US Patent Issued to SAUDI ARABIAN OIL on Feb. 10 for "Generative diffusion machine learning for reservoir simulation model history matching" (Saudi Arabia, American Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,962, issued on Feb. 10, was assigned to SAUDI ARABIAN OIL COMPANY (Dhahran, Saudi Arabia).

"Generative diffusion machine learning for reservoir simulation model history matching" was invented by Mohammed Hashim Alnasser (Al Khobar, Saudi Arabia) and Marko Maucec (Englewood, Colo.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for generating history matched grid data. The method includes obtaining observed production data and obtaining latent grid data. The method further includes processing the observed production data to form observed latent production data and generating denoised latent grid data by removing noise from the latent grid dat...