.2%), permeability (1–18000 mD), injection pressure (2.73–11.44 MPa), injection rate (0.1–1.0 cm3/min), and crude oil types, which enhance the methodology used to develop more comprehensive dimensionless numbers and correlations to predict the oil recovery. Series of new dimensionless numbers were defined and used for the study to develop a correlation for predicting oil recovery factor. Capillary number, relative radius, injection pressure ratio, and oil composition number are used as dimensionless numbers in our approach. The oil recovery prediction by the developed correlation was in agreement with the experimental data. The proposed correlation shows that capillary number is the most effective parameter when predicting oil recovery.
topic Gas flooding
Dimensionless numbers
Capillary number
Oil recovery
Immiscible gas injection
url http://link.springer.com/article/10.1007/s13202-019-0630-0
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