Laserfiche WebLink
JD-8 Mine Report <br />Geoscience Services <br />3.0 PORFLOW Code <br />The PORFLOW code (ACRi 2000) was selected to perform the proposed fluid <br />and contaminant transport simulations based on the following criteria: <br />• Application to the multiphase contaminant transport problem at mining operation <br />• Model validation <br />• A history of applications similar to the model simulations to be performed at similar <br />facilities. <br />PORFLOW is a comprehensive mathematical model used for the simulation of <br />multi-phase fluid flow, heat transfer, and mass transport processes invariably saturated <br />porous and fractured media. The code can simulate transient or steady-state problems in <br />• one, two, or three dimensions using either Cartesian or cylindrical geometry. The <br />~ geologic medium may be anisotropic and heterogeneous and may contain distinct <br /> embedded elements such as discrete fractures or boreholes within a porous matrix. In <br />~ partially saturated zones, liquids and gases are assumed to co-exist. The degree of <br /> saturation of each phase is determined at each grid node as part of the solution. The <br /> <br /> dependent vaziable, or its change from the current state, approximates the flux terms. <br />• Finally, several options are provided for the incorporation of sources or sinks of fluid, <br />~ heat, or mass. Fluid injection or withdrawal, sources or sinks of heat, or chemical species <br />a• may occur anywhere in the interior of the domain of interests. For chemical species, the <br />~ sources can be limited by their inventory, solubility, or both. <br /> <br />~ PORFLOW numerically solves a variable set of equations for general transport, <br /> multi-phase pressure, temperature, and one or more chemical species. The method of <br /> nodal point integration is used to integrate the governing differential equations by <br /> <br /> temporal and spafial discretization over each control volume (element) of the physical <br /> domain. It leads to solutions that automatically conserve fluid, heat, and mass locally <br /> within every grid element, as well as for the entire flow domain. The storage terms are <br />~ approximated by a modified Newton-Raphson method (ACRi, 2000). <br /> <br /> <br /> 5 <br /> <br /> <br />