Results 51 to 60 of about 13,531 (202)

Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering

Sensors, 2021
Due to the complexity of the various waveforms of microseismic data, there are high requirements on the automatic multi-classification of such data; an accurate classification is conducive for further signal processing and stability analysis of ...
Hang Zhang, Jun Zeng, Chunchi Ma, Tianbin Li, Yelin Deng, Tao Song   +5 more
doaj   +1 more source

Study on the Law of Multi‐Fracture Propagation in Different Fracturing Fluid Viscosity

Energy Science &Engineering, EarlyView.
Samples and equipment Sample preparation Test equipment Analysis of test results Fracture propagation morphology Influence of fracturing fluid viscosity on crack initiation time/(fracture initiation pressure) Evolution law of injection pressure Cumulative relation curve of pressure–time–acoustic ABSTRACT Using the TCHFSM‐I large‐scale accurate triaxial
Zhixing Zhang, Xiang Fu, Yuedong Liu, Xiaoqiang Zhang, Yulong Jiang   +4 more
wiley   +1 more source

Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models

Applied Sciences
The environment for acquiring microseismic signals is always filled with complex noise, leading to the presence of abundant invalid signals in the collected data and greatly disturbing effective microseismic signals.
Sihongren Shen, Bo Wang, Linfeng Zeng, Sheng Chen, Liujun Xie, Zilong She, Lanying Huang   +6 more
doaj   +1 more source

Research on the Laws of Destructive Patterns and Control Measures of Overlying Rock in High‐Efficiency Large‐Scale Mining Faces

Energy Science &Engineering, EarlyView.
With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong, Peilin Gong, Kang Yi, Kaijie Duan, Lizhu Liu, Peng Li   +5 more
wiley   +1 more source

Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network

Earth and Space Science, 2019
Automatic waveform classification and arrival picking methods are widely studied to reduce or replace the manual works. Machine learning based methods, especially neural networks, and clustering based methods have shown great potentials in previous ...
Yangkang Chen, Guoyin Zhang, Min Bai, Shaohuan Zu, Zhe Guan, Mi Zhang   +5 more
doaj   +1 more source

Geological Storage of CO2 and H2: A Bibliometric Synthesis of General and Laboratory‐Scale Research Evolution

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Underground gas storage is a cornerstone technology for addressing climate change and advancing the clean energy transition. By managing greenhouse gas emissions and enhancing energy system resilience, it supports global sustainability goals.
Sara Roces, Jhon Caicedo‐Potosí, Timea Kovács, Berta Ordóñez‐Casado, Sergio Llana‐Fúnez, Edgar Berrezueta   +5 more
wiley   +1 more source

Liquids-Rich Shale Evaluation: Modelling and Optimization of Hydraulically Fractured Liquids-Rich Shale Wells [PDF]

, 2013
Imperial Users ...
Cunha, Marco, Cunha, Marco
core  

The von Neumann Stability Analysis of the Fixed‐Stress Schemes in Poroelastodynamics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 4, Page 1939-1951, March 2026.
ABSTRACT We investigate splitting schemes based on the fixed‐stress sequential approach for poroelastodynamic problems. To assess numerical stability, we perform the von Neumann stability analysis on several fixed‐stress schemes for poroelastodynamics, including staggered, stabilized, and iterative methods. Our analysis reveals that while the staggered
Jihoon Kim, Sanghyun Lee, Mary F. Wheeler   +2 more
wiley   +1 more source

Construction and application of foundational models for intelligent processing of microseismic events in mines

Meitan xuebao
Under the background of intelligent mine construction, intelligent microseismic signal processing serves as the cornerstone for precise early warning of mine dynamic disasters.
Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG   +6 more
doaj   +1 more source

Parallel Processing Method for Microseismic Signal Based on Deep Neural Network

Remote Sensing, 2023
The microseismic signals released by rock mass fracture can be captured via microseismic monitoring to evaluate the development of geological disasters.
Chunchi Ma, Wenjin Yan, Weihao Xu, Tianbin Li, Xuefeng Ran, Jiangjun Wan, Ke Tong, Yu Lin   +7 more
doaj   +1 more source