Loop-Component Index (LCI): A bounded topological metric for quantifying transition from component to loop-dominated fracture networks

IF 3 2区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Journal of Structural Geology Pub Date : 2026-05-01 Epub Date: 2026-02-21 DOI:10.1016/j.jsg.2026.105658
Sivaji Lahiri
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引用次数: 0

Abstract

Topological characterization of fracture networks is essential for understanding their structural organization and large-scale hydraulic behavior. In this study, I introduce the Loop–Component Index (LCI), a bounded and scale-independent metric derived from the Euler number (E = β0 − β1), where β0 represents the number of disconnected components and, β1 denotes the number of enclosed loops. Disconnected components are isolated fracture clusters/fracture-traces with no topological connection to other clusters within the mapped domain, whereas loops are closed polygonal regions formed by intersecting fracture segments. The raw Euler number, however, strongly depends on map size—particularly given the limited availability of large, well-exposed outcrops across different locations—making direct comparison between datasets unreliable. Moreover, ‘E’ can theoretically range from −∞ to +∞ and therefore, unbounded in characteristics. This absence of fixed limits complicates its use in comparative or statistical analyses, especially when compared with other fracture-network descriptors that are typically normalized per unit area or length.
To overcome these limitations, ‘E’ is first normalized by map area and then transformed using a hyperbolic tangent function (tanh f(x)), yielding LCI values constrained between 0 and 1. In this framework, LCI → 0 indicates component-dominated networks with limited interconnection, whereas LCI → 1 reflects loop-dominated systems characterized by abundant interconnections. An intermediate value of LCI = 0.5 marks the critical topological transition (E = 0), where components and loops are balanced.
Analyses of synthetic fracture networks show that LCI effectively captures topology transitions driven by fracture density, trace length, and intersection angle. Percolation consistently occurs at LCI >0.5, and the positive correlation between LCI and equivalent permeability (keq) underscores its effectiveness as a bounded, scale-independent descriptor of fracture-network structural evolution.
环-组分指数(LCI):一种有界拓扑度量,用于量化从组分到环主导裂缝网络的过渡
裂缝网络的拓扑特征对于理解其结构组织和大规模水力行为至关重要。在本研究中,我引入了环路分量指数(LCI),这是一个由欧拉数(E = β0−β1)推导出来的有界且与尺度无关的度量,其中β0表示断开的分量的数量,β1表示封闭环路的数量。断开的组件是孤立的裂缝簇/裂缝轨迹,在映射域内与其他簇没有拓扑连接,而环路是由相交的裂缝段形成的封闭多边形区域。然而,原始欧拉数在很大程度上取决于地图的大小,特别是考虑到不同地点的大型、暴露良好的露头的可用性有限,这使得数据集之间的直接比较不可靠。此外,‘ E ’理论上可以从−∞到+∞,因此在特征上是无界的。由于没有固定的限制,使得其在比较或统计分析中的应用变得复杂,特别是与其他通常按单位面积或长度进行标准化的裂缝网络描述符相比。为了克服这些限制,首先通过映射区域对“E”进行归一化,然后使用双曲正切函数(tanh f(x))进行转换,生成约束在0到1之间的LCI值。在该框架中,LCI→0表示连接有限的组件主导网络,而LCI→1表示连接丰富的环主导系统。LCI = 0.5的中间值标志着关键拓扑转换(E = 0),其中组件和环路是平衡的。对合成裂缝网络的分析表明,LCI可以有效捕获由裂缝密度、迹线长度和相交角驱动的拓扑转换。LCI与当量渗透率(keq)之间的正相关关系强调了其作为裂缝网络结构演化的有界、尺度无关描述符的有效性。
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来源期刊
Journal of Structural Geology
Journal of Structural Geology 地学-地球科学综合
CiteScore
6.00
自引率
19.40%
发文量
192
审稿时长
15.7 weeks
期刊介绍: The Journal of Structural Geology publishes process-oriented investigations about structural geology using appropriate combinations of analog and digital field data, seismic reflection data, satellite-derived data, geometric analysis, kinematic analysis, laboratory experiments, computer visualizations, and analogue or numerical modelling on all scales. Contributions are encouraged to draw perspectives from rheology, rock mechanics, geophysics,metamorphism, sedimentology, petroleum geology, economic geology, geodynamics, planetary geology, tectonics and neotectonics to provide a more powerful understanding of deformation processes and systems. Given the visual nature of the discipline, supplementary materials that portray the data and analysis in 3-D or quasi 3-D manners, including the use of videos, and/or graphical abstracts can significantly strengthen the impact of contributions.
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