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$Drilling-induced tensile wall-fractures - Stanford University$

they can exert significant effects on fluid flow at scales relevant to the management of both groundwater and hydrocarbon resources (Matthai et al., 1998; Sternlof et al., 2006). However, detecting the presence of CBs in the subsurface, let alone gathering the requisite geometrical data with which to assess their aggregate hydraulic impacts, presents a challenge. As small-scale structures, CBs are all but invisible to current seismic and borehole geophysical imaging techniques, while the coherent nature of the deformation they accommodate makes them difficult to see in both core and borehole televiewer logs. Even given limited information on CB occurrence, orientation and spacing derived from sparse borehole data, knowledge of the greater, interconnected geometry of any subsurface array is essential to accurate modeling of its effects on fluid flow at production/injection scales (Sternlof et al., 2004; 2006). Geostatistical methods are commonly used for such spatial extrapolations and interpolations of data, although the results are only as good as the training models used to calibrate them. For robust predictions of subsurface CB geometry—or the geometry of any structure—we advocate projections based on a fundamental mechanical understanding of how individual bands propagate and interact to form a through-going array. This paper expands on the anticrack-inclusion model for compaction bands as proposed by Sternlof et al. (2005) and based on detailed observations of abundant CBs cropping out in the Aztec sandstone of southeastern Nevada (Figure 4.1). Specifically, we examine the linear elastic anticrack approximation for CB mechanics using the displacement discontinuity boundary element method (BEM) to simulate 2-D propagation and interaction. We then compare the simulation results to diagnostic patterns observed in Aztec outcrop. This effort is iterative, insofar as observations of CBs in the Aztec inspired the anticrack-inclusion model and now comprise the standard against which it can be tested and improved, while insights gleaned from the modeling effort suggest new perspectives for refined observations. Ultimately, we conclude that the anticrack model provides a valid first approximation for conceptualizing CBs, predicting their dominant orientation symmetric to the maximum remote compressive stress, and simulating their patterns of propagation and interaction. We also find that, as with opening-mode cracks (e.g. Cruikshank et al., 1991; Olson and Pollard, 1989; Thomas and Pollard, 1993), the degree to which adjacent CBs 86
NV UT CA AZ Park Road Map Detail Park Boundary Park Office Route 169 0 km 5 NEVADA ARIZONA 10 km Valley of Fire State Park N LAKE MEAD 115 o 30' Figure 4.1. Location of the Valley of Fire State Park approximately 60 km NE of Las Vegas, Nevada, where the 1,400-m-thick æolian Aztec Sandtone is extensively exposed. Figure 4.2. Typical outcrop exposure of a sub-parallel compaction band array in the Aztec sandstone. Individual bands weather out in positive relief to form distinctive fins that are generally at high angle to depositional bedding. The bands in this photo are of the dominant, through-going set, which trends NNW and dips steeply E (photo looking N). 87 36 o 15'
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STRUCTURAL GEOLOGY, PROPAGATION MEC
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Abstract Low-porosity, low-permeabi
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delivered with fortitude, humor, su
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Chapter 3—Energy-release model of
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List of Illustrations Figure A. Cov
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Figure A. Cover photo that accompan
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likely present in subsurface sandst
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hooking-tip interactions—using th
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and sandstone, my co-authors—Moha
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the hard data from which accurate p
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Although the Aztec sandstone experi
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Waterpocket Fault 36 o 26‘ N 0 1
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Cenozoic Mesozoic Paleozoic Quatern
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3.3. Deformation The Aztec also has
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There also are relatively high-angl
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(e) (f) (c) 500µm compaction band
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dihedral angle of 80° or more, and
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5. Compaction band orientations Ori
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n = 20 M n = 20 P n = 22 B n = 20 R
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were encountered, giving the dihedr
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Eichhubl et al., 2004) did not lend
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P (a) (c) S P S Figure 1.10. Stereo
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possible, and use these to better c
Page 48 and 49: 1.5(ρgz) (b) WEST Willow Tank Uppe
Page 50 and 51: 9. Acknowledgements My sincere than
Page 52 and 53: The term compaction band (CB) was c
Page 54 and 55: Pollard, 2002). The particular util
Page 56 and 57: Hue-based image analysis using MATL
Page 58 and 59: a direct genetic relationship (Hill
Page 60 and 61: Compaction band fin Depositional be
Page 62 and 63: suggests—that to first approximat
Page 64 and 65: Porosity Porosity 0.3 0.25 0.2 0.15
Page 66 and 67: pore-clogging clay—due presumably
Page 68 and 69: 500 µm Figure 2.9. Electron backsc
Page 70 and 71: (a) (b) σ 3 σ 1 x 3 x 1 x 1 (c) u
Page 72 and 73: 6. Elastic properties Despite a lon
Page 74 and 75: Comparison of the two approaches es
Page 76 and 77: term in (6a) and (6c) begins to dom
Page 78 and 79: MPa MPa 80 70 60 50 40 30 20 10 0 0
Page 80 and 81: 2002) and use a BEM approach (Crouc
Page 82 and 83: MPa 10 4 10 3 10 2 10 1 10 −5 10
Page 84 and 85: concentration of quartz plasticity
Page 86 and 87: conducted on well-cemented sandston
Page 88 and 89: ~ 62 m compaction band trend 500µm
Page 90 and 91: Sternlof et al. (2005) have suggest
Page 92 and 93: 2005). It consists of a long (infin
Page 94 and 95: ⎡ ∆ ⎤ ⎧ p 1 ∆ ⎛ M ⎞
Page 96 and 97: which point the inelastic strain ha
Page 100 and 101: interact is inversely proportional
Page 102 and 103: (a) (b) (c) (d) Figure 4.3. Typical
Page 104 and 105: Viewed individually, CB traces tend
Page 106 and 107: (a) (b) (c) (d) (e) (f) Figure 4.7.
