ALEXANDRIA, Va., June 19 -- United States Patent no. 12,332,094, issued on June 17, was assigned to Halliburton Energy Services Inc. (Houston).
"Machine learning-based wellbore fluid flow rate prediction" was invented by Mikko Jaaskelainen (Houston), Benjamin Simon Schaeffer (Denver) and Julian Edmund Drew (Aurora, Colo.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for configuring a learning machine to predict a flow rate of at least one phase of a fluid. The method comprises determining a feature set for the learning machine, the feature set including information derived from a signal generated by a flow of the fluid interacting with a fluidic oscillator in a wellbore. The method comprises config...