Predictive Models for Condensate Gas Ratio (CGR) – Part 1: For Western Niger Delta Region
S. S. Ikiensikimama *
Department of Petroleum and Gas Engineering, University of Port Harcourt, Port Harcourt, Nigeria.
I. I. Azubuike
Department of Petroleum and Gas Engineering, University of Port Harcourt, Port Harcourt, Nigeria.
J. A. Ajienka
Department of Petroleum and Gas Engineering, University of Port Harcourt, Port Harcourt, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Condensate-to-gas ratio (CGR) plays a significant role in sales potential assessment of both gas and liquid, design of the required surface processing facilities, reservoir characterization and modeling in gas-condensate reservoirs. This work aim at the use of regression method to develop Condensate gas ratio (CGR) correlations using dataset obtained from Western Niger Delta region. The formation was divided into three distinct geologic zones: Transitional Paralic, Paralic and Marine Paralic zones. The basic parameters used for the correlation development are: reservoir depth (ft), reservoir pressure (psia); reservoir temperature (oF) all at (Gas – Oil – Contact (GOC) / Gas – Down – To (GDT) / Gas – Water – Contact (GWC)) and these parameters are data easily obtained from the field. A statistical assessments show that the models predicted CGR with a percent mean absolute error of 19.5640, correlation coefficient of 0.9539 and a rank of 18.15. These results show that the models are suitable for these fields.
Keywords: Condensate to gas ratio, correlation, regression, gas condensate