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Simulation and optimization of enhanced gas recovery utilizing CO2

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  • Biagi, James
  • Agarwal, Ramesh
  • Zhang, Zheming

Abstract

Carbon sequestration with enhanced gas recovery (CS-EGR) is a well-known technology for safe and economical Carbon Capture, Utilization and Storage (CCUS). However, there is lack of a robust and comprehensive approach to study the optimization of the CS-EGR process. In this paper, a multi-objective optimization code based on a genetic algorithm is combined with the multi-phase flow solver TOUGH2 for CS-EGR applications. Using this combined numerical solver/optimizer, the optimal CO2 injection rate is accurately determined via a series of simulations for a CS-EGR process to maximize the CH4 recovery factor. An improvement in the recovery factor by 5% along with a shorter project life cycle is achieved by optimization. Additional optimization studies with time-dependent CO2 injection scenarios indicate that higher production rates of CH4 can be achieved without compromising the structural integrity of the reservoir. The results of this study pave the way for future optimization studies to enhance the appeal of CS-EGR projects and to help launch this technology on an industrial scale.

Suggested Citation

  • Biagi, James & Agarwal, Ramesh & Zhang, Zheming, 2016. "Simulation and optimization of enhanced gas recovery utilizing CO2," Energy, Elsevier, vol. 94(C), pages 78-86.
  • Handle: RePEc:eee:energy:v:94:y:2016:i:c:p:78-86
    DOI: 10.1016/j.energy.2015.10.115
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    1. Blok, K. & Williams, R.H. & Katofsky, R.E. & Hendriks, C.A., 1997. "Hydrogen production from natural gas, sequestration of recovered CO2 in depleted gas wells and enhanced natural gas recovery," Energy, Elsevier, vol. 22(2), pages 161-168.
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    4. Puyan Bakhshi & Riyaz Kharrat & Abdolnabi Hashemi & Mehdi Zallaghi, 2018. "Experimental evaluation of carbonated waterflooding: A practical process for enhanced oil recovery and geological CO2 storage," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(2), pages 238-256, April.
    5. Xiaohua Tan & Jiajia Shi & Dong Hui & Qiu Li & Tingting Wu, 2023. "Material Balance Method and Dynamic Pressure Monitoring for Water-Bearing Gas Reservoirs with CO 2 Injection," Energies, MDPI, vol. 16(12), pages 1-14, June.
    6. William Ampomah & Robert S. Balch & Reid B. Grigg & Brian McPherson & Robert A. Will & Si‐Yong Lee & Zhenxue Dai & Feng Pan, 2017. "Co‐optimization of CO 2 ‐EOR and storage processes in mature oil reservoirs," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 128-142, February.
    7. Li, Bo & Yu, Hao & Xu, WenLong & Huang, HanWei & Huang, MengCheng & Meng, SiWei & Liu, He & Wu, HengAn, 2023. "A multi-physics coupled multi-scale transport model for CO2 sequestration and enhanced recovery in shale formation with fractal fracture networks," Energy, Elsevier, vol. 284(C).
    8. Ismail Ismail & Vassilis Gaganis, 2023. "Carbon Capture, Utilization, and Storage in Saline Aquifers: Subsurface Policies, Development Plans, Well Control Strategies and Optimization Approaches—A Review," Clean Technol., MDPI, vol. 5(2), pages 1-29, May.
    9. Shan Yuan & Hong-Ze Gang & Yi-Fan Liu & Lei Zhou & Muhammad Irfan & Shi-Zhong Yang & Bo-Zhong Mu, 2022. "Adsorption and Diffusion Behaviors of CO 2 and CH 4 Mixtures in Different Types of Kerogens and Their Roles in Enhanced Energy Recovery," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

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