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Numerical simulation on the effect of particle shape on mechanical response of proppants in horizontal fractures

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Abstract

Particle geometry significantly influences the mechanical characteristics of sand. Hence, understanding the mechanical response of different shaped granular particle pack under compressive stress is important for estimating their influence on fracture conductivity as reported by Mollanouri Shamsi et al. (in: SPE paper SPE-190024-MS presented at the SPE Western Regional Meeting held in Garden Grove, California, 2018). Consequently, when modeling the behavior of granular assemblies, it is crucial that they are appropriately simulated as accurate as possible. In this study, a clumped particle logic which combines two or more spherical particles and allows for overlap is adopted to model proppant particle shapes. Three groups of particles: Particle A, Particle B and Particle C with different sphericity and aspect ratio are generated randomly and assembled between two rough parallel fracture plates. The rough surfaces which adhere to normal distribution were generated using Gaussian distribution model. A discrete element method approach using linear contact model is then implemented to replicate the real particle shapes and their assembly. Then, the fracture closure condition on each proppant pack is simulated by uniaxial compression. Results show that particle shape influences mechanical response (unconfined pack bed height, packing porosity, constrained modulus and coordination number) of proppant pack in fractures. The proposed work provides an effective insight for understanding mechanics of proppant of different shape and how it later influences fracture. It also avails an avenue for optimizing proppant shape based on expected combinations of field operations.

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Abbreviations

A :

Contact area

AR:

Aspect ratio

E * :

Effective modulus

F c :

Contact force

\(F^{n}\) :

Normal force

F t :

Tangential force

F l :

Linear force

F d :

Damping force

d p :

Diameter of particle

C n :

Normal damping coefficient

C t :

Shear damping coefficient

\(S_{s}\) :

Sphere surface area

\(S_{p}\) :

Particle surface area

\(U_{n}\) :

Normal displacement

\(U_{{\rm si}}\) :

Shear displacement

\(V_{p}\) :

Particle volume

\(\varphi _{s}\) :

Sphericity

δn :

Overlap in normal direction

\(\Psi _{{\max }} ,\Psi _{{\min }}\) :

Maximum and minimum ferret diameter

References

  1. Holditch SA, Ayers WB, Bickley JA, Blasingame TA, Hoefner M, Jochen VA, Lee WJ (2007) Working Document - National Petroleum Council Global Oil & Gas Study, Topic Paper #29, Unconventional Gas. https://npchardtruthsreport.org/Hard_Truths-Topic_Papers/29-TTG-Unconventional-Gas.pdf. Accessed from 15 June 2019.

  2. Adachi J, Siebrits E, Peirce A, Desroches J (2007) Computer simulation of hydraulic fractures. Int J Rock Mech Min Sci 44(5):739–757

    Article  Google Scholar 

  3. Dejam M, Hassanzadeh H, Chen Z (2014) Shear dispersion in a fracture with porous walls. Adv Water Resour 74:14–25

    Article  Google Scholar 

  4. Dejam M, Hassanzadeh H, Chen Z (2015) Shear dispersion in combined pressure driven and electro-osmotic flows in a capillary tube with a porous wall. AIChE J 61(11):3981–3995

    Article  Google Scholar 

  5. Dejam M (2019) Advective-diffusive-reactive solute transport due to non-Newtonian fluid flows in a fracture surrounded by a tight porous medium. Int J Heat Mass Transf 128:1307–1321

    Article  Google Scholar 

  6. Wei M, Duan Y, Dong M, Fang Q, Dejam M (2019) Transient production decline behavior analysis for a multi-fractured horizontal well with discrete fracture networks in shale gas reservoirs. J Porous Media 22(3):343

    Article  Google Scholar 

  7. Sun H, Yao J, Cao YC, Fan DY, Zhang L (2017) Characterization of gas transport behaviors in shale gas and tight gas reservoirs by digital rock analysis. Int J Heat Mass Transf 104:227–239

    Article  Google Scholar 

  8. Zhang L et al (2018) Performance analysis for a model of a multi-wing hydraulically fractured vertical well in a coalbed methane gas reservoir. J Pet Sci Eng 166:104–120

    Article  Google Scholar 

  9. Baldini M, Carlevaro CM, Pugnaloni LA, Sánchez M (2018) Numerical simulation of proppant transport in a planar fracture. A study of perforation placement and injection strategy. Int J Multiph Flow 109:207–218

    Article  MathSciNet  Google Scholar 

  10. Alotaibi MA, Miskimins JL (2015) Slickwater proppant transport in complex fractures: new experimental findings & scalable correlation. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.

