Digital outcrop models (DOMs) have revolutionized the way twenty-first century geoscientists
work. DOMs are georeferenced three-dimensional (3-D) digital representations of outcrops …

Rock discontinuities are widely and randomly developed in deep buried tunnels and have a
profound impact on construction safety, support design, and geological hazard prevention …

This paper presents a novel approach for automatically detecting fractures from electrical
image logs using a state-of-the-art object detection and segmentation method, ie, the Mask …

Reservoir characterization struggles with identifying fractures, a typical imbalance
classification problem. To handle this issue, a novel approach called fracture identification …

Understanding the geological information of fractures from borehole images is essential for
conducting a thorough geological analysis in engineering. Recently, the convolutional …

GeoCrack is the first large-scale open source annotated dataset of fracture traces from
geological outcrops, enabling deep learning-based fracture segmentation, setting a new …

Reservoir characterization is of great importance in oil and gas exploration and production.
To automate and improve the procedures involved in this task, several approaches in the …

Fractures are the most common result of rock brittle failure in the Earth's crust. Their
presence, distribution, orientation, and interconnection are some of the main parameters that …

Borehole imaging is one of the main methods for fracture observation in the rock formations,
but there is still a lack of identification systems for deriving fracture parameters from borehole …

Abstract Rock Quality Designation (RQD) is a common index for rock integrity evaluation in
engineering. However, it is tiresome and inefficient to log core samples manually. To …