METHODS AND SYSTEMS FOR REAL-TIME MULTIPHASE FLOW PREDICTION USING SENSOR FUSION AND PHYSICS-BASED HYBRID AI MODEL(S)

Abstract: a method for determining multiphase flow rates from a well in real-time, the method includes obtaining temperature and pressure data of flow of a multiphase fluid that includes a first phase at one or more locations in a wellbore conveying the flow. the flow is controlled, at least in part, by a set of well operation parameters. the method further includes determining, with an artificial intelligence (ai) model, a first predicted flow rate of the first phase at a first location given an input that includes the temperature and pressure data. the method further includes determining, with an optimizer applied to the ai model, an optimal set of well operation parameters based on, at least, the first predicted flow rate. the method further includes adjusting, automatically, the set of well operation parameters to the optimal set of well operation parameters.

Inventor(s): James Ohioma Arukhe, Mohammed Elmetwally Gomaa

CPC Classification: E21B47/103 (using thermal measurements)

Search for rejections for patent application number 20250179910