Microseismic study of the interandine valley between Latacunga and Cuayllabamba [PDF]
The present state of two active volcanoes and the principal active seismic faults in a 100 km area from Quito to Toacaso, Ecuador was studied.
Hall, M., Ramon, M.
core +1 more source
Detection and monitoring of high stress concentration zones induced by coal mining using numerical and microseismic method [PDF]
, 2001 Zones of high stress concentration induced by coal mining at a depth of 1250 meters in the Lorraine Collieries are detected and monitored using a combination of numerical and microseismic methods.
Al Heib, Marwan +3 more
core +1 more source
A semblance-based microseismic event detector for DAS data
Geophysical Journal InternationalSUMMARY Distributed acoustic sensing (DAS) is becoming increasingly popular in microseismic monitoring operations. This data acquisition technology converts fibre-optic cables into dense arrays of seismic sensors that can sample the seismic wavefield produced by active or passive sources with a high spatial density, over distances ...
Porras, Juan +10 more
openaire +4 more sources
Automatic location of surface-monitored microseismicity with deep learning
Earthquake Research AdvancesAccurate 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
Full-waveform Based Complete Moment Tensor Inversion and Stress Estimation from Downhole Microseismic Data for Hydrofracture Monitoring [PDF]
, 2011 Downhole microseismics has gained increasing popularity in recent years as a way to characterize hydraulic fracturing and to estimate in-situ stress state.
Song, Fuxian, Toksoz, M. Nafi
core
Full-waveform Based Microseismic Event Detection and Signal Enhancement: The Subspace Approach [PDF]
, 2013 Microseismic monitoring has proven to be an invaluable tool for optimizing hydraulic fracturing stimulations and monitoring reservoir changes. The signal to noise ratio (SNR) of the recorded microseismic data varies enormously from one dataset to another,
Kuleli, Huseyin Sadi +3 more
core
Microseismic Velocity Inversion Based on Deep Learning and Data Augmentation
Applied SciencesMicroseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent ...
Lei Li +5 more
doaj +1 more source
Slope stability monitoring from microseismic field using polarization methodology
, 2003 International audienceNumerical simulation of seismoacoustic emission (SAE) associated with fracturing in zones of shear stress concentration shows that SAE signals are polarized along the stress direction.
Goldin, S. V. +3 more
core +2 more sources
Hydraulic Fracturing Shear/Tensile/Compressive Crack Investigation Using Microseismic Data
Remote SensingIn 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
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Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings
SensorsAccurate 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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