Expanding role of borehole image logs in reservoir fracture and heterogeneity characterization: A review

DA Wood - Advances in Geo-Energy Research, 2024 - ager.yandypress.com
Borehole imaging well-log datasets provide a wide range of valuable information for various
aspects of petroleum reservoir characterization. In particular, electrical borehole images …

[HTML][HTML] Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology

H Bagheri, R Mohebian, A Moradzadeh… - Artificial Intelligence in …, 2024 - Elsevier
Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate
relationship with confined fluids. Traditional methods for predicting pore size distribution …

An Integrated Approach using YOLOv8 and ResNet, SeResNet & Vision Transformer (ViT) Algorithms based on ROI Fracture Prediction in X-ray Images of the Elbow

T Alam, WC Yeh, FR Hsu, WC Shia… - Current Medical …, 2024 - benthamdirect.com
Introduction: In this study, we harnessed three cutting-edge algorithms' capabilities to refine
the elbow fracture prediction process through X-ray image analysis. Employing the YOLOv8 …

Maximizing of the coverage and quality in micro resistivity image log by applying minimum weighted norm interpolation and anisotropic diffusion filter

Y Moradi Chaleshtori, S Yarmohammadi… - International Journal of …, 2024 - ijmge.ut.ac.ir
The micro-resistivity imaging log is a crucial tool for measuring the heterogeneous features
of a formation. It objectively and quantitatively describes various reservoir characteristics …