Automated real-time water cut testing and multiphase flowmeter calibration advisory

Abstract

Systems and methods for generating pressure data from at least two pressure sensors, storing one or more parameters indicative of water cut in a neural network model, receiving pressure data from at least the two pressure sensors respectively indicative of the pressure at two points of a well bore, determining a pressure drop between the two points, generating an input water cut estimate, estimating a dynamic pressure loss to initiate an iterative process, estimating a potential energy loss, inverse modeling a water cut estimate, comparing the water cut estimate to the input water cut estimate to generate a water cut Δ, utilizing the water cut estimate as the input water cut estimate for the iterative process when the water cut Δ exceeds a threshold, and continuing the iterative process until the water cut Δ is below the threshold.