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in this repository, we go through step per step methodology for sensitivity analysis and design of experiment, post processing simulation result and build ANN to predict the result

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ML-NN-LBM

Build ANN to predict permeability changes

In this repository, we go through different steps to build Artificial Neural Network (ANN) which could predict reduction in permeability as a result of injecting polymer gel in a fraction of a second. The dataset for this ANN in generated from numerical simulations, which codes for these simulations are available on https://github.com/kamelelahe/NN-LBM

To take a brife look, different steps for this reasearch are shown in below figure. allSteps

up to the goal of this reasearch, some steps such as post processing, sensitivoty analysis and also building ANN are done with python. this repository contains all of python code in seperate folders. in each foler the readme.md file explains the code and also some details about different parts of the code are written within the file.

Publications

1- Lattice Boltzmann Simulation of Cross-linked Polymer Gel Injection in Porous Media (submitted to “journal of computer and mathematics with applications”, under review)
2- Design of Artificial Neural Network for Predicting the Reduction in Permeability of Porous Media as a Result of Polymer Gel Injection (submitted to “journal of petroleum science and engineering”, under review)

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in this repository, we go through step per step methodology for sensitivity analysis and design of experiment, post processing simulation result and build ANN to predict the result

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