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GeorgyBorisochev/PNM-Generator-and-Solver
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PNMSolve 0.5 Georgy Borisochev, 2022 Geoenergy Research Group, Heriot-Watt University Integrated software for generating running pore network models based on bulk rock pore characterisation data. Main features include: - generation of completely randomised PNM based on a variety of inputs provided by experimental data - inclusion of real gas effects(Song, 2018) and gas adsorption Instructions for use: - Software allows to change input parameters and re-run the model without closing the program. Simply adjust and save the SETUP.csv and press Enter when prompted - All input is provided in SETUP.csv, make sure it stays in the same folder as the .exe file - easiest is to open .csv in Excel and ignore "Do you want to keep using that format?" prompt to make sure there are no delimiter issues when reading inputs - there is little Error feedback at the moment. If software crashes unexpectedly, it is advised to revert SETUP.csv to its original state as distributed Current input variables: GENERATOR SETTINGS UNIT EXAMPLE NOTES //settings used for generating the model, they both affect the geometry and resulting flow properties PSD_diameter nm 62.97865132 //pore diameter values from pore size distribution, in nanometers PSD_specific_porosity % 0.006948682 //respective specific porosity values. Currently only porosity is supported, bu tin the future selecting Incremental Pre Volume will be available too Domain_size nm 100 //side length of the model cubic domain, in nanometres. Software performs as O(n^3) based on size. Currently algorithm is developed to make generation of 1000nm models accessible, //standing at around 15 minute generation time. Generating larger models is not advised at the moment. Coordination 2.51 //Z = 2*n_throats/n_pores Anisotropy 1 //anisotropy parameter between 0 (cannot be equal to 0!) and 1. Lower value means preferred troat connection in XY-plane, simulating mudrock bedding SOLVER SETTINGS UNIT NOTES //settings for running the model, only affect the flow proprties Pressure_in Pa 1.00E+06 //upstream pressure, in Pascals Pressure_drop Pa 10000 //pressure drop across the model Temperature K 400 //absolute model temperature, in Kelvin ADVANSED SETUP UNIT NOTES //additional setup Boundary frac 0.05 //parameter for labelling boundary pores when network is generated. To be changed with care Seed 100 //seed for network generation. Input any positive integer to create different model. Using same seed will result in same results, useful for tracjing effects of a single variable Linear_iterations 2 //positive integer, number of linear iterations to be run. Properties are regenerated between iterations, higher value leads to better convergence Compilation notes and required libs: - Using x64 - Boost, https://www.boost.org/users/history/version_1_78_0.html - MTL4, installed as a part of boost package, https://github.com/simunova/mtl4 - Intel OneAPI MKL, additional dependencies: (mkl_intel_lp64.lib mkl_sequential.lib mkl_core.lib), https://www.intel.com/content/www/us/en/developer/tools/oneapi/toolkits.html#base-kit
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An algorithm for pore network model generation and calculation of effective permeability
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