US Patent Issued to SCHLUMBERGER TECHNOLOGY on May 27 for "Ground roll attenuation using unsupervised deep learning" (Texas Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,313,800, issued on May 27, was assigned to SCHLUMBERGER TECHNOLOGY Corp. (Sugar Land, Texas).

"Ground roll attenuation using unsupervised deep learning" was invented by Haibin Di (Houston), Nicolae Moldoveanu (Houston), Hiren Maniar (Houston) and Aria Abubakar (Sugar Land, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine-implemented method, at least one non-transitory computer-readable medium storing instructions, and a computing system are provided for attenuating noise. A computing system receives a seismic image and generates a first image using a first neural network configured to identify low-frequency ground roll in a seismic image, ...