A numerical investigation on the effects of rock brittleness on the hydraulic fractures in the shale reservoir

Abstract Hydraulic fracturing is an extensively used technique for development of oil and gas resources. In the shale reservoir, rock brittleness plays an important role during hydraulic fracturing. In this paper, a numerical code known as RFPA (Rock Failure Process Analysis) is introduced and the embedded digital-image-based (DIB) technique is illustrated in detail. Based on this integration, the effects of rock brittleness on the failure mode and stress-strain characteristic of the shale specimens are numerically investigated. It is found that the brittle shale specimen is more likely to rupture with multi crossed failure planes while the ductile specimen is more likely to rupture with a penetrating failure plane, from which we deduce the brittle shale is easier to develop more natural fractures than the ductile shale. The influence of natural fractures on complex hydraulic fracture network is further investigated through numerical simulation and the positive effect of rock brittleness is indirectly verified. It is found that hydraulic fractures are preferable to propagate in brittle minerals, i.e. the hydraulic fractures always choose the brittle minerals as the favorite path to propagate or choose a thin or weak part of ductile minerals to penetrate and is blocked by the ductile minerals. Moreover, the hydraulic fractures generated in the brittle shale are tortuous and appear with multi branches, which is much beneficial to form hydraulic fracture network in contrast to the smooth hydraulic fracture generated in the ductile shale. This is probably one of the causes of that the required treatment pressure in ductile shale layer is higher than that in brittle shale layer.

[1]  Peng Han,et al.  A novel experimental approach for fracability evaluation in tight-gas reservoirs , 2015 .

[2]  C. Atkinson,et al.  The Brittleness Index in Hydraulic Fracturing , 2015 .

[3]  HanYi Wang,et al.  Numerical modeling of non-planar hydraulic fracture propagation in brittle and ductile rocks using XFEM with cohesive zone method , 2015 .

[4]  Leslie George Tham,et al.  Numerical studies of the influence of microstructure on rock failure in uniaxial compression — Part I: effect of heterogeneity , 2000 .

[5]  M. Biot General Theory of Three‐Dimensional Consolidation , 1941 .

[6]  W. Ding,et al.  Fracture development in Paleozoic shale of Chongqing area (South China). Part one: Fracture characteristics and comparative analysis of main controlling factors , 2013 .

[7]  P. Ranjith,et al.  The brittleness indices used in rock mechanics and their application in shale hydraulic fracturing: A review , 2016 .

[8]  Mian Chen,et al.  Experimental study of brittleness anisotropy of shale in triaxial compression , 2016 .

[9]  D. Jarvie,et al.  Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment , 2007 .

[10]  James M. Bray,et al.  Identification of Production Potential in Unconventional Reservoirs , 2007 .

[11]  R. Altindag Correlation of specific energy with rock brittleness concepts on rock cutting , 2003 .

[12]  Yuanfang Cheng,et al.  Experimental study of microstructure and rock properties of shale samples , 2014 .

[13]  B. Tarasov,et al.  Universal criteria for rock brittleness estimation under triaxial compression , 2013 .

[14]  Cheng Ke-ming,et al.  Suggestions from the development of fractured shale gas in North America , 2007 .

[15]  V. Hucka,et al.  Brittleness determination of rocks by different methods , 1974 .

[16]  Yonghui Wang,et al.  Propagation area evaluation of hydraulic fracture networks in shale gas reservoirs , 2014 .

[17]  Gen Li,et al.  Numerical Simulation of 3D Hydraulic Fracturing Based on an Improved Flow-Stress-Damage Model and a Parallel FEM Technique , 2012, Rock Mechanics and Rock Engineering.

[18]  W. Weibull A Statistical Distribution Function of Wide Applicability , 1951 .

[19]  Boris Tarasov,et al.  Absolute, relative and intrinsic rock brittleness at compression , 2012 .

[20]  Gang Liu,et al.  Brittleness index prediction in shale gas reservoirs based on efficient network models , 2016 .

[21]  Carl H. Sondergeld,et al.  Petrophysical Considerations in Evaluating and Producing Shale Gas Resources , 2010 .

[22]  R. Altindag,et al.  Assessment of some brittleness indexes in rock-drilling efficiency , 2010 .

[23]  S. Kahraman,et al.  Correlation of TBM and drilling machine performances with rock brittleness , 2002 .

[24]  Kegang Ling,et al.  Brittleness investigation of producing units in Three Forks and bakken formations, williston basin , 2016 .

[25]  G. E. Andreev Brittle failure of rock materials : test results and constitutive models , 1995 .

[26]  J. Lemaître,et al.  Engineering Damage Mechanics: Ductile, Creep, Fatigue and Brittle Failures , 2005 .

[27]  V. Rasouli,et al.  Brittleness of gas shale reservoirs: A case study from the north Perth basin, Australia , 2016 .

[28]  R. Rickman,et al.  A Practical Use of Shale Petrophysics for Stimulation Design Optimization: All Shale Plays Are Not Clones of the Barnett Shale , 2008 .

[29]  Yang Tian Coupling analysis of seepage and stresses in rock failure process , 2001 .

[30]  Bo Huang,et al.  The Behaviour of Fracture Growth in Sedimentary Rocks: A Numerical Study Based on Hydraulic Fracturing Processes , 2016 .

[31]  M. Cates,et al.  Elastic properties of solid clays , 1998 .

[32]  Kurt J. Marfurt,et al.  Brittleness Estimation From Seismic Measurements in Unconventional Reservoirs: Application to the Barnett Shale , 2013 .

[33]  Hui Zhou,et al.  Evaluation Methodology of Brittleness of Rock Based on Post-Peak Stress–Strain Curves , 2015, Rock Mechanics and Rock Engineering.

[34]  Fred P. Wang,et al.  Screening Criteria for Shale-Gas Systems , 2009 .

[35]  T. Wong,et al.  Network modeling of the evolution of permeability and dilatancy in compact rock , 1999 .

[36]  Bo Zhang,et al.  Fracability Evaluation in Shale Reservoirs - An Integrated Petrophysics and Geomechanics Approach , 2014 .

[37]  Wancheng Zhu,et al.  Effects of local rock heterogeneities on the hydromechanics of fractured rocks using a digital-image-based technique , 2006 .

[38]  X. Y. Li,et al.  A New Method to Evaluate Rock Mass Brittleness Based on Stress–Strain Curves of Class I , 2017, Rock Mechanics and Rock Engineering.