Invention Application
- Patent Title: IMAGE-BASED 3D PORE SURFACE ROUGHNESS CHARACTERIZATION METHOD
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Application No.: US18324806Application Date: 2023-05-26
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Publication No.: US20240394447A1Publication Date: 2024-11-28
- Inventor: Marwah M. Alsinan , Yiteng Li , Xupeng He , Hyung Tae Kwak , Hussein Hoteit
- Applicant: SAUDI ARABIAN OIL COMPANY , King Abdullah University of Science and Technology
- Applicant Address: SA Dhahran; SA Thuwal-Jeddah
- Assignee: SAUDI ARABIAN OIL COMPANY,King Abdullah University of Science and Technology
- Current Assignee: SAUDI ARABIAN OIL COMPANY,King Abdullah University of Science and Technology
- Current Assignee Address: SA Dhahran; SA Thuwal-Jeddah
- Main IPC: G06F30/28
- IPC: G06F30/28 ; G06T7/11 ; G06T7/40

Abstract:
Systems and methods for correcting NMR T2 times are disclosed. The method may include creating a plurality of 3D rough surface pore models, where each 3D rough surface pore model includes a rough surface, for each of the plurality determining a pore roughness coefficient (PRC) and a volume; and simulating a first T2 relaxation time based on the 3D rough surface pore model. The method may further include determining a smooth surface pore model, with the same volume as the 3D rough surface pore model, and simulating a second T2 relaxation time based on the smooth surface pore model. The method may still further includes determining a T2 rough surface correction factor based on the first and the second T2 relaxation times, and forming a data pair comprising the pore roughness coefficient (PRC) and the T2 rough surface correction factor; and fitting a T2 correction curve to the data pairs.
Information query