公开(公告)号：US20250078472A1

公开(公告)日：2025-03-06

申请号：US18458005

申请日：2023-08-29

Applicant: ARAMCO SERVICES COMPANY

Inventor： Weichang Li ,  Osama B. Dabbousi ,  Saif S. Alhajri ,  Mustafa Ali H. Al Ibrahim

IPC: G06V10/774 ,  G06F16/951 ,  G06T7/40 ,  G06V10/764 ,  G06V20/70

Abstract: A method and a system for generating a labeled benchmark dataset are disclosed. The method includes obtaining a plurality of sources related to a thin section using web scraping and extracting a plurality of images from the plurality of sources related to the thin section, the plurality of images including a plurality of thin section images and a plurality of non-thin section images. Further, the method includes determining the plurality of thin section images from the plurality of extracted images and generating a classification of the plurality of thin section images based on a given classification criteria. The geological thin-section based machine learning models is trained based on the generated classification of the plurality of thin section images and a wellbore drilling plan is generated based on the geological thin-section based machine learning models.