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Revealing the laminar shale microdamage mechanism considering the relationship between fracture geometrical morphology and acoustic emission power spectrum characteristics

  • Yuxin Ban
  • Xiang Fu
  • Qiang XieEmail author
Original Paper
  • 42 Downloads

Abstract

The corresponding relationship between the fracture geometrical morphology of laminar shale and the acoustic emission (AE) power spectrum characteristics was established to further reveal the shale microdamage mechanism. Laboratory Brazilian tests coupled with AE and digital image correlation (DIC) were conducted on black shale disks. The amplitude–time–dominant/second dominant frequency values of AE waveforms from the entire loading process were extracted with the function package PSD in MATLAB. The geometrical morphology of shale disk fracture is the result of a dynamic balance of microcracks, spatial anisotropy, local heterogeneity of the shale specimen, and the stress condition. There is a corresponding relationship between the distribution of dominant/second dominant frequency and shale internal microdamage. Four factors contribute to the shale specimen final failure, including the tearing of the shale matrix induced by local tensile failure (high dominant/second dominant frequency components at approximately 300 kHz), shearing on the bedding layer (middle dominant/second dominant frequency components at approximately 200–250 kHz), opening of the bedding layer induced by the weak structural plane, and friction on the microcrack surface (low dominant/second dominant frequency components at approximately 150 kHz). The fracture mainly controlled by the shale matrix tearing is flexible in profile because it is greatly affected by the competition of microcracks and local natural defects in the process of initiation and propagation. The fracture controlled by the opening of the bedding layer is a straight line with the rough surface and the fracture controlled by the shearing on the bedding layer is a straight line with the smooth surface. Finally, the fracture predominantly controlled by friction on the microcrack surface is generally arched. This work is helpful in providing considerations for depicting the probable fracture planar profile and explaining the microdamage mechanism, allowing for the enhancement of human control when constructing complex underground fracture networks in shale reservoirs.

Keywords

Shale Fracture Geometrical morphology Acoustic emission Power spectrum Dominant frequency 

Notes

Acknowledgements

The authors acknowledge financial support of the project (51008319, 51779021) supported by the National Natural Science Foundation of China, the project (2180052020013) supported by the Fundamental Research Funds for the Central Universities, the project (KJQN201802501, KJQN201800745) supported by the Scientific and Technological Research Program of Chongqing Municipal Education Commission, and the project (SLK2018B04) supported by the National Engineering Research Center for Inland Waterway Regulation Open Fund of Chongqing Jiaotong University.

