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Identification of rock discontinuities by coda wave analysis while borehole drilling in deep buried tunnels
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 …
profound impact on construction safety, support design, and geological hazard prevention …
Automatic fracture detection from the images of electrical image logs using Mask R-CNN
L Du, X Lu, H Li - Fuel, 2023 - Elsevier
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 …
image logs using a state-of-the-art object detection and segmentation method, ie, the Mask …
Svalbox digital model database: a geoscientific window into the high Arctic
P Betlem, N Rodés, T Birchall, A Dahlin… - …, 2023 - pubs.geoscienceworld.org
Digital outcrop models (DOMs) have revolutionized the way twenty-first century geoscientists
work. DOMs are georeferenced three-dimensional (3-D) digital representations of outcrops …
work. DOMs are georeferenced three-dimensional (3-D) digital representations of outcrops …
A deep learning object detection method for fracture identification using conventional well logs
S Dong, J Hao, L Zeng, X Yang, L Wang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Reservoir characterization struggles with identifying fractures, a typical imbalance
classification problem. To handle this issue, a novel approach called fracture identification …
classification problem. To handle this issue, a novel approach called fracture identification …
Geocrack: A high-resolution dataset for segmentation of fracture edges in geological outcrops
M Yaqoob, M Ishaq, MY Ansari, VRS Konagandla… - Scientific Data, 2024 - nature.com
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 …
geological outcrops, enabling deep learning-based fracture segmentation, setting a new …
Sediment grain segmentation in thin-section images using dual-modal Vision Transformer
Accurately identifying grain types in thin sections of sandy sediments or sandstones is
crucial for understanding their provenance, depositional environments, and potential as …
crucial for understanding their provenance, depositional environments, and potential as …
Intelligent identification and segmentation of fractures in images of ultrasonic image logging based on transfer learning
C Li, C Zou, C Peng, X Lan, YY Zhang - Fuel, 2024 - Elsevier
Ultrasonic imaging well logging is an oil and gas exploration technique that provides visual
identification of reservoir fractures. It holds significant importance in accurately predicting …
identification of reservoir fractures. It holds significant importance in accurately predicting …
Fracture analyser: a Python toolbox for the 2D analysis of fracture patterns
L Borghini, G Striglio, G Bacchiani… - Italian Journal of …, 2024 - pubs.geoscienceworld.org
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 …
presence, distribution, orientation, and interconnection are some of the main parameters that …
Intelligent recognition and identification of fracture types and parameters for borehole images based on developed convolutional neural networks and post-processing
C Liu, J Kim, JJ Song, X Zheng, NM Shahani… - Engineering Fracture …, 2023 - Elsevier
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 …
but there is still a lack of identification systems for deriving fracture parameters from borehole …
Automatic borehole fracture detection and characterization with tailored Faster R-CNN and simplified Hough transform
S Han, X **ao, B Song, T Guan, Y Zhang… - Engineering Applications of …, 2023 - Elsevier
Understanding the geological information of fractures from borehole images is essential for
conducting a thorough geological analysis in engineering. Recently, the convolutional …
conducting a thorough geological analysis in engineering. Recently, the convolutional …