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Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recovery

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  • Ahn, Yuchan
  • Kim, Junghwan
  • Kwon, Joseph Sang-Il

Abstract

To optimize the configuration of a supply chain network for shale gas production (SGSCN), we develop a novel optimization model that considers ‘enhanced gas recovery by carbon dioxide (CO2) injection’ (EGR-CO2) technology, which simultaneously achieves decrease in net CO2 emissions. Then, the developed framework is used to identify the optimal SGSCN configuration in a mixed-integer linear programming problem that maximizes the overall profit of shale gas production. The optimal framework of the proposed SGSCN model is compared to the case (Case 1) when the improvement technology for the shale gas production rate like EGR-CO2 is not used, to demonstrate its superiority over existing approaches. The simulation results that consider application on the Marcellus shale play indicate that the overall profit of SGSCN that uses EGR-CO2 technology and purchases the CO2 on the market (Case 2) achieves 2.56% higher profit than the SGSCN without an injection strategy (Case 1) and 10.00% higher profit than the SGSCN that uses CO2 that is recovered from the flue gases generated during combustion of shale gas to produce electricity (Case 3). The profitability of Case 3 is reduced by the cost of constructing and operating a CO2-capture facility. For Case 3 to achieve the same profitability as Case 2, the CO2 purchase must be more expensive than 5 US$ per MCF CO2 (0.18 US$ per m3).

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  • Ahn, Yuchan & Kim, Junghwan & Kwon, Joseph Sang-Il, 2020. "Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recovery," Applied Energy, Elsevier, vol. 274(C).
    • Handle: RePEc:eee:appene:v:274:y:2020:i:c:s0306261920308461
    DOI: 10.1016/j.apenergy.2020.115334
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    2. Cao, Kaiyu & Son, Sang Hwan & Moon, Jiyoung & Kwon, Joseph Sang-Il, 2021. "A closed-loop integration of scheduling and control for hydraulic fracturing using offset-free model predictive control," Applied Energy, Elsevier, vol. 302(C).
    3. Hong, Bingyuan & Du, Zhaonan & Qiao, Dan & Liu, Daiwei & Li, Yu & Sun, Xiaoqing & Gong, Jing & Zhang, Hongyu & Li, Xiaoping, 2024. "Sustainable supply chain of distributed multi-product gas fields based on skid-mounted equipment to dynamically respond to upstream and market fluctuations," Energy, Elsevier, vol. 292(C).
    4. Guanyi Zheng & Xiaoyang Guo & Zaoyuan Li & Jinfei Sun, 2021. "Design and Evaluation of High-Temperature Well Cementing Slurry System Based on Fractal Theory," Energies, MDPI, vol. 14(22), pages 1-14, November.

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