References

  1. ASTM International (2008) ASTM D3967-08. Standard test method for splitting tensile strength of intact rock core specimens. ASTM International, West Conshohocken, PAGoogle Scholar
  2. Behnia A, Chai HK, Shiotani T (2014) Advanced structural health monitoring of concrete structures with the aid of acoustic emission. Constr Build Mater 65:282–302CrossRefGoogle Scholar
  3. Bhuiyan MY, Lin B, Giurgiutiu V (2017) Acoustic emission sensor effect and waveform evolution during fatigue crack growth in thin metallic plate. J Intel Mat Syst Str 29(7):1275–1284CrossRefGoogle Scholar
  4. Bieniawski ZT, Hawkes I (1978) Suggested methods for determining tensile strength of rock materials. Int J Rock Mech Min Sci Geomech Abstr 15:99–103CrossRefGoogle Scholar
  5. Chu TC, Ranson WF, Sutton MA (1985) Applications of digital-image-correlation techniques to experimental mechanics. Exp Mech 25(3):232–244CrossRefGoogle Scholar
  6. Damjanac B, Cundall P (2016) Application of distinct element methods to simulation of hydraulic fracturing in naturally fractured reservoirs. Comput Geotech 71:283–294CrossRefGoogle Scholar
  7. Fu X, Xie Q, Liang L (2015) Comparison of the Kaiser effect in marble under tensile stresses between the Brazilian and bending tests. Bull Eng Geol Environ 74(2):535–543CrossRefGoogle Scholar
  8. Hou P, Gao F, Ju Y et al (2016) Experimental investigation on the failure and acoustic emission characteristics of shale, sandstone and coal under gas fracturing. J Nat Gas Sci Eng 35(A):211–223CrossRefGoogle Scholar
  9. Howarth RW, Santoro R, Ingraffea A (2011) Methane and the greenhouse-gas footprint of natural gas from shale formations. Clim Chang 106(4):679–690CrossRefGoogle Scholar
  10. Hu Y, Liu Y, Cai C et al (2017) Fracture initiation of an inhomogeneous shale rock under a pressurized supercritical CO2 jet. Appl Sci 7(10):1093–1121CrossRefGoogle Scholar
  11. Inui S, Ishida T, Nagaya Y et al (2014) AE monitoring of hydraulic fracturing experiments in granite blocks using supercritical CO2, water and viscous oil. In: Proceedings of the 48th US rock mechanics/geomechanics symposium, Minneapolis, MN, June 2014. American Rock Mechanics Association (ARMA)Google Scholar
  12. Jarvie DM, Hill RJ, Ruble TE et al (2007) Unconventional shale-gas systems: the Mississippian Barnett Shale of north-Central Texas as one model for thermogenic shale-gas assessment. AAPG Bull 91(4):475–499CrossRefGoogle Scholar
  13. Jin Z, Li W, Jin C et al (2018) Anisotropic elastic, strength, and fracture properties of Marcellus shale. Int J Rock Mech Min Sci 109:124–137CrossRefGoogle Scholar
  14. Khazaei C, Hazzard J, Chalaturnyk R (2015) Damage quantification of intact rocks using acoustic emission energies recorded during uniaxial compression test and discrete element modeling. Comput Geotech 67:94–102CrossRefGoogle Scholar
  15. Kim H, Cho JW, Song I et al (2012) Anisotropy of elastic moduli, P-wave velocities, and thermal conductivities of Asan gneiss, Boryeong shale, and Yeoncheon schist in Korea. Eng Geol 147–148:68–77CrossRefGoogle Scholar
  16. Kong B, Wang E, Li Z et al (2017) Acoustic emission signals frequency-amplitude characteristics of sandstone after thermal treated under uniaxial compression. J Appl Geophys 136:190–197CrossRefGoogle Scholar
  17. Lavrov A (2003) The Kaiser effect in rocks: principles and stress estimation techniques. Int J Rock Mech Min Sci 40(2):151–171CrossRefGoogle Scholar
  18. Li H, Lai B, Liu H-H et al (2017a) Experimental investigation on Brazilian tensile strength of organic-rich gas shale. SPE J 22(01):148–161CrossRefGoogle Scholar
  19. Li LR, Deng JH, Zheng L et al (2017b) Dominant frequency characteristics of acoustic emissions in white marble during direct tensile tests. Rock Mech Rock Eng 50(5):1337–1346CrossRefGoogle Scholar
  20. Li XY, Lei XL, Li Q et al (2017c) Experimental investigation of Sinian shale rock under triaxial stress monitored by ultrasonic transmission and acoustic emission. J Nat Gas Sci Eng 43:110–123CrossRefGoogle Scholar
  21. Lockner D (1993) The role of acoustic emission in the study of rock fracture. Int J Rock Mech Min Sci Geomech Abstr 30(7):883–899CrossRefGoogle Scholar
  22. Lyu Q, Long X, Ranjith PG et al (2018) Experimental investigation on the mechanical behaviours of a low-clay shale under water-based fluids. Eng Geol 233:124–138CrossRefGoogle Scholar
  23. Mahanta B, Tripathy A, Vishal V et al (2017) Effects of strain rate on fracture toughness and energy release rate of gas shales. Eng Geol 218:39–49CrossRefGoogle Scholar
  24. Mao W, Towhata I (2015) Monitoring of single-particle fragmentation process under static loading using acoustic emission. Appl Acoust 94:39–45CrossRefGoogle Scholar
  25. Meier T, Rybacki E, Backers T et al (2015) Influence of bedding angle on borehole stability: a laboratory investigation of transverse isotropic oil shale. Rock Mech Rock Eng 48(4):1535–1546CrossRefGoogle Scholar
  26. Moradian Z, Einstein HH, Ballivy G (2016) Detection of cracking levels in brittle rocks by parametric analysis of the acoustic emission signals. Rock Mech Rock Eng 49(3):785–800CrossRefGoogle Scholar
  27. Na S, Sun W, Ingraham MD et al (2017) Effects of spatial heterogeneity and material anisotropy on the fracture pattern and macroscopic effective toughness of Mancos Shale in Brazilian tests. J Geophys Res Solid Earth 122(8):6202–6230CrossRefGoogle Scholar
  28. Nath F, Mokhtari M (2018) Optical visualization of strain development and fracture propagation in laminated rocks. J Pet Sci Eng 167:354–365CrossRefGoogle Scholar
