Results 81 to 90 of about 7,669 (224)
Polarized Earth's ambient microseismic noise
, 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 +2 more sources
Meitan xuebaoUnder the background of intelligent mine construction, intelligent microseismic signal processing serves as the cornerstone for precise early warning of mine dynamic disasters.
Anye CAO +6 more
doaj +1 more source
Transfer Learning and Benchmarking for Induced Seismic Event Detection: Insights From Oklahoma
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Machine learning models for microseismicity detection are often limited by the scarcity of large and high‐quality labeled data sets in many regions. To address this need, we introduce the Oklahoma Labeled AI Dataset (OKLAD), a manually curated data set compiled by the Oklahoma Geological Survey (OGS).
Hongyu Xiao +7 more
wiley +1 more source
Joint Microseismic Event Detection and Location With a Detection Transformer [PDF]
Microseismic event detection and location are two primary components in microseismic monitoring, which offer us invaluable insights into the subsurface during reservoir stimulation and evolution.
Yang, Yuanyuan +2 more
core +3 more sources
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 +4 more
core +1 more source
CNN-Transformer for Microseismic Signal Classification
, 2023 The microseismic signals of coal and rock fractures collected by underground sensors contain masses of blasting vibration signals generated by coal mine blasting, and the waveforms of the two signals are highly similar.
Zihan Zhang +3 more
core +1 more source
Classification of Microseismic Signals Using Machine Learning
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.
Yi Cui +6 more
core +1 more source
Mine-Microseismic-Signal Recognition Based on LMD–PNN Method
, 2022 The effective recognition of microseismic signal is related to the accuracy of mine-dynamic-disaster precursor-information processing, which is a difficult method of microseismic-data processing.
Yingchun Li, Qiang Li, Qingyuan He
core +1 more source
The May 29 2008 earthquake aftershock sequence within the South Iceland Seismic Zone: Fault locations and source parameters of aftershocks [PDF]
The mid-Atlantic plate boundary breaks up into a series of segments across Iceland. The South Iceland Seismic Zone (SISZ) is a complex transform zone where left-lateral E-W shear between the Reykjanes Peninsula Rift Zone and the Eastern Volcanic Zone is ...
Guðmundsson, O. +5 more
core
Journal of Geophysical Research: Machine Learning and ComputationMicroseismic monitoring is crucial for characterizing and assessing fracture systems developed during subsurface operations like geothermal reservoir development, CO2 sequestration, and hydraulic fracturing.
Yuanyuan Yang +2 more
doaj +1 more source