Abstract: There is provided a method and apparatus for accelerated in-situ prediction and dynamic visualization of characteristics of a porous medium, including 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. 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. Further, the porous medium is a rock sample and the plurality of properties of the porous medium comprises the relative permeability (Kr) and capillary pressure (Pc) characteristics of the porous medium.

Abstract: There is provided a method and apparatus for accelerated in-situ prediction and dynamic visualization of characteristics of a porous medium, including 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. 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. Further, the porous medium is a rock sample and the plurality of properties of the porous medium comprises the relative permeability (Kr) and capillary pressure (Pc) characteristics of the porous medium.