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All Journal Jurnal Offshore: Oil, Production Facilities, and Renewable Energy Scientific Contributions Oil and Gas
Dedi Kristanto
UPN Veteran Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Engineering Mechanical Engineering

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Optimization of CO2 Injection Through Cyclic Huff and Puff to Improve Oil Recovery Dedi Kristanto; Hariyadi Hariyadi; Eko Widi Pramudyohadi; Aditya Kurniawan; Unggul Setiadi Nursidik; Dewi Asmorowati; Indah Widiyaningsih; Ndaru Cahyaningtyas
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1659

Abstract

One of the Enhanced Oil Recovery (EOR) strategies in the petroleum industry is CO2 injection using the huff and puff method. The method is performed on one well that acts as an injection and a production well. The method works by injecting a certain volume of carbon dioxide (CO2) gas into the reservoir and then closing the well for a period of time. This injection cycle can take place over several cycles. Production can be carried out after one or more cycles according to the design. In this study, CO2 injection optimization with the huff and puff method is carried out with reservoir simulation (GEM-CMG) by taking data from one of the oil and gas wells in Indonesia, with carbonate rock characteristics that are water wet. The simulation work steps include inputting data (fluid, rock properties, and production), initialization, history matching, and CO2 injection optimization with the huff and puff method. The optimization scenarios include optimization of injection pressure and number of cycles. The injection pressure scenario uses a range of 500 - 3000 psi, based on the simulation results obtained that the injection pressure of 500 psi produces the highest recovery factor (RF) of 22.2%. Then, the cyclic scenario was carried out at the optimum injection pressure (500 psi) with the number of cycles 2 - 6 cycles. From the simulation results, it is found that the number of cycles for this carbonate reservoir condition does not have a significant effect, as evidenced by the RF values ranging from 22.1 - 22.3%.
A Simulation Study on Polymer Mobility Design Strategies and Their Impact on Oil Recovery Efficiency and Displacement Mechanisms Ndaru Cahyaningtyas; Boni Swadesi; Mahruri Sanmurjana; Muhammad Rizky Rahmadsyah Lubis; Dedi Kristanto; Indah Widiyaningsih
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1661

Abstract

Polymer flooding is an effective enhanced oil recovery (EOR) technique, particularly when waterflooding alone proves insufficient in improving oil recovery. It is prominent to acquaint the principle of mobility control to understand the ability of polymer to overcome the oil displacement inefficiency of waterflooding, a requirement for a better sweep efficiency. This paper presents a comparative study of mobility control methods as critical parameters for polymer design. This paper investigates a simulation study of different simulation model to optimize polymer mobility design by comparing various mobility control methods. In this study, a compositional simulation model was built based on previous laboratory experiments validated by matching simulation results. Furthermore, to visualize the polymer displacement process, this study performs 1D, 2D, and 3D simulation models. The results indicates that polymer mobility design could affect the upstream viscosity, leading to high sweep efficiency and higher oil recovery. The study also suggests that the unit mobility ratio from the existing concept of conventional mobility control has invalid criteria to distinguish favourable and unfavourable conditions. The comparison with various mobility design methods reveals differences in recovery factors, influenced by some factors such as underlying assumptions and the specific conditions favoured by each method.
Carbon Dioxide (CO2) Injection Planning Using Reservoir Simulation: A Review Dedi Kristanto; Hariyadi; Aditya Kurniawan; Eko Widi Pramudyohadi; Unggul Setiadi Nursidik; Muhammad Iqbal Arizzqi Nuzli; Fadli Ramdhani
Jurnal Offshore: Oil, Production Facilities and Renewable Energy Vol. 10 No. 1 (2026): Jurnal Offshore: Oil, Production Facilities and Renewable Energy
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jo.v10i1.2580

Abstract

Carbon dioxide (CO2) injection planning using reservoir simulation has become a significant method in improving oil recovery (EOR) and simultaneously reducing CO2 emissions to the environment. CO2 injection divided into two mechanism, immiscible and miscible injection, both of which depend on the injection pressure as well as reservoir characteristics. This study reviews various CO2 injection mechanisms and their effectiveness through reservoir simulations. In CO2 injection, a compositional reservoir simulation is used that takes into account the hydrocarbon composition and its equation in pressure, volume, temperature (PVT) analysis. The simulation was used to evaluate the storage capacity, CO2 migration, and optimize the injection strategy. Results show that CO2 injection can increase oil recovery, especially in tight reservoirs. Reservoir simulation provides a deeper understanding of reservoir behavior post-CO2 injection and enables more optimal planning in maximizing hydrocarbon recovery. Overall, this study emphasizes the importance of using reservoir simulation in CO2 injection planning and optimization. With the right approach, this technology can significantly increase oil recovery while aiding climate change mitigation through underground CO2 storage.
Co-Authors Aditya Kurniawan Boni Swadesi Dewi Asmorowati Eko Widi Pramudyohadi Fadli Ramdhani Hariyadi Hariyadi Hariyadi Indah Widiyaningsih Indah Widiyaningsih Mahruri Sanmurjana Muhammad Iqbal Arizzqi Nuzli Muhammad Rizky Rahmadsyah Lubis Ndaru Cahyaningtyas Ndaru Cahyaningtyas Unggul Setiadi Nursidik Unggul Setiadi Nursidik