Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 31 n° 321

Modeling Advective Spreading in Heterogeneous Subsurface Flows with Velocity Random Walks

Posted by fidest press agency su lunedì, 18 dicembre 2017

Roma Lunedì 18 Dicembre 2017, ore 11:00 Dipartimento di Ingegneria – Sezione di Ingegneria Civile, Aula Seminari Via Vito Volterra 62 il dr. David W. Meyer (ETH Zurich) terrà un seminario dal titolo: Modeling Advective Spreading in Heterogeneous Subsurface Flows with Velocity Random Walks.
Subsurface flow and transport is strongly influenced by advective spreading resulting from spatial flow field variability. The latter is induced by conductivity field heterogeneity. To quantify this type of dispersion, which is referred to as macrodispersion [1], Monte Carlo (MC) simulation could be applied. Here, flow and transport statistics are sampled based on different probable conductivity fields. MC sampling is generally applicable but computationally expensive. In this work, we present inexpensive particle]based random walks (RWs) that attempt to model the Lagrangian velocity process along fluid particle paths. The basis of these RWs are velocity transition statistics that can be gathered from idealized MC simulations. Our first efforts [2,3] were based on a parametrization of such MC data, leading to models that are very accurate but at the same time rather cumbersome. More recently, we have derived a RW model by means of analytical transition statistics obtained from classical first]order perturbation theory [4]. This theory is applicable for mildly heterogeneous formations [5]. The resulting model is comprised of a compact analytical formulation and leads to dispersion predictions that are in good agreement with results from perturbation theory. Currently, we are working on an extension of the model for highly heterogeneous formations.


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