  11. Economides MJ, Nolte KG (2000) Reservoir stimulation, 3rd edn. Wiley and Sons Ltd., West Sussex, England

    Google Scholar 

  12. Reinicke A, Rybacki E, Stanchits S, Huenges E, Dresen G (2010) Hydraulic fracturing stimulation techniques and formation damage mechanisms-implications from laboratory testing of tight sandstone-proppant systems. Chem Erde-Geochem 70:107–117. https://doi.org/10.1016/j.chemer.2010.05.016

    Article  Google Scholar 

  13. Veatch RW (1983) Overview of current hydraulic fracturing design and treatment technology—Part 2. J Pet Technol 35(5):853–864. https://doi.org/10.2118/11922-PA

    Article  Google Scholar 

  14. Gallagher D (2011) Hierarchy of oily conductivity. J Pet Technol 63(4):18–20. https://doi.org/10.2118/0411-0018-JPT

    Article  Google Scholar 

  15. Liang F, Sayed M, Al-Muntasheri G, Chang FF (2015) Overview of existing proppant technologies and challenges. In: SPE-172763-MS paper presentated at the SPE Middle East Oil & Gas Show and Conference held in Manama, Bahrain

  16. Kozeny J (1927) Ueber kapillare Leitung des Wassers im Boden. Sitzungsber Akad. Wiss., Wien, 136(2a), 271–306.

  17. Carman PC (1937) Fluid flow through granular beds. Trans, Inst. of Chem 15:150–166

    Google Scholar 

  18. Ergun S (1952) Fluid flow through packed columns. Chem Eng Prog 48:89–94

    Google Scholar 

  19. McDaniel GA, Abbott J, Mueller FA, Anwar AM, Pavlova S, Nevvonen O, Parias T, Alary J (2010) Changing the shape of fracturing: new proppant improves fracture conductivity, SPE Annual Tech Conf. Exhb Florence, Italy, https://doi.org/10.2118/135360-MS

  20. Ting JM, Meachum L, Rowell JD (1995) Effect of particle shape on the strength and deformation mechanisms of ellipse shaped granular assemblages. Eng Comput 12(2):99–108. https://doi.org/10.1108/02644409510799497

    Article  Google Scholar 

  21. Lin A (1999) Roundness of clasts in pseudotachylytes and cataclastic rocks as an indicator of frictional melting. J Struct Geol 21(5):473–478. https://doi.org/10.1016/S0191-8141(99)00030-9

    Article  Google Scholar 

  22. Antony SJ, Kuhn MR (2004) Influence of particle shape on granular contact signatures and shear strength: new insights from simulations. Int J Solids Struct 41(21):5863–5870. https://doi.org/10.1016/j.ijsolstr.2004.05.067l

    Article  MATH  Google Scholar 

  23. Härtl J, Ooi JY (2011) Numerical investigation of particle shape and particle friction on limiting bulk friction in direct shear tests and comparison with experiments. Powder Technol 212(1):231–239. https://doi.org/10.1016/j.powtec.2011.05.022

    Article  Google Scholar 

  24. Liu D, Xie TT, Ma G, Chang XL (2011) Effect of particle shape on mechanical characters of rockfill in True triaxial numerical experiments. Chin J Water Resour Power 29(9):68–71

    Google Scholar 

  25. Dodds J (2003) Particle Shape and Stiffness-Effects on Soil Behavior, Institute of Technology, Atlanta,Ga,USA, https://smartech.gatech.edu/bitstream/handle/1853/8063/Dodds_Jake_S_200405.pdf, Accessed from 29 May 2019.

  26. Liu QB, Xiang B, Cui WM (2011) Study of particle shape quantification and effect on mechanical property of sand. Rock Soil Mech 32(1):190–197

    Google Scholar 

  27. Shamsi MMM, Mirghasemi AA (2013) Mechanical behavior of granular particles with different angularities, constitutive modeling of geomaterials. Springer, Berlin, Heidelberg, pp 431–440

    Google Scholar 

  28. Shamsi MMM, Nia SF, Jessen K (2017) Dynamic conductivity of proppant filled fractures. J Pet Sci Eng 151:183–193. https://doi.org/10.1016/j.petrol.2016.12.030

    Article  Google Scholar 

  29. Liu G, Thompson KE (2000) Influence of computational domain boundaries on internal structure in low-porosity sphere packing. Powder Technol 113:185–196

    Article  Google Scholar 

  30. Scott GD (1960) Packing of spheres. Nature 188:908–909

    Article  Google Scholar 

  31. Alary JA, Parias T (2013) Method of Manufacturing and Using Rod-Shaped Proppants and Anti-Flowback Additives, US Patent No. 8,562,900 B2.

