Replacement of numerical simulations with machine learning in the inverse problem of two-phase flow in porous medium

Yu A Goncharova, I M Indrupskiy
2019 Journal of Physics, Conference Series  
A possibility to replace full-physics numerical simulations with machine-learningbased algorithms in inverse problems of multiphase flow in porous media is studied on an example of specialized oil-well tests. The performance function is computed at each iteration of the inverse problem solution using an artificial neural network (ANN) instead of forward numerical simulations. Proper ANN structure, training set, and learning algorithm are established and implemented. Achieved approximation
more » ... y for the performance function on a test sample is well suitable for the inverse problem solution. Further improvements and alternative ANN formulations are proposed for practical applications.
doi:10.1088/1742-6596/1391/1/012146 fatcat:dbg7kdnabvepfhgfxtiqzqadny