Abstract
The ultra-low-permeability shale gas reservoir has a lot of well-developed natural fractures. It has been proven that hydraulic fracture growth pattern is usually a complex network fracture rather than conventional single planar fractures by micro-seismic monitoring, which can be explained as the shear and tensile failure of natural fractures or creation of new cracks due to the increase in reservoir pore pressure caused by fluid injection during the process of hydraulic fracturing. In order to simulate the network fracture growth, a mathematical model was established based on full tensor permeability, continuum method and fluid mass conservation equation. Firstly, the governing equation of fluid diffusivity based on permeability tensor was solved to obtain the reservoir pressure distribution. Then Mohr–Coulomb shear failure criterion and tensile failure criterion were used to decide whether the rock failed or not in any block on the basis of the calculated reservoir pressure. The grid-block permeability was modified according to the change of fracture aperture once any type of rock failure criterion was met within a grid block. Finally, the stimulated reservoir volume (SRV) zone was represented by an enhancement permeability zone. After calibrating the numerical solution of the model with the field micro-seismic information, a sensitivity study was performed to analyze the effects of some factors including initial reservoir pressure, injection fluid volume, natural fracture azimuth angle and horizontal stress difference on the SRV (shape, size, bandwidth and length). The results show that the SRV size increases with the increasing initial pore reservoir and injection fluid volume, but decreases with the increase in the horizontal principal stress difference and natural fracture azimuth angle. The SRV shape is always similar for different initial pore reservoir and injection fluid volume. The SRV is observed to become shorter in length and wider in bandwidth with the decrease in natural fracture azimuth angle and horizontal principal stress difference.
Similar content being viewed by others
References
Cipolla CL (2009) Modeling production and evaluating fracture performance in unconventional gas reservoirs. J Pet Technol 61(09):84–90
Fanchi JR (2008) Directional permeability. SPE Reserv Eval Eng 11(03):565–568
Fredd CN, McConnell SB, Boney CL et al (2001) Experimental study of fracture conductivity for water-fracturing and conventional fracturing applications. SPE J 6(03):288–298
Ge J, Ghassemi A (2012) Stimulated reservoir volume by hydraulic fracturing in naturally fractured shale gas reservoirs. In: 46th US rock mechanics/geomechanics symposium. American Rock Mechanics Association, 24–27 June, Chicago
Ghassemi A, Zhou XX, Rawal C (2013) A three-dimensional poroelastic analysis of rock failure around a hydraulic fracture. J Pet Sci Eng 108:118–127
Guo J, Liu Y (2014a) Opening of natural fracture and its effect on leakoff behavior in fractured gas reservoirs. J Nat Gas Sci Eng 18:324–328
Guo J, Liu Y (2014b) A comprehensive model for simulating fracturing fluid leakoff in natural fractures. J Nat Gas Sci Eng 21:977–985
Hossain MM, Rahman MK, Rahman SS (2002) A shear dilation stimulation model for production enhancement from naturally fractured reservoirs. SPE J 7(02):183–195
Hu YQ, Li ZQ, Zhao JZ et al (2016) Optimization of hydraulic fracture-network parameters based on production simulation in shale gas reservoirs. J Eng Res 4(04):159–180
Ji LJ, Settari A, Sullivan RB (2009) A novel hydraulic fracturing model fully coupled with geomechanics and reservoir simulation. SPE J 14(03):423–430
Maulianda BT, Hareland G, Chen S (2014) Geomechanical consideration in stimulated reservoir volume dimension models prediction during multi-stage hydraulic fractures in horizontal Wells–Glauconite tight formation in Hoadley field. In: 48th US rock mechanics/geomechanics symposium. American Rock Mechanics Association
Mayerhofer MJ, Lolon EP, Warpinski NR et al (2010) What is stimulated reservoir volume (SRV)? SPE Prod Oper 15(4):473–485