  32. Zhang W, Thompson KE, Reed AH, Beenken L (2006) Relationship between packing structure and porosity in fixed beds of equilateral cylindrical particles. Chem Eng Sci 61(24):8060–8074. https://doi.org/10.1016/j.ces.2006.09.036

    Article  Google Scholar 

  33. Roblee LHS, Baird RM, Tierney JW (1958) Radial porosity variations in packed beds. AIChEJc 4:460–464

    Article  Google Scholar 

  34. PhoowarangJ (2012) A numerical model investigation of the packing characteristics of different shaped proppants for use with hydraulic fracturing. MSc Thesis, Department of Earth Science and Engineering Imperial College London.

  35. Krumbein WC, Schloss LL (1963) Stratigraphy and sedimentation, 2nd edn. W. H. Freeman and Company, San Francisco, p 660

    Google Scholar 

  36. API RP19C (2014) Recommended practice for measurement of and specifications for proppants used in hydraulic fracturing and gravel-packing operations, 2nd ed, 43.

  37. Mollanouri Shamsi MM, Mirghasemi AA (2012) Numerical simulation of 3D semi-real-shaped granular particle assembly. Powder Technol 221:431–446. https://doi.org/10.1016/j.powtec.2012.01.042

    Article  Google Scholar 

  38. Mollanouri Shamsi MM, Aminzadeh F, Jessen K (2018) Proppant shape effect on dynamic conductivity of a fracture filled with proppants. In: SPE paper SPE-190024-MS presented at the SPE Western Regional Meeting held in Garden Grove, California, USA.

  39. Li N, Dai J, Li J, Bai F, Liu P, Luo Z (2016) Application status and research progress of shale reservoirs acid treatment technology. Nat Gas Ind B 3(2):165–172

    Article  Google Scholar 

  40. Ogilvie SR, Isakov E, Glover PW (2006) Fluid flow through rough fractures in rocks. II: a new matching model for rough rock fractures. Earth Planet Sci Lett 241(3–4):454–465

    Article  Google Scholar 

  41. Yang Y, Liu Z, Yao J, Zhang L, Ma J, Hejazi SH, Luquot L, Ngarta TD (2018) Flow simulation of artificially induced microfractures using digital rock and lattice Boltzmann methods. Energies 11(8):2145

    Article  Google Scholar 

  42. Guo L, Xu H, Gong L (2015) Influence of wall roughness models on fluid flow and heat transfer in microchannels. Appl Therm Eng 84:399–408

    Article  Google Scholar 

  43. Sommerfeld M, Kussin J (2004) Wall roughness effects on pneumatic conveying of spherical particles in a narrow horizontal channel. Powder Technol 142(2–3):180–192

    Article  Google Scholar 

  44. Huang H, Babadagli T, Andy Li H, Develi K (2018) Visual analysis on the effects of fracture-surface characteristics and rock type on proppant transport in vertical fractures. In: SPE Hydraulic Fracturing Technology Conference and Exhibition, Society of Petroleum Engineers

  45. Tan Y, Pan Z, Liu J, Wu Y, Haque A, Connell LD (2017) Experimental study of permeability and its anisotropy for shale fracture supported with proppant. J Nat Gas Sci Eng 44:250–264

    Article  Google Scholar 

  46. Zou Y, Ma X, Zhang S, Zhou T, Ehlig-Economides C, Li H (2015) The origins of low-fracture conductivity in soft shale formations: an experimental study. Energy Technol 3(12):1233–1242

    Article  Google Scholar 

  47. Dorari E, Saffar-Avval M, Mansoori Z (2015) Numerical simulation of gas flow and heat transfer in a rough microchannel using the lattice Boltzmann method. Phys Rev E 92(6):063034

