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All Journal Journal of Geoscience, Engineering, Environment, and Technology
Jannoke, Ludovika
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Earth & Planetary Sciences Engineering Environmental Science Physics

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Sensitivity Test Analysis Using Reservoir Simulation on Surfactant-Polymer Injection with Core Modeling Jannoke, Ludovika; Syaifullah, Muhammad Rizal
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.2025.10.1.1.24407

Abstract

This research aims to determine the results in increasing the effective recovery factor carried out by doing core modeling to be carried out for application to the field. Prior to the research, EOR screening was conducted to maximize the results, and from the EOR screening results, the EOR method that can be used is surfactant-polymer injection. This research was conducted using laboratory data from open source to do data modeling such as core data and surfactant-polymer data. After obtaining laboratory data, perform core modeling using laboratory data that is matched against laboratory test data. After the coreflooding simulation results are obtained by matching and after optimization, the next step is to up-scale the data to the field to carry out the scenario. There are three initial scenarios, namely basecase, waterflooding, and surfactant-polymer injection. After that, sensitivity tests were carried out on the total PV injection from 0.1 PV to 0.2 PV. And the maximum result was obtained in the surfactant-polymer injection scenario with 0.18 PV injected. The recovery factor was 51.21% with a total cumulative oil production of 190.3 MMBBL. Determination of the best scenario is determined through an increase in recovery factor, besides that the time carried out in all scenarios is carried out for 40 years.
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.
Co-Authors Oktaviani, Ajeng Purna Putri Silaban, Nanda Nicholas Syaifullah, Muhammad Rizal