A novel physical model of coal and gas outbursts mechanism: Insights into the process and initiation criterion of outbursts

L Shu, K Wang, Z Liu, W Zhao, N Zhu, Y Lei - Fuel, 2022 - Elsevier
Coal and gas outburst (outburst) is one of the most serious disasters in the underground
mining industry. Understanding the mechanism of outbursts is essential to predict and …

[HTML][HTML] Deep learning of rock microscopic images for intelligent lithology identification: Neural network comparison and selection

Z Xu, W Ma, P Lin, Y Hua - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
An intelligent lithology identification method is proposed based on deep learning of the rock
microscopic images. Based on the characteristics of rock images in the dataset, we used …

Investigation of dynamic response of drilling parameters and deformation characteristics of coal around borehole during multi-stage reaming in tectonic coal

J Geng, L Cao, C Zhong, H Wang, B Chen - International Journal of Rock …, 2023 - Elsevier
Tectonic coal refers to the coal with varying degrees of brittle fracture or ductile deformation
under the action of one or multi-period tectonic stresses, showing the characteristics of low …

High-quality fracture network mapping using high frequency logging while drilling (LWD) data: MSEEL case study

E Fathi, TR Carr, MF Adenan, B Panetta… - Machine Learning with …, 2022 - Elsevier
Abstract The Marcellus Shale and Energy Environmental Laboratory (MSEEL) provides a
comprehensive dataset and field tests that can be used to study the significance of …

Analysis and selection of measurement indexes of MWD in rock lithology identification

W Zhang, J Ren, F Zhu, J Feng - Measurement, 2023 - Elsevier
Based on the measurement indexes monitored by the roof bolter while drilling, the rock
properties, fractures and other rock stratum characteristics can be obtained, which provide …

Experimental investigation of the rock cutting process and derivation of the 3D spatial distribution of the formation strength using in-cutter sensing

A Koulidis, G Pelfrene, S Ahmed - Journal of Petroleum Exploration and …, 2024 - Springer
Recent advances in downhole measurements allow to accurately measure drilling forces at
the drill bit, and estimate the evolution of the rock strength along the well profile. This paper …

Intelligent lithology identification methods for rock images based on object detection

H Zhenlong, W Jikang, S Jinrong, L Xinwei… - Natural Resources …, 2023 - Springer
Lithology identification is a crucial step in geological research. In recent years, the
development of artificial intelligence technologies has provided new insights into solving …

Artificial neural network for prediction of rock properties using acoustic frequencies recorded during rock drilling operations

CV Kumar, H Vardhan, CSN Murthy - Modeling Earth Systems and …, 2022 - Springer
Determining properties of rocks in rock mechanics/engineering applications such as
underground tunnelling, slope stability, foundations, dam design and rock blasting is often …

Measurement of bit-rock interface temperature and wear rate of the tungsten carbide drill bit during rotary drilling

VK Shankar, BM Kunar, CS Murthy, MR Ramesh - Friction, 2020 - Springer
Rock drilling is an essential operation in mining industries. Temperature at the bit-rock
interface plays a major role in the wear rate of the drill bit. This paper primarily focuses on …

An optimized variational mode decomposition and symmetrized dot pattern image characteristic information fusion-Based enhanced CNN ball screw vibration …

F Yang, X Tian, L Ma, X Shi - Measurement, 2024 - Elsevier
The failure of the ball screw in the machine tool presents various types and complex
coupling characteristics, which pose challenges in extracting fault features from vibration …