ALEXANDRIA, Va., June 4 -- United States Patent no. 12,320,944, issued on June 3, was assigned to CHINA PETROLEUM & CHEMICAL Corp. (Beijing).

"Method for calibrating prestack seismic inversion using fully connected neural networks" was invented by Yi Tao (Houston), Jianhua Yu (Houston), Jianxing Hu (Houston) and Yequan Chen (Houston).

According to the abstract* released by the U.S. Patent & Trademark Office: "An approach for calibrating prestack seismic inversion is provided. This method includes selecting various features from inverted elastic properties to generate reservoir properties; fully connected neural network models are used to learn the mapping between the features and ground truth data at well locations; and the prediction is ...