  29. Poddar B, Giurgiutiu V (2017) Detectability of crack lengths from acoustic emissions using physics of wave propagation in plate structures. J Nondestruct Eval 36(2):41CrossRefGoogle Scholar
  30. Rogala A, Księżniak K, Krzysiek J et al (2014) Carbon dioxide sequestration during shale gas recovery. Physicochem Probl Miner Process 50(2):681–692Google Scholar
  31. Ross DJK, Bustin RM (2009) The importance of shale composition and pore structure upon gas storage potential of shale gas reservoirs. Mar Petrol Geol 26(6):916–927CrossRefGoogle Scholar
  32. Slatalla N, Alber M, Kahraman S (2010) Analyses of acoustic emission response of a fault breccia in uniaxial deformation. Bull Eng Geol Environ 69(3):455–463CrossRefGoogle Scholar
  33. Stanchits S, Surdi A, Gathogo P et al (2014) Onset of hydraulic fracture initiation monitored by acoustic emission and volumetric deformation measurements. Rock Mech Rock Eng 47(5):1521–1532CrossRefGoogle Scholar
  34. Tavallali A, Vervoort A (2010) Effect of layer orientation on the failure of layered sandstone under Brazilian test conditions. Int J Rock Mech Min Sci 47(2):313–322CrossRefGoogle Scholar
  35. U.S. Energy Information Administration (EIA) (2015) World shale resource assessments. https://www.eia.gov/analysis/studies/worldshalegas
  36. Virues C, Budge J, Von Lunen E (2015) Microseismic-derived ultimate expected fracture half-length in unconventional stimulated reservoir volume in a multi-fractured horizontal 8 well full pad – Canadian Horn River basin case study. Paper URTEC-2153989-MS presented at the unconventional resources technology conference, San Antonio, TX, July 2015Google Scholar
  37. Wang Y, Li CH (2017) Investigation of the P- and S-wave velocity anisotropy of a Longmaxi formation shale by real-time ultrasonic and mechanical experiments under uniaxial deformation. J Pet Sci Eng 158:253–267CrossRefGoogle Scholar
  38. Wang Y, Li X, Hu R et al (2016a) Numerical evaluation and optimization of multiple hydraulically fractured parameters using a flow-stress-damage coupled approach. Energies 9(5):325CrossRefGoogle Scholar
  39. Wang Y, Li X, Zhang B et al (2016b) Optimization of multiple hydraulically fractured factors to maximize the stimulated reservoir volume in silty laminated shale formation, Southeastern Ordos Basin, China. J Pet Sci Eng 145:370–381CrossRefGoogle Scholar
  40. Wang Y, Wang LH, Wang JQ et al (2017) Investigating microstructure of Longmaxi shale in Shizhu area, Sichuan Basin, by optical microscopy, scanning electron microscopy and micro-computed tomography. Nucl Sci Tech 28(11):163CrossRefGoogle Scholar
  41. Wang X, Wu S, Ge H et al (2018) The complexity of the fracture network in failure rock under cyclic loading and its characteristics in acoustic emission monitoring. J Geophys Eng 15(5):2091–2103CrossRefGoogle Scholar
  42. Xu G, He C, Chen Z et al (2018) Effects of the micro-structure and micro-parameters on the mechanical behaviour of transversely isotropic rock in Brazilian tests. Acta Geotech 13(4):887–910CrossRefGoogle Scholar
  43. Yin H, Zhou J, Xian X et al (2017) Experimental study of the effects of sub- and super-critical CO2 saturation on the mechanical characteristics of organic-rich shales. Energy 132:84–95CrossRefGoogle Scholar
  44. Zhang XW, Lu YY, Tang JR et al (2017) Experimental study on fracture initiation and propagation in shale using supercritical carbon dioxide fracturing. Fuel 190:370–378CrossRefGoogle Scholar
  45. Zhang SW, Shou KJ, Xian XF et al (2018a) Fractal characteristics and acoustic emission of anisotropic shale in Brazilian tests. Tunn Undergr Sp Tech 71:298–308CrossRefGoogle Scholar
  46. Zhang ZH, Deng JH, Zhu JB et al (2018b) An experimental investigation of the failure mechanisms of jointed and intact marble under compression based on quantitative analysis of acoustic emission waveforms. Rock Mech Rock Eng 51(7):2299–2307CrossRefGoogle Scholar
  47. Zhang JZ, Zhou XP, Zhou LS et al (2019) Progressive failure of brittle rocks with non-isometric flaws: Insights from acousto-optic-mechanical (AOM) data. Fatigue Fract Eng Mater Struct 42(8):1787–1802.  https://doi.org/10.1111/ffe.13019 CrossRefGoogle Scholar
  48. Zhao XG, Wang J, Cai M et al (2014) Influence of unloading rate on the strainburst characteristics of Beishan granite under true-triaxial unloading conditions. Rock Mech Rock Eng 47(2):467–483CrossRefGoogle Scholar
  49. Zhou T, Zhu JB, Ju Y et al (2019) Volumetric fracturing behavior of 3D printed artificial rocks containing single and double 3D internal flaws under static uniaxial compression. Eng Fract Mech 205:190–204CrossRefGoogle Scholar
  50. Zhu JB, Zhou T, Liao ZY et al (2018) Replication of internal defects and investigation of mechanical and fracture behaviour of rock using 3D printing and 3D numerical methods in combination with X-ray computerized tomography. Int J Rock Mech Min Sci 106:198–212CrossRefGoogle Scholar
  51. Zhu JB, Li H, Deng JH (2019) A one-dimensional elastoplastic model for capturing the nonlinear shear behaviour of joints with triangular asperities based on direct shear tests. Rock Mech Rock Eng 52(6):1671–1687CrossRefGoogle Scholar
  52. Zhuang Z, Liu Z, Wang T et al (2016) The key mechanical problems on hydraulic fracture in shale. Chin Sci Bull 61(1):72–81 (in Chinese)CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.School of Civil EngineeringChongqing UniversityChongqingChina
  2. 2.School of HehaiChongqing Jiaotong UniversityChongqingChina
  3. 3.Key Laboratory of New Technology for Construction of Cities in Mountain AreaChongqing UniversityChongqingChina

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