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Intelligent and integrated techniques for coalbed methane (CBM) recovery and reduction of greenhouse gas emission

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Abstract

Coalbed methane (CBM) recovery is a crucial approach to realize the exploitation of a clean energy and the reduction of the greenhouse gas emission. In the past 10 years, remarkable achievements on CBM recovery have been obtained in China. However, some key difficulties still exist such as long borehole drilling in complicated geological condition, and poor gas drainage effect due to low permeability. In this study, intelligent and integrated techniques for CBM recovery are introduced. These integrated techniques mainly include underground CBM recovery techniques and ground well CBM recovery techniques. The underground CBM recovery techniques consist of the borehole formation technique, gas concentration improvement technique, and permeability enhancement technique. According to the division of mining-induced disturbance area, the ground well arrangement area and well structure type in mining-induced disturbance developing area and mining-induced disturbance stable area are optimized to significantly improve the ground well CBM recovery. Besides, automatic devices such as drilling pipe installation device are also developed to achieve remote control of data recording, which makes the integrated techniques intelligent. These techniques can provide key solutions to some long-term difficulties in CBM recovery.

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Acknowledgements

This work is financially supported by the National Science and Technology Major Project of China (Grant Nos. 2016ZX05045-004 and 2016ZX05043005), the State Key Research Development Program of China (Grant Nos. 2016YFC0801402 and 2016YFC0801404), and the National Natural Science Foundation of China (51674050), which are gratefully acknowledged.

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Correspondence to Liang Yunpei.

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Qianting, H., Yunpei, L., Han, W. et al. Intelligent and integrated techniques for coalbed methane (CBM) recovery and reduction of greenhouse gas emission. Environ Sci Pollut Res 24, 17651–17668 (2017). https://doi.org/10.1007/s11356-017-9335-4

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  • DOI: https://doi.org/10.1007/s11356-017-9335-4

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