Results 51 to 60 of about 4,586 (215)

First-Arrival Picking for Microseismic Monitoring Based on Deep Learning

International Journal of Geophysics, 2021
In microseismic monitoring, achieving an accurate and efficient first-arrival picking is crucial for improving the accuracy and efficiency of microseismic time-difference source location.
Xiaolong Guo
doaj   +1 more source

Classification of Microseismic Signals Using Machine Learning

Processes
The classification of microseismic signals represents a fundamental preprocessing step in microseismic monitoring and early warning. A microseismic signal source rock classification method based on a convolutional neural network is proposed. First, the characteristic parameters of the microseismic signals are extracted, and a convolutional neural ...
Ziyang Chen, Yi Cui, Yuanyuan Pu, Yichao Rui, Jie Chen, Deren Mengli, Bin Yu   +6 more
openaire   +1 more source

DAMPING MEASUREMENTS FROM MICROSEISMIC SIGNALS TO INFER ROCK MASS DAMAGING

Italian Journal of Engineering Geology and Environment, 2019
Geophysical monitoring performed on unstable portions of rock masses can help in defining a variation in its stability conditions, resulting as a useful indicator for landslide risk reduction. In particular, understanding geophysical markers of rock mass damaging, intended as the processes that lead to the formation or to the growth of fractures, could
DANILO D’ANGIÒ, LUCA LENTI, SALVATORE MARTINO   +2 more
openaire   +2 more sources

Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures

Deep Underground Science and Engineering, EarlyView.
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao, Jiachen Xu, Kai Zhang, Changtai Zhou   +3 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

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

Seismic imaging of hydraulically-stimulated fractures: A numerical study of the effect of the source mechanism [PDF]

, 2012
We present a numerical study of seismic imaging of hydraulically stimulated fractures using a single source from an adjacent fracturing-process. The source is either a point force generated from the perforation of the casing of the well or a double ...
Aki K., Deng F., Marcinkovich C., Song F., Warpinski N., Warpinski N., Wu R.-S.   +6 more
core   +1 more source

Filtering of microseismic data based on information about signal phases

IOP Conference Series: Earth and Environmental Science, 2021
Abstract Seismic data filtering algorithm has been developed. The proposed algorithm allows amplifying signals from the sources located inside a selected area of space. The paper presents a theory describing the principle of this algorithm. Testing on synthetic data showed that the proposed filtering method is capable to suppress signals
AV Azarov, AS Serdyukov
openaire   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +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