ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,361, issued on June 30, was assigned to Baker Hughes Holdings LLC (Houston).
"Machine learning based techniques for predicting component corrosion likelihood" was invented by Godine Kok Yan Chan (Houston), Okja Kim (Houston), Tarik Borogovac (Wakefield, Mass.), Shyam Boriah (Somerville, Mass.) and Mohamad Bagheri Esfe (Houston).
According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning based method for determining a likelihood of corrosion of a component is provided. The method comprises receiving data associated with a portion of at least one component, the data describing one or more operating conditions of the portion of the at least one co...