US Patent Issued to Halliburton Energy Services on June 2 for "Data-driven feature engineering and machine learning for analysis of distributed sensing data" (Colorado Inventor)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,644,371, issued on June 2, was assigned to Halliburton Energy Services Inc. (Houston).

"Data-driven feature engineering and machine learning for analysis of distributed sensing data" was invented by Richard Lloyd Gibson Jr. (Littleton, Colo.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided, in one aspect, is a method comprising receiving data of measurements from a distributed sensing system having sensors distributed along different depths of a wellbore formed in a subsurface formation; and performing signal processing of the data to output a number of modes, wherein each mode includes a subset of the data that quantifies behavior of at least one...