Patent ID: 11913865
Assignee: KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. An in-situ method of estimating a plurality of porous medium properties, the method comprising the steps of:
obtaining data from real-time core flooding experiments being conducted on a porous medium;
sending the obtained data to an embedded hardware unit running a machine learning prediction model;
using the machine learning prediction model along with the obtained data for estimating and displaying the plurality of porous medium properties on a display unit;
wherein the in-situ method 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 machine learning prediction model is run as an inference on the embedded hardware and is executed in real-time.