Abordagem da dimensão de escoamento aparente para o estudo do sistemas de rede de fraturas heterogêneas

Channel Network Modeling of Flow and Transport in Fractured Rock at the Äspö HRL: Data‐Worth Analysis for Model Development, Calibration and Prediction

“…More complex tests, such as analyzing the timing of the breakthrough curve in phase C, will not help as much in establishing a suitable connectivity map but are perhaps valuable to identify lesser inconsistencies: for example, one secondary pathway in the model response to test C1/4 that had no equivalent in the real system. Transient flow test responses could be another source of data that could be used to test or constrain the CNM (see e.g., Sharma, Dessirier, et al., 2022; Sharma, Geier, et al., 2022). Evaluating transient flow responses in CNMs requires an estimate of the physical parameters of the channels: aperture and flow‐wetted surface in the same way as the tracer breakthrough analysis (phase C), and would thus be on the side of the more complex tests as well.…”

“…The CNM is sometimes also referred to as pipe network. Flow equations in the CNM are locally one‐dimensional and can be solved analytically in the Laplace domain, and sometimes even in the time domain (Moreno & Neretnieks, 1993; Sharma, Dessirier, et al., 2022; Sharma, Geier, et al., 2022), while transport in the channels and interactions with the rock matrix can be modeled by particle‐tracking methods (Liu et al., 2017; Mahmoudzadeh et al., 2013, 2016; Neretnieks, 2006; Shahkarami et al., 2016), which alleviates the need for a numerical discretization of the domain and allows to focus more directly on the network structure and connectivity to reproduce field data (Dessirier et al., 2018; Li et al., 2014). Some CNM frameworks use full lattices of channels and stereological arguments to infer lattice spacing and flow‐wetted surface from observations along borehole sections (e.g., Gylling et al., 1999).…”