Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Scientific Contributions Oil and Gas
Dedi Kristanto
UPN Veteran Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Energy

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Co-Authors Aditya Kurniawan Boni Swadesi Dewi Asmorowati Eko Widi Pramudyohadi Hariyadi Hariyadi Indah Widiyaningsih Indah Widiyaningsih Mahruri Sanmurjana Muhammad Rizky Rahmadsyah Lubis Ndaru Cahyaningtyas Ndaru Cahyaningtyas Unggul Setiadi Nursidik