Results 71 to 80 of about 96,107 (273)
An optimizing microseismic method for rock burst early warning based on mining production process
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
Dynamic features of “Petrozavodsk” seismic station
The paper is devoted to the estimability and recordability of seismic events, namely the research of the noise power spectral density (PSD) and its diurnal variation around “Petrozavodsk” seismic station (PTRZ), located within the Onega structure of the ...
Александр Валерьевич Климовский +5 more
doaj +1 more source
In recent years, distributed optical fiber acoustic sensing (DAS) technology has been increasingly used for vertical seismic profile (VSP) exploration. Even though this technology has the advantages of high spatial resolution, strong resistance to high ...
Cong Wang +3 more
doaj +1 more source
Expert-based development of a standard in CO2 sequestration monitoring technology [PDF]
Bureau of Economic ...
Hovorka, S. D. +6 more
core +1 more source
Joint orientation significantly affects P‐wave velocity, with the highest velocity at zero‐degree angles, decreasing to 30° as the angle increases. The velocity increases slightly from 30 to 45 degrees but sharply decreases from 45 to 90 degrees. Abstract Determination of the required parameters in different science contexts using the ultrasonic wave ...
Yaghoob Zarei +4 more
wiley +1 more source
Regression of Environmental Noise in LIGO Data [PDF]
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM).
Drago, Marco +10 more
core +2 more sources
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
wiley +1 more source
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features.
Jiarui Xia, Yongshou Dai
doaj +1 more source
A physical model for seismic noise generation by turbulent flow in rivers [PDF]
Previous studies suggest that the seismic noise induced by rivers may be used to infer river transport properties, and previous theoretical work showed that bedload sediment flux can be inverted from seismic data.
Gimbert, Florent +2 more
core +1 more source
Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source

