A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="http://doc.rero.ch/record/306662/files/Bonneau_F-Impact_of_a_stochastic_sequential-20180119.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Impact of a stochastic sequential initiation of fractures on the spatial correlations and connectivity of discrete fracture networks
<span title="">2016</span>
<i title="American Geophysical Union (AGU)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zont6id3pjcfrnvyd5wpwl6vrm" style="color: black;">Journal of Geophysical Research - Solid Earth</a>
</i>
Preserved Fulltext
Stochastic discrete fracture networks (DFNs) are classically simulated using stochastic point processes which neglect mechanical interactions between fractures and yield a low spatial correlation in a network. We propose a sequential parent-daughter Poisson point process that organizes fracture objects according to mechanical interactions while honoring statistical characterization data. The hierarchical organization of the resulting DFNs has been investigated in 3-D by computing their
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/2015jb012451">doi:10.1002/2015jb012451</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ai6wrabnzh6tjlrkcpogahgla">fatcat:6ai6wrabnzh6tjlrkcpogahgla</a>
</span>
more »
... on dimension. Sensitivity analysis on the input simulation parameters shows that various degrees of spatial correlation emerge from this process. A large number of realizations have been performed in order to statistically validate the method. The connectivity of these correlated fracture networks has been investigated at several scales and compared to those described in the literature. Our study quantitatively confirms that spatial correlations can affect the percolation threshold and the connectivity at a particular scale. Classical stochastic discrete fracture network simulations consider fractures as simple 2-D objects (rectangles or ellipses) in 3-D space. The position of rock flaws stimulated by the stress field is usually generated either Key Points: • The proposed method accounts for fracture interactions during 3-D discrete fracture implantation • Mechanical interactions affect the emerging fractal dimension of the network • Spatial correlations induced by this method may change the network's percolation threshold
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720183404/http://doc.rero.ch/record/306662/files/Bonneau_F-Impact_of_a_stochastic_sequential-20180119.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/73/11/731168dc459b5ee952c7fe676cd53541df6e42f7.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/2015jb012451">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
Publisher / doi.org
</button>
</a>