Results 51 to 60 of about 9,242 (223)
Deep 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
Prediction method for rockburst hazard areas based on microseismic spatiotemporal flow map
Gong-kuang zidonghuaThe spatiotemporal distribution characteristics of microseismic events are closely related to the intensity of rockbursts in coal mines. Prediction methods and visual representations of microseismic data based on machine learning are important technical ...
CAO Anye +4 more
doaj +1 more source
International Journal of Computational Intelligence Systems, 2023 Microseismic signals contain various information for oil and gas developing. Increasing the signal-to-noise ratio of microseismic signals can successfully improve the effectiveness of oil and gas resource exploration.
Xuegui Li +4 more
doaj +1 more source
Resonance in downhole microseismic data and its removal [PDF]
SEG Technical Program Expanded Abstracts 2016, 2016 Author(s): Zhang, Z; Rector, JW; Nava, MJ | Abstract: We identified resonance due to poor geophone-borehole cou- pling in downhole microseismic data and proposed to use spik- ing deconvolution and relative spectrum analysis to remove its effect. The resonance may hinder the arrival time picking and contaminate microseismic waveform spectrum.
Zhang, Z, Rector, JW, Nava, MJ
openaire +3 more sources
Energy Science &Engineering, EarlyView.With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong +5 more
wiley +1 more source
Study on the Influence of Slope Static Load on Shallow Lining Support Structure
Energy Science &Engineering, EarlyView.On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang +3 more
wiley +1 more source
IEEE Access, 2018 Microseismic monitoring is widely applied in dams, mines, and various fields of underground engineering. The number of sensors in microseismic monitoring systems is usually very large, which will result in a huge amount of data being produced if the ...
Ran Zhang +3 more
doaj +1 more source
Automatic Classification of Microseismic Records in Underground Mining: A Deep Learning Approach
IEEE Access, 2020 The identification of suspicious microseismic events is the first crucial step in processing microseismic data. In this paper, we present an automatic classification method based on a deep learning approach for classifying microseismic records in ...
Pingan Peng +3 more
doaj +1 more source
Sensors, 2023 We propose a method to enhance the accuracy of arrival time picking of noisy microseismic recordings. A series of intrinsic mode functions (IMFs) of the microseismic signal are initially decomposed by employing the ensemble empirical mode decomposition ...
Xiaohui Zhang +2 more
doaj +1 more source
Comparison of geomechanical deformation induced by megatonne-scale CO2 storage at Sleipner, Weyburn, and In Salah [PDF]
, 2013 Geological storage of CO2 that has been captured at large, point source emitters represents a key potential method for reduction of anthropogenic greenhouse gas emissions. However, this technology will only be viable if it can be guaranteed that injected
Bissell, Rob C. +5 more
core +1 more source