Geological reservoir characterization tasks based on computer vision techniques

L da Silva Bomfim, MVT Soares, AC Vidal… - Marine and Petroleum …, 2024 - Elsevier
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 …

[HTML][HTML] Logging Lithology Discrimination with Enhanced Sampling Methods for Imbalance Sample Conditions

J Liu, F Tian, A Zhao, W Zheng, W Cao - Applied Sciences, 2024 - mdpi.com
In the process of lithology discrimination from a conventional well logging dataset, the
imbalance in sample distribution restricts the accuracy of log identification, especially in the …

Sediment grain segmentation in thin-section images using dual-modal Vision Transformer

D Zheng, L Hou, X Hu, M Hou, K Dong, S Hu… - Computers & …, 2024 - Elsevier
Abstracts Accurately identifying grain types in thin sections of sandy sediments or
sandstones is crucial for understanding their provenance, depositional environments, and …

Lithology identification using electrical imaging logging image: A case study in Jiyang Depression, China

J Liu, X Min, Z Qi, J Yi, W Zhou - Journal of Applied Geophysics, 2024 - Elsevier
Lithology identification plays a significant role in stratigraphic evaluation and geological
analysis. Traditional lithology identification method is by modeling the relationship between …