Results 71 to 80 of about 4,702 (274)

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

Deep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu, Manchao He, Jun Yang, Yubing Gao, Qiang Fu, Qing Ma, Yajun Wang   +6 more
wiley   +1 more source

Upper bound limit analysis of coral reef limestone cavern roof stability incorporating a tension‐shear failure mechanism with tensile‐strength cut‐off

Deep Underground Science and Engineering, EarlyView.
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Rock mechanical properties under reconstructed deep in situ thermo–hydro–mechanical conditions: Implications for CO₂‐related injection scenarios

Deep Underground Science and Engineering, EarlyView.
The graphical abstract illustrates a reconstructed in situ thermo‐hydro‐mechanical (THM) framework in which porosity serves as the central variable linking stress, pore pressure, and temperature to evolving mechanical properties of rocks. Under burial conditions, in situ stress, pore pressure, and temperature jointly govern volumetric strain and ...
Mingyuan Lu, Jun Wang, Zixiong Qi, Ruixuan Chen, Hongtao Wang, Hongwei Zhou   +5 more
wiley   +1 more source

Logging-data-driven lithology identification in complex reservoirs: an example from the Niuxintuo block of the Liaohe oilfield

Frontiers in Earth Science
For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment of reservoir models.
Zuochun Fan, Zuochun Fan, Changhao Hu, Shu Jiang, Man Li, Ye Cai, Yue Jiang, Yang Li, Mei Tian   +8 more
doaj   +1 more source

GIAT: A Geologically-Informed Attention Transformer for Lithology Identification

CoRR
Accurate lithology identification from well logs is crucial for subsurface resource evaluation. Although Transformer-based models excel at sequence modeling, their "black-box" nature and lack of geological guidance limit their performance and trustworthiness.
Jie Li, Qishun Yang, Nuo Li
openaire   +2 more sources

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Hybrid Lithology Identification Method Based on Isometric Feature Mapping Manifold Learning and Particle Swarm Optimization-Optimized LightGBM [PDF]

Accurate identification of lithology in petroleum engineering is very important for oil and gas reservoir evaluation, drilling decisions, and petroleum geological exploration. Using a cross-plot to identify lithology only considers two logging parameters,
Guo Wang, Haoyu Pan, Changsheng Li, Song Deng, Wenhao Gong, Shuguo Xu, Haolin Zhang, Wan Wei, Chaowei Li   +8 more
core   +1 more source

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Frontiers in Earth Science
Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency.
Xiongwei Li, Pengfei Li, Huaiyan Qi, Yuan Wang, Tianshu Zhan, Qingchao Li   +5 more
doaj   +1 more source

Core Image Lithology Identification

International Journal of Computer Science and Information Technology
Core is a part of subsurface rock formations, and rock classification can be achieved by analyzing lithological characteristics such as color, texture, or shape. This is an essential step in oil and gas exploration. In the field of geology, core image analysis is a method for studying the micro-features of rocks, utilizing color and texture ...
openaire   +1 more source