Page 108 and 109: 1973; Mardon, 1988; Peck et al., 19
Page 110 and 111: undamaged host rock. That CBs canno
Page 112 and 113: 0.5 0.4 0.3 0.2 0.1 0.5 0.4 0.3 0.2
Page 114 and 115: Normalized stress magnitude 3 2.5 2
Page 116 and 117: helps to explain why the oblique ap
Page 118 and 119: and ts = G·ds + H·dn (2) where tn
Page 120 and 121: plastic compaction, as suggested by
Page 122 and 123: To determine the sensitivity of pro
Page 124 and 125: segments will self-correct to provi
Page 126 and 127: 6.3. Approaching tip interactions A
Page 128 and 129: 0.2 0.15 0.1 0.05 0 −0.05 −0.1
Page 130 and 131: 0.2 0.15 0.1 0.05 0 −0.05 −0.1
Page 132 and 133: the hooking patterns commonly obser
Page 134 and 135: (a) (b) (c) σ1 compaction band max
Page 136 and 137: σ 3 σ 2 σ 1 Figure 4.24. Schemat
Page 138 and 139: NV UT CA AZ Park Road Map Detail Pa
Page 140 and 141: compaction band Figure 5.2. Typical
Page 142 and 143: 3. Computational method The methodo
Page 144 and 145: compaction band A 5 mm A‘ compact
Page 146 and 147: 4. Application to the Aztec sandsto
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Permeability (mD) 10 4 10 3 10 2 10
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B‘ A‘ A c f m c m c f c f c f c
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equivalent of the Aztec sandstone,
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effective permeability represents a
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NV UT CA AZ Park Road Map Detail Pa
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Commonly from ~1 mm to ~1.5 cm in t
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Although systematic arrays of DBs p
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to 2 m, with both sets in a cross-h
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y identical blocks all subject to t
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contiguous areas. This type of char
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(0,b) n 3 (0,0) f 2 n 2 n 1 (a,0) (
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6.1. Parallel Effective permeabilit
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By contrast, band-parallel effectiv
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Relative Effective Permeability 1.0
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(a) (b) (c) 0 meters 3 = 10-2 kb /k
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Though grossly systematic, anastomo
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168
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100 meters 5 meters NV UT CA AZ Par
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compaction band trend 500µm Figure
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Cover Outcrop Band N 100 meters 20
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(CBs) and the matrix rock in all si
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The finite volume discretization fo
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isotropic) can lead to numerical di
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5. Simulations Three sets of 2-D si
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Normalized ∆P ∆P ratio (n/p) 4.
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P P P P I I P P Case 1 P P Case 2 I
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Case 1 Case 1 Case 1 (a) (b) (c) In
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5.2.2. Discussion The elliptical pa
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5.3.1. Results With the regional gr
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(a) (b) Leak 200 meters Regional gr
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anticipated sustainable pumping rat
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Finally, there is the issue of fore
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200
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Bakke, S., and Øren, P. E., 1997,
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Carpenter, D. G., and Carpenter, J.
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Eichhubl, P., Taylor, W. L., Pollar
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Karimi-Fard, M., Durlofsky, L. J.,
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-, 1987, Fracture from a straight c
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Shipton, Z. K., and Cowie, P. A., 2
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Wong, T. F., David, C., and Zhu, W.
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