US Patent Issued to Schlumberger Technology on July 21 for "Rate of penetration forecasting while drilling using a transformer-based deep learning model" (Texas Inventors)

ALEXANDRIA, Va., July 21 -- United States Patent no. 12,688,399, issued on July 21, was assigned to Schlumberger Technology Corp. (Sugar Land, Texas).

"Rate of penetration forecasting while drilling using a transformer-based deep learning model" was invented by Carlos Urdaneta (Houston) and Cheolkyun Jeong (Katy, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for forecasting a rate of penetration while drilling includes training a transformer-based machine learning model with historical drilling data obtained from a plurality of drilled wells to establish relationships between measured drilling parameters and ROP; acquiring short context drilling data while drilling the subterranean wellbore, ...