Nassir M, Settari A, Wan RG (2012) Prediction and optimization of fracturing in tight gas and shale using a coupled geomechanical model of combined tensile and shear fracturing. In: Paper SPE-152200-MS presented at the SPE hydraulic fracturing technology conference, 6–8 February, The Woodlands
Nassir M, Settari A, Wan RG (2014) Prediction of stimulated reservoir volume and optimization of fracturing in tight gas and shale with a fully elasto-plastic coupled geomechanical model. SPE J 19(05):771–785
Palmer ID, Moschovidis ZA, Cameron JR (2007) Modeling shear failure and stimulation of the Barnett shale after hydraulic fracturing. In: Paper SPE-106113-MS presented at the hydraulic fracturing technology conference, 29–31 January, College Station
Palmer I, Cameron J, Moschovidis Z et al (2009) Natural fractures influence shear stimulation direction. Oil Gas J 107(12):37–43
Palmer ID, Moschovidis ZA, Schaefer A (2013) Microseismic clouds: modeling and implications. SPE Prod Oper 28(02):181–190
Potluri NK, Zhu D, Hill AD (2005) The effect of natural fractures on hydraulic fracture propagation. In: Paper SPE-94568-MS presented at SPE European formation damage conference, 25–27 May, Sheveningen
Ren L, Lin R, Zhao J et al (2015) Simultaneous hydraulic fracturing of ultra-low permeability sandstone reservoirs in China: mechanism and its field test. J Cent South Univ 22:1427–1436
Ren L, Su Y, Zhan S et al (2016) Modeling and simulation of complex fracture network propagation with SRV fracturing in unconventional shale reservoirs. J Nat Gas Sci Eng 28:132–141
Shahid ASA, Wassing BBT, Fokker PA et al (2015) Natural-fracture reactivation in shale gas reservoir and resulting microseismicity. J Can Pet Technol 54(06):450–459
Sun RZ (2016) The research on the calculation method of stimulated reservoir volume for shale gas reservoir in Fuling area of China. Master Degree Thesis, Southwest Petroleum University
Wang Y, Li X, Zhou RQ et al (2016) Numerical evaluation of the shear stimulation effect in naturally fractured formations. Sci China Earth Sci 59(2):371–383
Warpinski NR, Wolhart SL, Wright CA (2001) Analysis and prediction of microseismicity induced by hydraulic fracturing. In: Paper SPE 71649-MS presented at the SPE annual technical conference and exhibition, 30 September–3 October, New Orleans
Weng X, Kresse O, Cohen CE et al (2011) Modeling of hydraulic-fracture-network propagation in a naturally fractured formation. SPE Prod Oper 26(04):368–380
Xu W, Thiercelin MJ, Walton IC (2009) Characterization of hydraulically-induced shale fracture network using an analytical/semi-analytical model. In: Paper SPE 124697-MS presented at the SPE annual technical conference and exhibition, 4–7 October, New Orleans
Xu W, Thiercelin M, Ganguly U et al (2010) Wiremesh: a novel shale fracturing simulator. In: Paper SPE 132218 presented at CPS/SPE international oil and gas conference and exhibitiion, Beijing, 8–10 June
Yu G, Aguilera R (2012) 3D analytical modeling of hydraulic fracturing stimulated reservoir volume. In: Paper SPE-153468 presented at SPE Latin America and Caribbean petroleum engineering conference, 16–18 April, Mexico City
Zhang J, Kamenov A, Zhu D et al (2013) Laboratory measurement of hydraulic fracture conductivities in the Barnett shale. In: Paper IPTC-16444-MS presented at the international petroleum technology conference, 26–28 March, Beijing
Zou Y, Zhang S, Ma X et al (2016) Numerical investigation of hydraulic fracture network propagation in naturally fractured shale formations. J Struct Geol 84:1–13
Acknowledgments
This study was supported by the National Natural Science Foundation of China (51490653), and the foundation of Chuanqing Drilling Company of PetroChina (CQ2015B-8-1-1). We would also like to express our gratitude to the reviewers for their careful review of this manuscript. Their comments are incredibly valuable and improved the study.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hu, Y., Li, Z., Zhao, J. et al. Prediction and analysis of the stimulated reservoir volume for shale gas reservoirs based on rock failure mechanism. Environ Earth Sci 76, 546 (2017). https://doi.org/10.1007/s12665-017-6830-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-017-6830-3