Digitally assisted microwave multiphase flow meter

A computer-implemented system comprising:

• memory storing application programming interface (API) information;
• and
• a server performing operations comprising:
• generating a digital twin replicating non-linear and non-monotonic dielectric properties of a multiphase mixture flowing through a pipe, the digital twin comprising a finite element method based electromagnetic model accounting for variations in temperature and a salinity level of the multiphase mixture, the multiphase mixture comprising oil, water, and gas;
• receiving, by one or more processors from a sensor system, calibration data and validation data;
• calibrating, by the one or more processors, the digital twin using the calibration data to generate a calibrated digital twin with adjusted parameters for the salinity level of the multiphase mixture;
• validating, by the one or more processors, the calibrated digital twin, using the validation data to generate a validated digital twin;
• receiving, by the one or more processors from the sensor system, flow measurements of the multiphase mixture;
• estimating, by the one or more processors, a composition of the multiphase mixture flowing through the pipe by processing the flow measurements using the validated digital twin;
• and
• triggering, by the one or more processors, an adjustment of a setting of an industrial equipment based on the composition of the multiphase mixture.

A non-transitory computer-readable media encoded with a computer program, the computer program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• generating a digital twin replicating non-linear and non-monotonic dielectric properties of a multiphase mixture flowing through a pipe, the digital twin comprising a finite element method based electromagnetic model accounting for variations in temperature and a salinity level of the multiphase mixture, the multiphase mixture comprising oil, water, and gas;
• receiving, by one or more processors from a sensor system, calibration data and validation data;
• calibrating, by the one or more processors, the digital twin using the calibration data to generate a calibrated digital twin with adjusted parameters for the salinity level of the multiphase mixture;
• validating, by the one or more processors, the calibrated digital twin, using the validation data to generate a validated digital twin;
• receiving, by the one or more processors from the sensor system, flow measurements of the multiphase mixture;
• estimating, by the one or more processors, a composition of the multiphase mixture flowing through the pipe by processing the flow measurements using the validated digital twin;
• and
• triggering, by the one or more processors, an adjustment of a setting of an industrial equipment based on the composition of the multiphase mixture.