Publication Name: AEGC 2021
Authors: Fatimah Alzubaidi, Patrick Makuluni, Stuart R. Clark, et al.
Date Published: September 2021
Number of Pages: 4
Abstract:
Drill cores provide the most reliable fracture information in subsurface formations as they present a clear and direct view of fractures. Core observation and image log interpretation are usually integrated for fracture analysis of underground layers. There has been a strong move towards developing automated fracture detection methods, however, the focus has been on extracting fracture information from log images, such as acoustic or resistivity image logs. Such efforts using core images are significantly less. This study presents a machine learning-based approach for automatic fracture recognition from unwrapped drill-core images.