Results 111 to 120 of about 5,383,519 (211)

A Practical Guide to Interpreting Microseismic Measurements

, 2011
Thousands of hydraulic fracture treatments have been monitored in the past ten years using microseismic mapping, providing a wealth of measurements that show a surprising degree of diversity in event patterns.
M.. Mack, R.. Downie, C.. Cipolla, S.. Maxwell   +3 more
core   +1 more source

Microseismic Monitoring At a Limestone Mine

, 2009
Improving microseismic monitoring efficiency and accuracy at a mine requires an integrated effort. This article discusses a case study which demonstrates that the monitoring efficiency and accuracy can be drastically improved through optimally using the ...
Iannacchione, A.T., Ge, Mao Chen, Mrugala, M.   +2 more
core   +1 more source

Multi-channel microseismic signals classification with convolutional neural networks

IAES International Journal of Artificial Intelligence (IJ-AI)
Identifying and classifying microseismic signals is essential to warn of mines’ dangers. Deep learning has replaced traditional methods, but labor-intensive manual identification and varying deep learning outcomes pose challenges. This paper proposes a transfer learning-based convolutional neural network (CNN) method called microseismic signals ...
Shu, Hongmei, Yahya Dawod, Ahmad, Tepsan, Worawit, Mu, Lei, Tang, Zheng   +4 more
openaire   +1 more source

Automatic denoising and detection of microseismic events using the synchrosqueezing

, 2016
Typical microseismic data recorded by surface arrays are characterized by low signal-to-noise ratios (SNR). A method for SNR improvement and simultaneous detection of microseismic events in time-frequency domain is presented. The proposed method is based
Seyed Mostafa Mousavi, Langston, Charles A., Mousavi, S. Mostafa, Horton, Stephen P., Stephen Horton, Charles Langston   +5 more
core   +1 more source

Time difference of arrival estimation of microseismic signals based on alpha-stable distribution

, 2017
. Microseismic signals are generally considered to follow the Gauss distribution. A comparison of the dynamic characteristics of sample variance and the symmetry of microseismic signals with the signals which follows α-stable distribution, reveals that ...
Yue Gong, Rui-Sheng Jia, Xing-Li Zhang, Yan-Jun Peng, Hong-Mei Sun, Xing-Min Lu   +5 more
core   +1 more source

Mine microseismic and electrical coupling monitoring technology [PDF]

With the increase of the depth, mining intensity and area of coal resource, the mining disturbances in the mining face can easily induce mine water inrush accidents, seriously threatening the safe mining of coal resources in China.
Chunyang LI, Cai YANG, Shengdong LIU, Chuan REN, Jun ZHANG   +4 more
core   +1 more source

A Microseismic Signal Denoising Algorithm Combining VMD and Wavelet Threshold Denoising Optimized by BWOA

Computer Modeling in Engineering & Sciences
Dijun Rao, Ming-Qing Huang, Xiu-Zhi Shi, Zhi Yu, Zhengxiang He   +4 more
semanticscholar   +1 more source

Double dominant frequency of microseismic signal and micro-fracture mechanism of granite rockmass

Microseismic monitoring plays a pivotal role in understanding rock fracture mechanisms in engineering. This study integrates laboratory-scale acoustic emission experiments with engineering -scale microseismic monitoring to examine the double dominant ...
Sihong Chen, Hua Li, Bohu Zhang, Chaobo Peng, Zhe Wang, Jianhui Deng, Ping Wen   +6 more
core   +1 more source

Isotropic components of microseismic moment tensors at Utah FORGE reveal a diversity of fluid pathway creation processes in EGS development. [PDF]

Sci Rep
Niemz P, Petersen G, Rutledge J, Whidden K, Pankow K.   +4 more
europepmc   +1 more source

SYSTEM OF SIGNAL DETECTION ON THE BACKGROUND OF MICROSEISMIC NOISE

Transactions of Kremenchuk Mykhailo Ostrohradskyi National University, 2020
openaire   +1 more source