ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,504, issued on May 12, was assigned to DarkVision Technologies Inc..
"Machine learning model for measuring perforations in a tubular" was invented by Siavash Khallaghi (Vancouver, Canada).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method and instruction memory for processing acoustic images of a downhole casing to determine perforations of the tubular. The images may be acquired by an acoustic logging tool deployed into cased well. A Machine Learning model is trained to recognize regions of the acoustic images that are perforations or not, in order to calculate geometric properties of the perforation and overall casing. Renderings of the imaged ...