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Environmental Science and Pollution Research

, Volume 26, Issue 11, pp 11458–11469 | Cite as

Evaluation of underground hydraulic fracturing using transient electromagnetic method

  • Xiaoguang WangEmail author
Research Article
  • 61 Downloads

Abstract

The effective area of hydraulic fracturing is the core index to evaluate its effects. Through conducting transient electromagnetic tests, this paper deals with the influential range of the underground hydraulic fracturing as well as water-cut detection and gas extraction in the fracturing area. The resistivity response law of the coal seam in hydraulic fracturing process is explored, and the water-bearing area is determined. The obtained results from the tests show that the water-cut areas of the coal seam, measured by anti-interference transient electromagnetic instrument after fracturing, are commonly placed in the low-resistance area of the transient test. Further, the variations of amplitude of the low-resistance area in various directions of the test line are different. According to the variation law of the apparent resistivity of the coal seam before and after fracturing, the effective influential area of the hydraulic fracturing is defined, and the influence range is evaluated to be 35 m. The water cut and the gas extraction tests of the coal seam before and after fracturing are performed. The results reveal that the growth of water content in the coal seam is inversely proportional to the distance from the hydraulic fracturing borehole. The effective fracturing zone with the increment of the water content reaching 0.2% is the effective fracturing zone, and the effective fracturing zone of #9 and #10 is 38 m. After hydraulic fracturing, the gas extraction concentration would be in the range of 25.4–75.4%, with the average of 70.22%, which is 21.22% higher than that of the original coal body. The net amount of the gas extraction after fracturing is about eight times of that before fracturing. The effective fracturing range, which is determined by transient electromagnetic, is verified successfully. Exploring the effective fracturing regions of the hydraulic fracturing process would be very helpful in improving the evaluation system of the hydraulic fracturing effect.

Keywords

Hydraulic fracturing Electromagnetic radiation Low-resistance zone Fracturing area 

Notes

Funding information

This work was financially supported by the Graduate Student Research Innovation Project (Project No. CYB17045).

Supplementary material

11356_2019_4539_MOESM1_ESM.docx (2.3 mb)
ESM 1 (DOCX 2.27 mb)

