Results 1 to 10 of about 13,531 (202)

A dual branch model for predicting microseismic magnitude time series named DTFNet [PDF]

Scientific Reports
Microseismic monitoring is crucial in realizing intelligent early warning of coal mine rockbursts. Utilizing historical microseismic monitoring data to predict future microseismic events effectively enhances the accuracy of impact disaster prediction and
Hao Luo, Zhongyi Liu, Yishan Pan, Liang Wang, Chao Kong, Huan Zhang   +5 more
doaj   +2 more sources

Numerical simulation study on sub-regional evolution of microseismic characteristics of mining overburden rock

Meitan kexue jishu, 2023
In order to explore the fracture zone characteristics and microseismic evolution within overburden rock above mining coal seam, based on the geological engineering conditions of a mine, a microseismic simulation method was constructed according to the ...
Guotao YUAN, Mingwei ZHANG, Jie WANG, Jun WEI, Kun YANG   +4 more
doaj   +1 more source

Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network

工程科学学报, 2021
With the gradual transition of coal mining to deep mining, the number and intensity of rock burst events in the deep mining process are gradually increasing.
Yan-yu PEI, Xiao-bin YANG, Jin-ping CHUAN, Xue-song WU, Hong-ming CHENG, Xiang-feng LÜ   +5 more
doaj   +1 more source

Investigation of Microseismic Characteristics of Rock Burst Based on Fractal Theory

Applied Sciences, 2023
Microseismic monitoring is a common monitoring tool in the mining production process; for supervising a huge amount of microseismic data, effective analysis tools are necessary.
Ping Wang, Ze Zhao, Da Zhang, Zeng Chen
doaj   +1 more source

An Improved Microseismic Signal Denoising Method of Rock Failure for Deeply Buried Energy Exploration

Energies, 2023
Microseismic monitoring has become a well-known technique for predicting the mechanisms of rock failure in deeply buried energy exploration, in which noise has a great influence on microseismic monitoring results.
Shibin Tang, Shun Ding, Jiaming Li, Chun Zhu, Leyu Cao   +4 more
doaj   +1 more source

Coalescence microseismic mapping [PDF]

Geophysical Journal International, 2013
Earthquakes are commonly located by linearized inversion of discrete arrival time picks made from signals recorded at a network of seismic stations. If mis-picks are made, these will contribute to the location, therefore causing potential bias. For data recorded by a dense seismic array, direct imaging methods can be applied instead.
Drew, J., White, R., Tilmann, F., Tarasewicz, J.   +3 more
openaire   +4 more sources

Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method

IEEE Access, 2023
Microseismic arrival time picking serves as the foundation for microseismic source localization and holds significant importance in the field of microseismic monitoring.
Tingting Lin, Jingwang Cheng, Qiang Chen, Siyu Cui   +3 more
doaj   +1 more source

PSSegNet: Segmenting the P- and S-Phases in Microseismic Signals through Deep Learning

Mathematics, 2023
Microseismic P- and S-phase segmentation is an influential step that limits the accuracy of event location, parameter inversion, and mechanism analysis.
Zhengxiang He, Xingliang Xu, Dijun Rao, Pingan Peng, Jiaheng Wang, Suchuan Tian   +5 more
doaj   +1 more source

Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring

Advances in Civil Engineering, 2021
Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Hongbo Zhao, Bingrui Chen, Changxing Zhu
doaj   +1 more source

Testing the Utilization of a Seismic Network Outside the Main Mining Facility Area for Expanding the Microseismic Monitoring Coverage in a Deep Block Caving

Applied Sciences, 2022
In the case of mining in an inclined intrusion using the block caving method, the highest stress is usually concentrated in the seismogenic and abutment zones, especially in the front of the sloping area.
Wahyu Hidayat, David P. Sahara, Sri Widiyantoro, Suharsono Suharsono, Ridho Kresna Wattimena, Sari Melati, I Putu Raditya Ambara Putra, Septian Prahastudhi, Eric Sitorus, Erwin Riyanto   +9 more
doaj   +1 more source