Silaban, Nanda Nicholas
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Analysis of Enhanced Oil Recovery Based on Well Patterns and Injection Volume Using the Continuous CO2 Injection Method Oktaviani, Ajeng Purna Putri; Silaban, Nanda Nicholas; Jannoke, Ludovika
Journal of Geoscience, Engineering, Environment, and Technology Special Issue from The 2nd International Conference on Upstream Energy Technology and Digitalization
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.1.24443

Abstract

This study examines how the continuous CO2 injection method can improve oil recovery based on well patterns and injection volumes. The increase in oil recovery is observed using a number of well pattern scenarios, each with injection volume sensitivity. CMG-GEM is the software used in this study to simulate the different scenarios. A homogeneous reservoir model, grid data, reservoir fluid data, and reservoir data are among the data needed for this study. Four-spot, five-spot, nine-spot well patterns are taken into consideration in this research scenario. For each well pattern` the injection volumes that will subsequently be used as a reference for the injection rate at the injection well are one HCPV, five HCPV, ten HCPV, and twenty HCPV. According to the study’s findings, the inverted nine-spot well pattern with an injection volume of twenty HCPV scenario improves oil recovery more than the four-spot, five-spot and nine-spot well patterns.