Evaluation of microseismic motion at the KAGRA site based on ocean wave data [PDF]
The microseismic motion, ambient ground vibration caused by ocean waves, affects ground-based gravitational wave detectors. In this study, characteristics of the ocean waves including seasonal variations and correlation coefficients were investigated for
Ohkawa, M. +4 more
core +1 more source
Hydraulic Fracturing Shear/Tensile/Compressive Crack Investigation Using Microseismic Data
In unconventional oil and gas development, the hydraulic fracturing (HF) technique is adopted to inject high-pressure fluid into the reservoir and change its pore-fracture connection structure to enhance production.
Han Li, Xu Chang, Jinlai Hao
doaj +1 more source
Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings
Accurate and automatic first-arrival picking is one of the most crucial steps in microseismic monitoring. We propose a method based on fuzzy c-means clustering (FCC) to accurately divide microseismic data into useful waveform and noise sections.
Xiangyun Zhao +4 more
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Research on STA/LTA Microseismic Arrival Time-Picking Method Based on Variational Mode Decomposition
The complex environment of metal mines causes significant noise interference in microseismic signals. This leads to low accuracy and high false alarm rates when using the conventional Short-Term Average/Long-Term Average (STA/LTA) method for first ...
Zhiyong Fang +3 more
doaj +1 more source
A Practical Guide to Interpreting Microseismic Measurements
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
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
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A Multi-Domain Approach to Understanding Microseismic Data in a Tight Gas Play
In fluvial, multi-layer, tight-gas program, the acquisition of microseismic data together with the development of stress models and production models can significantly influence a development program.
R. Duke Cooley +3 more
core +1 more source
Automatic location of surface-monitored microseismicity with deep learning
Accurate and rapid determination of source locations is of great significance for surface microseismic monitoring. Traditional methods, such as diffraction stacking, are time-consuming and challenging for real-time monitoring.
Zhaolong Gan +3 more
doaj +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
Underground storage in unlined caverns is of great significance for storing energy resources. Construction of underground storage caverns is an extremely complex process, involving extensive multi-bench excavation and strong unloading. Excavation-induced
Tang DH +7 more
core +1 more source