References

  1. Chen L, Wang S, He J, Zhang X, Hu Q, Zhang Y (2016) Coalbed methane reservoir heterogeneity and its control effect on gas wells productivity. J China Univ Min Technol 45:105–110Google Scholar
  2. Commer M, Newman G (2004) A parallel finite-difference approach for 3D transient electromagnetic modeling with galvanic sources. Geophysics 69(5):1192–1202Google Scholar
  3. Estrada JMAR (2016) A review of the issues and treatment options for wastewater from shale gas extraction by hydraulic fracturing. Fuel 182:292–303Google Scholar
  4. Ezersky M (2011) TEM study of the geoelectrical structure and groundwater salinity of the Nahal Hever sinkhole site, Dead Sea shore, Israel. J Appl Geophys 75(1):99–112Google Scholar
  5. Grimm RE, Stillman DE, Dinwiddie CL (2017) On conductive ground: analysis of bistatic sounding of the deep subsurface with ground penetrating radar-experimental validation by V. Ciarletti et al. Planet Space Sci 139:51–56Google Scholar
  6. He Q, Suorineni FTM (2017) Effect of discontinuity pressure shadows on hydraulic fracture re-orientation. Int J Rock Mech Min 91:179–194Google Scholar
  7. Keydar DS (2010) Application of seismic diffraction imaging for detecting near-surface in homogeneities in the Dead Sea area. J Appl Geophys 71(2):47–52Google Scholar
  8. Khan MY, Xue GQ, Chen WY (2018) Analysis of long-offset transient electromagnetic (LOTEM) data in time, frequency, and pseudo-seismic domain. J Environ Eng Geophys 23:15–32Google Scholar
  9. Lee S, Memechan GA (1987) The electromagnetic equivalent of seismic migration. Geophysics 52(5):678–693Google Scholar
  10. Lee KH, Liu G, Morrison HF (1989) A new approach to modeling the electromagnetic response of conductive media. Geophysics 54(6):1180–1192Google Scholar
  11. Li X, Xue GQ, Song JP (2005) Optimization algorithm from transient electromagnetic field to wave field. Geophysics 48(5):1185–1190Google Scholar
  12. Li Q, Lin B, Zhai C (2014a) The effect of pulse frequency on the fracture extension during hydraulic fracturing. J Nat Gas Sci Eng 21:296–303Google Scholar
  13. Li SC, Sun HF, Lu XS (2014b) Three-dimensional modeling of transient electromagnetic responses of water-bearing structures in front of a tunnel face. J Environ Eng Geophys 19(1):13–32Google Scholar
  14. Li Q, Lin B, Zhai C (2015) A new technique for preventing and controlling coal and gas outburst hazard with pulse hydraulic fracturing: a case study in Yuwu coal mine, China. Nat Hazards 75:2931–2946Google Scholar
  15. Li SC, Li K, Zhai MH (2016) Analysis of grounded transient electromagnetic with surface-tunnel configuration in mining. J China Coal Soc 41(8):2024–2032Google Scholar
  16. Li C, Fu S, Cui Y, Sun X, Xie B, Yang W (2017) Study of the migration rule of high-concentration gas and spatial-temporal feature of gas hazard in the tunnel. J China Univ Min Technol 46:27–32Google Scholar
  17. Liu X, Jiao CQ, Yao AF (2015) Orthogonal experiment design of EMI of security monitoring system in coal mines. Int J Coal Sci Technol 2(4):325–332Google Scholar
  18. Lu T, Liu SD, Wang B, Wu RX, Hu XW (2017) A review of geophysical exploration technology for mine water disaster in China: applications and trends. Mine Water Environ 36:331–340Google Scholar
  19. Oskarsdottir M, Van Calster T, Bart B (2018) Time series for early churn detection: using similarity based classification for dynamic networks. Expert Syst Appl 106:55–65Google Scholar
  20. Pellerin (2014) Toward mixed-element meshing based on restricted voronoi diagrams. Procedia Eng 82(1):279–290Google Scholar
  21. Qiao W, Li WP, Zhang X (2014) Characteristic of water chemistry and hydrodynamics of deep karst and its influence on deep coal mining. Arab J Geosci 7:1261–1275Google Scholar
  22. Schroeder, Barros D, Lima ACS, Afonso, Moura (2018) Evaluation of the impact of different frequency dependent soil models on lightning overvoltages. Electr Power Syst Res 159:40–49Google Scholar
  23. Song XG, Jiang Y, Shan XJ, Qu CY (2017) Deriving 3D coseismic deformation field by combining GPS and in SAR data based on the elastic dislocation model. Int J Appl Earth Obs Geoinf 57:104–112Google Scholar
  24. Spitzer K, Borner J, Afanasjew M (2011) Borehole transient electromagnetic for monitoring CO2 sequestration in saline aquifers. Solid State Electron 51(4):611–616Google Scholar
  25. Strack KM, Seara JL, Gmh G (1990) LOTEM case histories in frontier areas of hydrocarbon exploration in Asia. Seg Exp Abstr 9:495–497Google Scholar
  26. Sun HF (2012) Multi-component and multi-array TEM detection in karst tunnels. J Geophys Eng 9:359–373Google Scholar
  27. Sun HF (2014) Three-dimensional modeling of transient electromagnetic responses of water-bearing structures in front of a tunnel face. J Environ Eng Geophys 19(1):13–32Google Scholar
  28. Tae J, Jung HS, Hee JK (2002) Electromagnetic travel time tomography using approbobility wave-field transform. Geophysics 67(3):67–69Google Scholar
  29. Wang Y, Liu X, Tang C (2016) Effect of injection rate on hydraulic fracturing in naturally fractured shale formations: a numerical study. Environ Earth Sci 75:11Google Scholar
  30. Xue GQ, Yan YJ, Li X (2007) Pseudo-seismic wavelet transformation of transient electromagnetic response in geophysical exploration. J Geophys Res Lett 34:L16405.  https://doi.org/10.1029/2007GL031116 Google Scholar
  31. Xue GQ, Qin KZ, Li X (2012) Discovery of a large-scale porphyry molybdenum deposit in Tibet through a modified tem exploration method. J Environ Eng Geophys 17(1):19–25Google Scholar
  32. Yan LJ, Su ZL, Hu JH (1997) Field trials of LOTEM in a very rugged area. Lead Edge 16(4):379–382Google Scholar
  33. Yan C, Zheng H, Sun G (2016) Combined finite-discrete element method for simulation of hydraulic fracturing. 49:1389–1410Google Scholar
  34. Yang D, Oldenburg DW (2012) Three-dimensional inversion of airborne time-domain electromagnetic data with applications to a porphyry deposit. Geophysics 77(2):B23–B34Google Scholar
  35. Yuan L, Qin Y, Chen Y (2013) Prediction of CBM well long-term extraction scale scenario in China. J Coal 04:529–534Google Scholar
  36. Zhdanov MS, Traynin PN (1995) Resistivity imaging by time domain electromagnetic migration. Explor Geophys 26:186–194Google Scholar
  37. Zou Q, Li Q, Liu T (2017) Peak strength property of the pre-cracked similar material: implications for the application of hydraulic slotting in ECBM. J Nat Gas 37:106–115Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Coal Mine Disaster Dynamics and ControlChongqing UniversityChongqingChina
  2. 2.College of Resources and Environmental ScienceChongqing UniversityChongqingChina

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