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Lacunarity analysis of fracture networks: Evidence for scale-dependent clustering

机译:裂缝网络的缝隙分析:尺度依赖的聚类证据

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摘要

Previous studies on fracture networks have shown that fractures contained within distinct mechanical units ("stratabound") are regularly spaced while those that terminate within the rock mass are clustered ("non-stratabound"). Lacunarity is a parameter which can quantify the distribution of spaces between rock fractures. When normalized to account for differences in fracture abundance, lacunarity characterizes the distribution of spaces as the degree of clustering in the fracture network. Normalized lacunarity curves, L*(r), computed using the gliding-box algorithm and plotted as a function of box-size, r, were constructed for natural fracture patterns from Telpyn Point, Wales and the Hornelen basin, Norway. The results from analysis of the Telpyn Point fractures indicate that such curves are sensitive to differences in the clustering of different fracture sets at the same scale. For fracture networks mapped at different scales from the Hornelen basin, our analysis shows that clustering increases with decreasing spatial scale. This trend is attributed to the transition from a "stratabound" system at the scale of sedimentary cycles (100-200 m) that act as distinct mechanical units to a "non-stratabound" fracture system geometry at the finer 10's of meters thick bedding scale.
机译:先前对裂缝网络的研究表明,包含在不同机械单元(“分层约束”)中的裂缝是规则排列的,而那些终止在岩体中的裂缝则是聚集的(“非分层约束”)。腔隙度是可以量化岩石裂缝之间的空间分布的参数。当归一化以解决裂缝丰度的差异时,腔隙性将空间分布表征为裂缝网络中的聚集度。针对来自威尔士的特尔皮恩点和挪威的霍内伦盆地的天然裂缝模式,建立了使用滑行盒算法计算并绘制为盒大小r的函数的归一化的薄弱曲线L *(r)。对Telpyn点裂缝的分析结果表明,这些曲线对相同尺度下不同裂缝组的聚类差异敏感。对于来自Hornelen盆地的不同比例的裂缝网络,我们的分析表明,聚类随着空间比例的减小而增加。这种趋势归因于从沉积循环(100-200 m)尺度上的“分层约束”系统转变为具有不同机械单元的沉积层,而在更细的10米厚的层理尺度上,该结构转变为“非分层约束”的裂缝系统几何形状。 。

著录项

  • 来源
    《Journal of structural geology》 |2010年第10期|p.1444-1449|共6页
  • 作者单位

    Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996-1410, USA;

    Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996-1410, USA;

    Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996-1410, USA;

    School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK;

    USDA-ARS Environmental Microbial Safety Laboratory, 173 Powder Mill Road, BARC-EAST, Beltsville, MD 20705, USA,Korea Atomic Energy Research Institute, Radioactive Waste Technololgy Development Division,1045 Daedeok-daero Yuseong-gu Daejeon, 305-353, Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fractures; joints; lacunarity; clustering; cliding-box algorithm;

    机译:骨折;关节虚伪集群信箱算法;

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