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Optimal scheduling for enhanced coal bed methane production through CO2 injection

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  • Huang, Yuping
  • Zheng, Qipeng P.
  • Fan, Neng
  • Aminian, Kashy

Abstract

Enhanced coal bed methane production with CO2 injection (CO2-ECBM) is an effective technology for accessing the natural gas embedded in the traditionally unmineable coal seams. The revenue via this production process is generated not only by the sales of coal bed methane, but also by trading CO2 credits in the carbon market. As the technology of CO2-ECBM becomes mature, its commercialization opportunities are also springing up. This paper proposes applicable mathematical models for CO2-ECBM production and compares the impacts of their production schedules on the total profit. A novel basic deterministic model for CO2-ECBM production including the technical and chemical details is proposed and then a multistage stochastic programming model is formulated in order to address uncertainties of natural gas price and CO2 credit. Both models are nonlinear programming problems, which are solved by commercial nonlinear programming software BARON via GAMS. Numerical experiments show the benefits (e.g., expected profit gain) of using stochastic models versus deterministic models.

Suggested Citation

  • Huang, Yuping & Zheng, Qipeng P. & Fan, Neng & Aminian, Kashy, 2014. "Optimal scheduling for enhanced coal bed methane production through CO2 injection," Applied Energy, Elsevier, vol. 113(C), pages 1475-1483.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1475-1483
    DOI: 10.1016/j.apenergy.2013.08.074
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    9. Zhou, Aitao & Li, Jingwen & Gong, Weili & Wang, Kai & Du, Changang, 2023. "Theoretical and numerical study on the contribution of multi-hole arrangement to coalbed methane extraction," Energy, Elsevier, vol. 284(C).
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    12. Zhou, Lijun & Zhou, Xihua & Fan, Chaojun & Bai, Gang, 2022. "Coal permeability evolution triggered by variable injection parameters during gas mixture enhanced methane recovery," Energy, Elsevier, vol. 252(C).
    13. Yang, Ruiyue & Hong, Chunyang & Huang, Zhongwei & Song, Xianzhi & Zhang, Shikun & Wen, Haitao, 2019. "Coal breakage using abrasive liquid nitrogen jet and its implications for coalbed methane recovery," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    14. Guozhong Hu & Jialin Xu & Fuxi Zhang & Changchun Zhao & Wei Qin & Yiran Zhu, 2015. "Coal and Coalbed Methane Co-Extraction Technology Based on the Ground Movement in the Yangquan Coalfield, China," Energies, MDPI, vol. 8(7), pages 1-17, July.
    15. Huang, Zhouchun & Zheng, Qipeng Phil, 2020. "A multistage stochastic programming approach for preventive maintenance scheduling of GENCOs with natural gas contract," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1036-1051.
    16. Wang, Yiwei & Deng, Ye & Guo, Xuqiang & Sun, Qiang & Liu, Aixian & Zhang, Guangqing & Yue, Gang & Yang, Lanying, 2018. "Experimental and modeling investigation on separation of methane from coal seam gas (CSG) using hydrate formation," Energy, Elsevier, vol. 150(C), pages 377-395.
    17. Fan, Lurong & Wang, Binyu & Song, Xiaoling, 2023. "An authority-enterprise equilibrium differentiated subsidy mechanism for promoting coalbed methane extraction in multiple coal seams," Energy, Elsevier, vol. 263(PA).
    18. Yan, Jin & Lu, Yi-Yu & Zhong, Dong-Liang & Zou, Zhen-Lin & Li, Jian-Bo, 2019. "Enhanced methane recovery from low-concentration coalbed methane by gas hydrate formation in graphite nanofluids," Energy, Elsevier, vol. 180(C), pages 728-736.
    19. Fan, Lurong & Ma, Ning & Zhang, Wen, 2023. "Multi-stakeholder equilibrium-based subsidy allocation mechanism for promoting coalbed methane scale extraction-utilization," Energy, Elsevier, vol. 277(C).

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