Microseismic Monitoring and Geomechanical Modelling of CO2 - bris
Microseismic Monitoring and Geomechanical Modelling of CO2 - bris
Microseismic Monitoring and Geomechanical Modelling of CO2 - bris
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CHAPTER 6.<br />
GENERATING ANISOTROPIC SEISMIC MODELS BASED ON GEOMECHANICAL SIMULATION<br />
where<br />
D = (S r 11 + α 11 + β 1111 )(S r 23 + β 2233 ) 2 + (S r 22 + α 22 + β 2222 )(S r 13 + β 1133 ) 2<br />
+(S r 33 + α 33 + β 3333 )(S r 12 + β 1122 ) 2 − 2(S r 12 + β 1122 )(S r 13 + β 1133 )(S r 23 + β 2233 )<br />
−(S r 11 + α 11 + β 1111 )(S r 22 + α 22 + β 2222 )(S r 33 + α 33 + β 3333 ). (6.12)<br />
Based on previous work by Gueguen <strong>and</strong> Schubnel (2003), Hall et al. (2008) introduce an anisotropic<br />
normalising factor h i , where<br />
h i = 3E i(2 − ν i )<br />
32(1 − ν 2 i ) . (6.13)<br />
When α is multiplied by this factor, a non-dimensional discontinuity density tensor is returned, which<br />
is a function only <strong>of</strong> discontinuity number density, radius cubed, <strong>and</strong> orientation distribution,<br />
3∑<br />
h i α ii = ξ c , (6.14)<br />
i=1<br />
where ξ c = N V r3 . N is the number <strong>of</strong> discontinuities in a volume V , <strong>and</strong> ξ c is equivalent to the<br />
non-dimensional crack density term used in many effective medium theories, such as Hudson (1981),<br />
Hudson et al. (1996), <strong>and</strong> Thomsen (1995).<br />
6.3.2 Inversion for scalar cracks<br />
From equation 6.10, we can express the ratio<br />
B N /B T = (1 − ν i /2). (6.15)<br />
Sayers <strong>and</strong> Kachanov (1995) define the scalar crack as B N /B T ≈ 1 to simplify various expressions<br />
<strong>and</strong> make elasticity estimates more treatable. In making this simplification, they assume a rock with<br />
low Poisson’s ratio (ν o < 0.2), where β will be at least an order <strong>of</strong> magnitude smaller than α, <strong>and</strong> so<br />
can be neglected. In this limit any crack set can be described by considering its contribution to the 3<br />
orthogonal components <strong>of</strong> the 2nd order tensor, α 11 , α 22 , <strong>and</strong> α 33 . For instance, a r<strong>and</strong>om isotropic<br />
distribution can be described by α 11 = α 22 = α 33 , <strong>and</strong> transverse symmetry by α 11 > α 22 = α 33 .<br />
Later in this chapter I will discuss the effects <strong>of</strong> including β in the inversion procedure.<br />
Hall et al. (2008) develop an inversion procedure to determine α based on observed velocity measurements,<br />
assuming β = 0. Equations 6.11 <strong>and</strong> 6.12 are used to relate the observed stiffness tensor<br />
as determined from velocity measurements to the background stiffness <strong>and</strong> α. An iterative Newton-<br />
Raphson approach is used, where a Jacobian matrix describes the variation <strong>of</strong> the modelled stiffness<br />
tensor with α. It is assumed that the velocity measurements are aligned with the principle axes <strong>of</strong> α.<br />
Figure 6.2 shows the results <strong>of</strong> this inversion procedure for several samples from the Clair reservoir,<br />
a s<strong>and</strong>stone reservoir sited on the UK continental shelf. The cores have been taken from depths <strong>of</strong><br />
1784, 1788, 1909, 1950, <strong>and</strong> 2194 meters. The individual samples will be referred to by their depths<br />
hereafter. The background compliances were determined using the geomathematical method described<br />
by Kendall et al. (2007). XRTG (X-Ray Texture Goniometry) <strong>and</strong> EBSD (Electron Back Scattering<br />
110