Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical) (MIMSE-M-E-I-2022)

Optimization of CO2 Injection Operating Conditions for Enhanced Gas Recovery and Carbon Sequestration in a Carboniferous Sandstone Reservoir

Authors
Sonny Irawan1, *, Naufal Septio2, Achmad Nadhif Masruri2, Cahaya Sultan Iskandar2, Totok Ruki Biyanto2
1Department of Petroleum Engineering, Nazarbayev University, Astana, Kazakhstan
2Department of Physics Engineering, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
*Corresponding author. Email: irawan.sonny@nu.edu.kz
Corresponding Author
Sonny Irawan
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-078-7_23How to use a DOI?
Keywords
Carbon Sequestration; CO2 Injection; Enhanced gas recovery; Optimization
Abstract

CO2 emissions are a global issue that many countries face. In handling this issue, one of them is by utilizing energy resources to cover CO2 emissions. However, among the many methods used to absorb CO2, one of the most effective is a process by injecting CO2 into the earth layer that also known as carbon sequestration, which is one of the most effective ways to reduce CO2 emissions. CO2 injection into gas reservoirs not only benefits CO2 gas storage but can also increase gas production in carboniferous sandstone reservoirs, a process known as Enhanced Gas Recovery (EGR). Operating the CO2 EGR variable, namely the mass flow rate of CO2 injection, CO2 injection temperature, and CO2 injection pressure, can condition the optimal recovery value. The Beggs-Brill method is used for modeling the CO2 EGR injection pressure drop in production and injection wells, while the Darcy equation is used in the reservoir. Heat transfer equations are used to model temperature gradients in production wells, injection wells, and reservoirs. When the injection well and production well model is compared to the PIPESIM software simulation, the pressure and temperature gradient for injection wll model have average errors of 0.364% and 0.754%, respectively. The validation results in production wells have a mean error of 0.871% for the pressure gradient model and 0.334% for the temperature gradient model. Meanwhile, when the reservoir compared to the COMSOL Multiphysics software simulation, the mean error for pressure and temperature gradient models is 0.0897% and 0.0106%, respectively. According to the modeling, the amount of CO2 stored in the reservoir is 21.134 tons per day and can be absorbed by 80.36%. GA produced the best optimization results on the three variables, increasing profits from 5998.534 USD/day to 17123.327 USD.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical) (MIMSE-M-E-I-2022)
Series
Advances in Engineering Research
Publication Date
26 December 2022
ISBN
10.2991/978-94-6463-078-7_23
ISSN
2352-5401
DOI
10.2991/978-94-6463-078-7_23How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sonny Irawan
AU  - Naufal Septio
AU  - Achmad Nadhif Masruri
AU  - Cahaya Sultan Iskandar
AU  - Totok Ruki Biyanto
PY  - 2022
DA  - 2022/12/26
TI  - Optimization of CO₂ Injection Operating Conditions for Enhanced Gas Recovery and Carbon Sequestration in a Carboniferous Sandstone Reservoir
BT  - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical) (MIMSE-M-E-I-2022)
PB  - Atlantis Press
SP  - 218
EP  - 231
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-078-7_23
DO  - 10.2991/978-94-6463-078-7_23
ID  - Irawan2022
ER  -