Experimental Study on Conductivity of Hydraulic Fracture in Coal Bed

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Authors

  • China University of Petroleum, Beijing, State Key Laboratory of Petroleum Resource and Prospecting, Beijing 102 249 ,CN
  • China University of Petroleum, Beijing, State Key Laboratory of Petroleum Resource and Prospecting, Beijing 102 249 ,CN
  • China University of Petroleum, Beijing, State Key Laboratory of Petroleum Resource and Prospecting, Beijing 102 249 ,CN

Keywords:

Coal Bed, Hydraulic Fracture, Proppant, Conductivity.

Abstract

Hydraulic fracturing is an important stimulation technology of coal bed methane well. It is different between CBM reservoirs and conventional oil and gas reservoirs. The research conclusion of coal bed hydraulic fracture conductivity is different from that of conventional oil and gas reservoir. It is necessary to carry out the research of coal bed hydraulic fracture conductivity. In this paper, fracture conductivity of coal rock is evaluated by FCES-100 fracture conductometer. The effect of closure pressure, sand concentration, time, the natural fractures of coal rock as well as proppant type on fracture conductivity are studied. The study shows that as the closure pressure increases, there is a decline of more than 50% about coal bed fracture conductivity. The conductivity under high sand concentration is significantly higher than that under single layer sand concentration. Thereby, increasing the concentration of sand is conducive to the formation of high conductivity fracture. With the time increase, fracture conductivity is decreased with a decline of 20%~35%. Natural fracture has a direct impact on conductivity, and this impact is performed particularly evidently in the case of a higher closure pressure. Meanwhile proppant type is also an important factor in affecting the fracture conductivity.

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Published

2022-10-20

How to Cite

Guang, D., Jingen, D., & Haiyan, Z. (2022). Experimental Study on Conductivity of Hydraulic Fracture in Coal Bed. Journal of Mines, Metals and Fuels, 66(4), 223–226. Retrieved from https://informaticsjournals.co.in/index.php/jmmf/article/view/31688

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