US Patent Issued to SCHLUMBERGER TECHNOLOGY CORPORATION SUGAR on March 24 for "Machine learning synthesis of formation evaluation data" (Texas, California Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,040, issued on March 24, was assigned to SCHLUMBERGER TECHNOLOGY CORPORATION SUGAR (Sugar Land, Texas).

"Machine learning synthesis of formation evaluation data" was invented by Crispin Chatar (Katy, Texas), Priya Mishra (Menlo Park, Calif.), Cheolkyun Jeong (Sugar Land, Texas) and Velizar Vesselinov (Sugar Land, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "An apparatus and method utilize a trained machine learning model to synthesize formation evaluation data such as formation tops and LWD logs. In some instances, the synthesis of formation evaluation data may further be based upon drilling mechanics data collected during drilling, thus ef...