Machine Learning Assisted Downhole Multiphase Flowmeter

A non-transitory computer-readable medium comprising instructions executable by a processing system to perform operations to characterize fluid flow in a conduit disposed in a wellbore, the operations comprising:

• obtaining a time series of flow values of the fluid flow measured in real-time using at least one flowmeter at at least one location in the conduit;
• determining, at each time step in the time series, that any one or more of the flow values is of low-quality as a low-quality value, any remaining ones of the flow values each being a high-quality value of high-quality;
• predicting, based on the high-quality values in the time series, a respective predicted value for each low-quality value at each time step in the time series;
• and
• calculating, based on the respective predicted values and the high-quality values, flow rates of multiphase components in the fluid flow at the at least one location.

A system used to characterize fluid flow in a conduit disposed in a wellbore, the system comprising:

• an apparatus disposed on the conduit in the wellbore, the apparatus being configured to measure a time series of flow values of the fluid flow in real-time at at least one location in the conduit;
• and
• a processing system in communication with the apparatus and being configured to:
• obtain the time series of the flow values;
• determine, at each time step in the time series, that any given one or more of the flow values is a low-quality value of low-quality, any remaining ones of the flow values each being a high-quality value of high-quality;
• predict, based on the high-quality values in the time series, a respective predicted value for each low-quality value at each time step in the time series;
• and
• calculate, based on the respective predicted values and the high-quality values, flow rates of multiphase components in the fluid flow at the at least one location.