Journal
JOURNAL OF APPLIED GEOPHYSICS
Volume 119, Issue -, Pages 139-146Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jappgeo.2015.05.015
Keywords
Borehole log; Cross-layer detection; Edge detection; Fracture detection; Hough transform; Optical televiewer; Texture segmentation
Funding
- Mu'tah University, Jordan
Ask authors/readers for more resources
Detailed characterisation of the structure of subsurface fractures is greatly facilitated by digital borehole logging instruments, the interpretation of which is typically time-consuming and labour-intensive. Despite recent advances towards autonomy and automation, the final interpretation remains heavily dependent on the skill, experience, alertness and consistency of a human operator. Existing computational tools fail to detect layers between rocks that do not exhibit distinct fracture boundaries, and often struggle characterising cross-cutting layers and partial fractures. This paper presents a novel approach to the characterisation of planar rock discontinuities from digital images of borehole logs. Multi-resolution texture segmentation and pattern recognition techniques utilising Gabor filters are combined with an iterative adaptation of the Hough transform to enable non-distinct, partial, distorted and steep fractures and layers to be accurately identified and characterised in a fully automated fashion. This approach has successfully detected fractures and layers with high detection accuracy and at a relatively low computational cost. (C) 2015 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available