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

Yuchan Ahn, Junghwan Kim, Joseph Sang Il Kwon

Research output: Contribution to journalArticlepeer-review


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).

Original languageEnglish
Article number115334
JournalApplied Energy
Publication statusPublished - 2020 Sept 15

Bibliographical note

Funding Information:
The authors gratefully acknowledge financial support from the National Science Foundation ( CBET-1804407 ), U.S. Department of Energy ( DE-EE000788-10-8 , DE-EE000788-9.3 ), the Korea Institute of Industrial Technology ( kitech IR-19-0021 , kitech JH-20-0005 ).

Publisher Copyright:
© 2020

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law


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