互连性
断裂(地质)
地质学
磁导率
拓扑(电路)
比例(比率)
网络拓扑
计算机科学
岩土工程
工程类
人工智能
生物
操作系统
电气工程
量子力学
物理
遗传学
膜
作者
Rowan Hansberry,Simon Holford,Rosalind King,Natalie Debenham
标识
DOI:10.1080/22020586.2019.12073009
摘要
SummaryPredicting the interconnectivity and permeability of fractures at any scale remains a fundamental challenge in structural geology. Models which predict the likelihood of fracture opening based on their relation to the stress field can be applied at scales of 100s of metres to kilometres. Increasingly however, an understanding of how networks of the smallest-scale (sub-seismic to mm) natural fractures permit fluid flow in the subsurface appears key to predicting and exploiting these pathways. Here, we apply the nascent method of network topology to natural fracture networks to a fossilised fault damage zone in the Otway Basin. Network connectivity and the potential to percolate fluids has been shown to be directly related to the topology, and intensity of fracturing. This technique is relatively straightforward, provides a range of parameters to define various aspects of a fracture network (e.g. intensity, connectivity), and is independent of the scale and geometry of the structures of interest. We integrate this technique with traditional structural analysis to illustrate the scale of fracturing around a region-scale fault and constrain spatial variation in permeability associated with the fracture network. We also illustrate how elements of this technique might be applied to existing sub-surface data.
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