Results 101 to 110 of about 23,608,882 (224)

Evaluation of microseismic motion at the KAGRA site based on ocean wave data [PDF]

open access: yes
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

open access: yesRemote Sensing
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

open access: yesSensors
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
doaj   +1 more source

Research on STA/LTA Microseismic Arrival Time-Picking Method Based on Variational Mode Decomposition

open access: yesApplied Sciences
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

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

Classification of Microseismic Signals Using Machine Learning

open access: yes
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

A Multi-Domain Approach to Understanding Microseismic Data in a Tight Gas Play

open access: yes, 2011
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

open access: yesEarthquake Research Advances
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]

open access: yes
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  

Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach

open access: yes, 2016
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

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