A multi-phasic approach for estimating the Biot coefficient for Grimsel granite

Selvadurai, A. P. S.; Selvadurai, Paul Antony; Nejati, Morteza

doi:10.5194/se-10-2001-2019

Cited by 18 publications

(10 citation statements)

References 77 publications

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“…The use of multi-phasic approaches, based on the mineralogical composition of the rock, to estimate the Biot coefficient of low permeability rocks, such as the Cobourg limestone, was proposed by Selvadurai [33]. This methodology was also successfully applied to estimate the Biot coefficient for Grimsel granite, which also has a low permeability and a transversely isotropic elastic fabric (Selvadurai et al [43]). A review of the experimental methodologies for estimating the Biot coefficient for rocks and references to other investigations are presented by Kasani and Selvadurai [44].…”

Section: The Biot Coefficientmentioning

confidence: 99%

On the Poroelastic Biot Coefficient for a Granitic Rock

Selvadurai

2021

Geosciences

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The Biot coefficient is a parameter that is encountered in the theory of classical poroelasticity, dealing with the mechanics of a fluid-saturated porous medium with elastic grains and an elastic skeletal structure. In particular, the coefficient plays an important role in the partitioning of externally applied stresses between the pore fluid and the porous skeleton. The conventional approach for estimating the Biot coefficient relies on the mechanical testing of the poroelastic solid, in both a completely dry and a fully saturated state. The former type of tests to determine the skeletal compressibility of the rock can be performed quite conveniently. The latter tests, which determine the compressibility of the solid material constituting the porous skeleton, involve the mechanical testing of the fully saturated rock. These tests are challenging when the rock has a low permeability, since any unsaturated regions of the rock can influence the interpretation of the compressibility of the solid phase composing the porous rock. An alternative approach to the estimation of the solid grain compressibility considers the application of the multi-phasic theories for the elasticity of composite materials, to estimate the solid grain compressibility. This approach requires the accurate determination of the mineralogical composition of the rock using XRD, and the estimation of the elasticity characteristics of the minerals by appealing to published literature. This procedure is used to estimate the Biot coefficient for the Lac du Bonnet granite obtained from the western region of the Canadian Shield.

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Section: The Biot Coefficientmentioning

confidence: 99%

On the Poroelastic Biot Coefficient for a Granitic Rock

Selvadurai

2021

Geosciences

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“…If the Biot coefficient is known from experimental data 10 , 43 , 44 , 50 , 51 , 78 , 79 , the fraction of open interfaces can be estimated from ( 11 ) as …”

Section: Numerical Results For Deformability Behaviourmentioning

confidence: 99%

Poroelastic properties of rocks with a comparison of theoretical estimates and typical experimental results

Selvadurai

Suvorov

2022

Sci Rep

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“…where α is between 0.64 and 0.71 and K = 19 GPa (Selvadurai et al, 2019). Detournay and Cheng (1988) provide a pore-pressure solution induced by the pressurization of an infinite vertical cylinder.…”

Section: Methodsmentioning

confidence: 99%

“…Volumetric strain is then calculated from the mean stress change and the known Young's modulus K for the rock mass. Then,

Δ p = α σ_{m},

σ_{m} = K ϵ_{vol},

where α is between 0.64 and 0.71 and K = 19 GPa (Selvadurai et al., 2019).…”

Section: Methodsmentioning

confidence: 99%

Poroelasticity Contributes to Hydraulic‐Stimulation Induced Pressure Changes

Dutler

Valley

Amann

et al. 2021

Geophysical Research Letters

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High‐pressure fluid injections cause transient pore pressure changes over large distances, which may induce seismicity. The zone of influence for such an injection was studied at high spatial resolutions in six decameter‐scaled fluid injection experiments in crystalline rock. Pore pressure time series revealed two distinct responses based on the lag time and magnitude of pressure change, namely, a near‐ and far‐field response. The near‐field response is due to pressure diffusion. In the far‐field, the fast response time and decay of pressure changes are produced by effective stress changes in the anisotropic stress field. Our experiments confirm that fracture fluid pressure perturbations around the injection point are not limited to the near field and can extend beyond the pressurized zone.

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A multi-phasic approach for estimating the Biot coefficient for Grimsel granite

Cited by 18 publications

References 77 publications

On the Poroelastic Biot Coefficient for a Granitic Rock

On the Poroelastic Biot Coefficient for a Granitic Rock

Poroelastic properties of rocks with a comparison of theoretical estimates and typical experimental results

Poroelasticity Contributes to Hydraulic‐Stimulation Induced Pressure Changes

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