Results 41 to 50 of about 6,541 (225)

An Anisotropic Velocity Model for Microseismic Events Localization in Tunnels

open access: yesSensors, 2023
The velocity model is one of the main factors affecting the accuracy of microseismic event localization. This paper addresses the issue of the low accuracy of microseismic event localization in tunnels and, combined with active-source technology ...
Tong Shen   +4 more
doaj   +1 more source

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

open access: yesDeep 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   +6 more
wiley   +1 more source

Microseismic Location Using Differential Backazimuth Angles [PDF]

open access: yes, 2016
The most common procedure for locating borehole microseismic events is solution of a minimization problem based on observed travel time differences compared to calculated travel time differences derived from a given velocity model and oriented geophones.
Jacobsen, Rae
core  

Conditional Diffusion Model for Robust 3-D Microseismic Event Localization from Noisy Waveforms [PDF]

open access: yes
Locating microseismic events is crucial to monitoring fracking activities, CO2 injection, and reservoirs in general. However, the process of locating such events is challenging, especially in low signal-to-noise scenarios.
Wamriew, Daniel, Alkhalifah, Tariq Ali
core   +1 more source

A Practical Guide to Interpreting Microseismic Measurements [PDF]

open access: yes, 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   +3 more
core   +1 more source

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

open access: yesDeep 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   +4 more
wiley   +1 more source

Polarized Earth's ambient microseismic noise [PDF]

open access: yes, 2018
We quantify, analyze, and characterize the frequency-dependent microseismic noise recorded by worldwide distributed seismic stations. Microseismic noise is generated through the interaction of ocean waves.
Schimmel, Martin   +3 more
core   +3 more sources

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

open access: yesMeitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN   +7 more
doaj   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Comparison of Surface and Downhole Microseismic Acquisition [PDF]

open access: yes, 2017
The most common microseismic monitoring methods used in the industry today are by the use of surface arrays and downhole arrays. In surface acquisition, sensors are deployed on the surface in large two-dimensional arrays, allowing this method to provide
Rohan, Kara
core  

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