    Article  Google Scholar 

  48. Hemmati Y, Rafee R (2018) Effects of the shape and height of artificial 2D roughness elements on deposition of nano and microparticles in the turbulent gas flow inside a horizontal channel. J Aerosol Sci 122:45–58

    Article  Google Scholar 

  49. Hong W, Wang X, Zheng J (2018) Numerical study on particle deposition in rough channels with different structure parameters of rough elements. Adv Powder Technol 29(11):2895–2903

    Article  Google Scholar 

  50. Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Géotechnique 29:47–65. https://doi.org/10.1680/geot.1979.29.1.47

    Article  Google Scholar 

  51. Ai J, Chen JF, Rotter JM, Ooi JY (2011) Assessment of rolling resistance models in discrete element simulations. Powder Technol 206(3):269–282

    Article  Google Scholar 

  52. Hertz H (1881) Ueber die Berührung fester elastischer Koerper. J Reine Angew Math 92:156–171

    Google Scholar 

  53. Mindlin RD (1949) Compliance of elastic bodies in contact. ASME Trans J Appl Mech 16:259–268

    Article  MathSciNet  Google Scholar 

  54. Donev A, Connelly R, Stillinger FH et al (2007) Under-constrained jammed packings of non-spherical hard particles: ellipse and ellipsoids. Phys Rev E 75:051304

    Article  MathSciNet  Google Scholar 

  55. Kassis S, Carl H (2010) Fracture permeability of Gas Shale: Effects of Rough Surface, Fracture Offset, Proppant, and Effective Stress. In: Presented at CPS/SPE International Oil & Gas Conference and Exhibition Beijing, China, 8–10 June. SPE 131376

  56. Li X, Feng Z, Han G, Elsworth D, Marone C, Saffer D, Cheon D (2016) Breakdown pressure and fracture surface morphology of hydraulic fracturing in shale with H2O, CO2 and N2. Geomech Geophys Geo-energy Geo-resour 2:63–76. https://doi.org/10.1007/s40948-016-0022-6

    Article  Google Scholar 

  57. Zhang CP, Cheng P, Ranjith PG, Lu YY, Zhou JP (2020) A comparative study of fracture surface roughness and flow characteristics between CO2 and water fracturing. J Nat Gas Sci Eng. https://doi.org/10.1016/j.jngse.2020.103188

    Article  Google Scholar 

  58. Torquato S, Jiao Y (2009) Dense packings of the platonic and archimedean solids. Nature 460:876–879

    Article  Google Scholar 

  59. Alexander S (1998) Amorphous solids: their structure, lattice dynamics and elasticity. Phys Rep 296:65

    Article  Google Scholar 

  60. Itasca Consulting Group (2008). Inc. PFC3D Manual.

  61. Chaikin P, Wang S, Jaoshvili A (2007) packing of tetrahedral and other dice. In: American Physical Society, APS March Meeting, March 5−9

  62. VanderWerf K, Jin W, Shattuck MD, O’Hern CS (2018) Hypostatic jammed packings of frictionless nonspherical particles. Phys Rev E 97:012909. https://doi.org/10.1103/PhysRevE.97.012909

    Article  Google Scholar 

  63. Schreck CF, Xu N, O’Hern CS (2010) A comparison of jamming behavior in systems composed of dimer and ellipse shaped particles. Soft Matter. https://doi.org/10.1039/c001085e

    Article  Google Scholar 

  64. Koyama T, Jing L (2007) Effects of model scale and particle size on micro-mechanical properties and failure processes of rocks—a particle mechanics approach. Eng Anal Bound Elem 31(5):458–472. https://doi.org/10.1016/j.enganabound.2006.11.009

    Article  MATH  Google Scholar 

  65. Zheng, W. (2017). Laboratory and discrete element study of proppant crushing and embedment and their influence on fracture conductivity, PhD Thesis, University of British Columbia, Okanagan https://open.library.ubc.ca/media/stream/pdf/24/1.0362394/4

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Acknowledgements

This work was supported by scientific research fund of China University of Petroleum (Beijing) -2462016YJRC004/2462017YJRC022/ RCYJ2017B-01-003 (At Karamay, and major projects in karamay-2018ZD001B).

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Osuji, N.I., Zhang, J. & Tagne, M.D. Numerical simulation on the effect of particle shape on mechanical response of proppants in horizontal fractures. Comp. Part. Mech. 9, 513–523 (2022). https://doi.org/10.1007/s40571-021-00425-x

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