CPC G01N 15/082 (2013.01) [G01N 33/24 (2013.01); G06F 30/27 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01)] | 13 Claims |
7. An apparatus for in-situ estimation and dynamic visualization of a plurality of characteristics of a porous medium, the apparatus comprising:
an input source for inputting data from computer-aided simulations and real-time core flooding experiments;
an embedded hardware unit comprising of a processor running a prediction model with inferences of porous medium samples, and
a human-machine interface comprising a display unit for displaying the estimated plurality of characteristics of the porous medium and an input unit for accepting commands from a user;
wherein the input source is in real-time communication with the embedded hardware unit and the display unit and the apparatus reduces a total analysis time taken for characterizing the porous medium, and accelerates characterizing two-phase flow analysis of the porous medium; and
wherein the estimated plurality of characteristics of the porous medium is based on a Machine Learning (ML) inferences trained based on real-time offline simulations running on the embedded hardware unit.
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