Dr. Aitao Zhou
School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
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Representative Publications
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Journal Article
XMXingying Ma
Xingying MaAitao ZhouXCXiaoyu Cheng
Xiaoyu ChengCCCheng CHENG
Cheng CHENG
Wei ZhaoIn the process of deep coal seam mining, the problem of coal–gas compound disasters is increasingly prominent, with the safe and efficient extraction of gas serving as the key to disaster reduction. A deep coal seam gas extraction project is a complex coupled system involving multiple physical fields, such as stress fields, gas flow fields, and energy. Constructing a systematic theoretical framework of multiphysics field coupling is crucial for improving the safety and efficiency of gas extraction. This paper examines all existing multiphysics field coupling theories. It then suggests a theoretical modeling framework that is based on three important scientific issues: the coal deformation law, the gas flow law, and the coal porosity and permeability spatiotemporal distribution law. We further analyze the application and development of the model in typical coal seam gas extraction engineering on this basis. Finally, this paper points out the shortcomings of the current research and looks forward to the future research directions for the coupled coal and gas multiphysics field model, aiming to provide a theoretical basis and guidance for the model’s construction and application in gas extraction engineering.
Journal Article
In order to better solve the phenomenon of low oxygen in the corner of return airway caused by abnormal gas emission in goaf during shallow coal seam mining, by analyzing the source and reason of low oxygen phenomenon, a prediction model of oxygen concentration in the corner of return airway based on genetic algorithm (GA) and random forest (RF) technology was proposed. The training sample set was established by using the field data obtained from actual monitoring, including the oxygen concentration in the return airway corner, the periodic pressure step distance of the roof, the surface temperature and atmospheric pressure. GA was used to optimize the parameters in the RF model, including trees and leaves in the forest. The results showed that the model prediction error was minimum when the number of trees was 398 and the number of leaves was 1. In addition, GA was used to optimize the number of hidden neurons and the initial weight threshold of the back-propagation neural network (BPNN). In order to verify the superiority of the model, the GA optimized RF and BPNN model are compared with the conventional RF and BPNN model. Analyze the average absolute percentage error (MAPE), root mean square error (RMSE), and average absolute error (MAE) of the prediction data of each model. The results show that the optimized RF prediction model is better than other models in terms of prediction accuracy.
26 October 2022 in Journal of Petroleum Science and Engineering
Journal Article
Journal Article
HGHan Gao
Han Gao
Feng DuXCXiaoyu Cheng
Xiaoyu ChengJZJinjie Zhang
Jinjie ZhangAitao ZhouAir leakage in mine gas drainage drilling is a critical factor that affects gas extraction efficiency. It leads to a rapid decline in gas concentration, resulting in lower extraction efficiency and potential secondary disasters. To address this issue, a fully coupled gas–air mixed flow model is established in this study. The model examines the effects of extraction time, different negative pressures, and gas leakage on gas concentration. Additionally, it reveals the mechanism of air leakage around gas drainage boreholes. The simulation data are then compared with field gas drainage monitoring data to verify the reliability of the model. This verification serves as a basis for extraction regulation and control. The results demonstrate that during the later stages of extraction, the negative pressure decreases, causing a decline in gas concentration. Moreover, higher negative pressure leads to increased air inflow into the borehole, thereby reducing gas concentration. Consequently, selecting an appropriate negative pressure is crucial to improve pumping efficiency. The research findings hold significant guidance in achieving efficient gas mining.
22 January 2017 in Process Safety Progress
Journal Article
Journal Article
As an important natural resource, coal plays a critical role in social and economic development
About Me
Aitao Zhou received a bachelor’s degree in mining
engineering from Henan Polytechnic University in 2003, a master’s degree in
safety technology and engineering from Henan Polytechnic University in 2006,
and a Ph.D. in safety technology and engineering from China University
of Mining and Technology (Beijing) in 2012. Since 2012, he has been teaching at
the School of Emergency Management and Safety Engineering of China University
of Mining and Technology (Beijing). He is also a national registered safety
engineer, winner of the “Coal Youth Science and Technology Award” and one of
the first “Yueqi Young Scholars” of China University of Mining and Technology
(Beijing). He is a reviewer for domestic and foreign journals such as Sciences.
He has presided over three National Natural Science Foundation projects, two
sub-projects of the National Key R&D Program, six open projects of key
laboratories, and more than ten corporate cooperation projects. In recent
years, he has published more than 60 papers in domestic and foreign journals,
more than 40 of which have been included in SCI, EI, etc.; participated in the
editing of six monographs and textbooks; obtained seven invention patents; and won fourteen
provincial and ministerial scientific research awards. His main research
directions include gas efficient extraction theory and technology, ventilation theory
and technology during disasters, and emergency rescue theory and technology.