CODE FEATURESGraphical interface
GeRa provides a unified graphical environment for carring out a full cycle of modeling: from creating a model and loading data to visualizing the results of calculations. There is an intuitive panel "Creation new model wizard" to simplify model creation and further work with it, which is designed to guide the user step by step through the process of creating a model.
Multivariant user data uploading
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In the GeRa code, various types of data can be loaded for the convenience of creating a geological model. To import maps it is possible to load data in JPG, BMP, PNG and TIFF formats, or to use already built contours in MapInfo (.mif) or AutoCAD (.dxf) formats; it is also possible to load field data to set various features of the model - layer surfaces, heterogeneities, etc.
Geological model creation
To create a geological model in GeRa, a geostatistics module is used, which implements various methods for constructing layers:
- setting the plane;
- triangulation;
- reverse distances;
- kriging;
- nearest neighbor.
Selection of variograms and its control are available.
Phisycal processes
Nowaday, the following physical processes can be simulated in the GeRa code:
![](data:image/png;base64,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)
- steady and unsteady groundwater flow in confined and confined-unconfined conditions;
- saturated-unsaturated groundwater flow;
- unsteady advective-dispersive-diffusion mass transport with the ability to take into account chemical interactions in the water-rock system and radioactive decay with accounting decay chains;
- density convection;
- groundwater flow and mass transport in dual porosity media (GeRa/V2);
- thermal processes: heat release during radioactive decay, heat convection (GeRa/V2);
- two-phase water-gas flow (GeRa/V2);
- surface runoff in coupling with groundwater flow (GeRa/V2).
Chemical reactions
GeRa provides the ability of calculating the transport of solutes taking into account the interactions occurring in an aqueous solution (the activity is calculated using the Davis equation), as well as the calculating sorption within the linear sorption model, a model in which the sorption coefficient functionally depends on the concentration of any component of the solution, ion exchange model and model of non-electrostatic complexation on the surface of host rock phases. The software implementation is based on using of the IPhreeqc libraries (https://www.usgs.gov/software/phreeqc-version-3).
Mesh Generators
There are two mesh generators in the GeRa code:
- triangular-prismatic mesh generator;
- hexahedral mesh generator.
The storage of grid data in the GeRa code is carried out using the INMOST software platform (http://inmost.org). This platform allows to perform parallel calculations, providing synchronization of grid data, assembly and solution of linear systems.
Examples of meshes for real objects
Discretization
For spatial discretization of the diffusion operator in the GeRa code, it is possible to use one of three numerical schemes of the finite volume method (FVM): a classical two-point scheme, a multipoint O-scheme, or a nonlinear monotonic two-point scheme. To solve the transport problems, the following numerical schemes are implemented:
- explicit convection - implicit diffusion within the scheme of splitting by physical processes;
- completely implicit nonlinear monotonic scheme FVM;
- completely implicit scheme with piecewise constant flow approximation.
Linear systems solving
Systems of linear equations arising from discretization in GeRa code are also solved using the INMOST platform. This platform allows to use both embedded software and other libraries such as PETSc (https://petsc.org). The platform also provides the ability to use massive parallel computing.
Verification and visualization
GeRa graphical interface has the ability to visualize the results of calculations, as well as check the calculation results and analyze it.
Verification of the created model can be carried out according to monitoring data, but in case if monitoring points were loaded into the model before the calculation start. The GeRa code provides the possibility of numerical verification of the model (calculation of the variance, mean absolute error and root mean square of the error (RMS) separately for each well and for all wells at once) and visual verification of the model (diagonal scatter plot of field monitoring data and calculation data, histogram of the frequency of occurrence of the difference between monitoring and calculated data, visualization of numerical values for wells in the plane of the model).
Visualization of calculations can be made in the plane of the model and in cross-section (isolines of groundwater heads / pollutants halos in model layers, numerical values of the model data and monitoring data in the wells in the plane of the model, the magnitude of the deviation between the calculation and monitoring data for the wells), and in the form of curves for the wells (dynamics of groundwater heads / specific activity of pollutants versus time).
GeRa also has a balance module that allows to display balance characteristics for groundwater flow and mass transfer both for areas, model layers and zones of heterogeneities, and for individual elements of the model - rivers, lakes, etc. Fluxes are displayed for boundary conditions (both separate advective and diffusion fluxes, and the total fluxes), saturation, total content of the components, etc.
Full cycle of NRNF modeling
It is possible to carry out a full cycle of modeling of nuclear radiation-hazardous objects (NRHF) in the GeRa code: from the pollution source (near field model) to the places of groundwater discharge (far field model) and doses calculations on the population. In the near field, it is possible to take into account the degradation of engineering safety barriers, which is possible with a recharge increasing, a decreasing of the sorption coefficients of the barriers in relation to the considered radionuclides, and an increasing of the hydraulic conductivity of the barriers. It is possible to calculate doses on the population under various scenarios of water using (external and internal exposure) with the GeRa-Aqua module. The calculation is made for six age groups.
An example of visualization of calculation results and construction of isolines of a solution
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