ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,748,231, issued on Sept. 29, was assigned to SK EARTHON Co. LTD. (Seoul, South Korea) and IUCF-HYU (INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY) (Seoul, South Korea).

"Machine learning-based two-step impedance inversion method and apparatus using seismic data" was invented by Jun Hwan Choi (Seoul, South Korea), Chang Ho Jeong (Seoul, South Korea), Hyung Wook Choi (Seoul, South Korea), Joong Moo Byun (Seoul, South Korea), Jeong Hun Yoo (Seoul, South Korea) and Do Wan Kim (Seoul, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for a machine learning-based two-step impedance inversion method using seismic data are d...