Results 81 to 90 of about 1,776,592 (192)

Evaluating Fragmentation Detection in Block Caves Using Synthetic Muon Tomography

Geophysical Prospecting, Volume 74, Issue 7, September 2026.
ABSTRACT Muon tomography is a geophysical imaging technique with growing application across a range of geological and industrial settings. By observing the arrival of naturally occurring muons, it is possible to reconstruct subsurface density distributions in three dimensions.
M. A. McLean, R. Seikel, F. Scutti, A. R. Duffy   +3 more
wiley   +1 more source

Microseismic data

, 2020
This is the data set and label set of microseismic monitoring, including forward modeling seismic signals and measured microseismic ...
zhang, J (via Mendeley Data)
core   +2 more sources

Denoising method and application of microseismic signals for coal seam hydraulic fracturing based on deep neural network mode

Meitan xuebao
To address the challenges of low signal-to-noise ratio and difficulty in phase picking of microseismic signals induced by coal fracturing during hydraulic fracturing in coal seams, a deep neural network model based on a masking strategy is proposed (Mask
Quangui LI, Yulong ZHAO, Qianting HU, Yunpei LIANG, Wanjie SUN, Wenxi LI, Jinfei ZHAN, Jiangfu HE, Kun HE, Haiyu CHEN   +9 more
doaj   +1 more source

An Inflating Upper Mantle Magma Reservoir Beneath the Tip of the Condor Seamount, Azores Revealed by Rapid‐Response Ocean‐Bottom‐Seismometer Data

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Condor Seamount is among the most seismically active regions on the Azores Plateau. In December 2019, an earthquake crisis occurred at the tip of the seamount, which was strongly felt on nearby islands. Two months after the peak of the crisis, we deployed a local network of five ocean‐bottom seismometers around the seamount, recording ...
Yingchen Liu, Neil Mitchell, Dietrich Lange, Ingo Grevemeyer   +3 more
wiley   +1 more source

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,
Toksoz, M. Nafi, Warpinski, Norm R., Song, Fuxian, Kuleli, Huseyin Sadi   +3 more
core  

Conditional Diffusion Model for Robust 3-D Microseismic Event Localization from Noisy Waveforms

Locating microseismic events is crucial to monitoring fracking activities, CO2 injection, and reservoirs in general. However, the process of locating such events is challenging, especially in low signal-to-noise scenarios.
Wamriew, Daniel, Alkhalifah, Tariq Ali
core   +1 more source

Investigation of microseismic signal denoising using an improved wavelet adaptive thresholding method. [PDF]

Sci Rep, 2022
Zhang Z, Ye Y, Luo B, Chen G, Wu M.
europepmc   +1 more source

Identification of Microseismic Signals Based on Multiscale Singular Spectrum Entropy

Shock and Vibration, 2020
The accurate identification of effective microseismic events has great significance in the monitoring, early warning, and forecasting of rockburst hazards.
Xingli Zhang, Zhenhua Zhao, Ruisheng Jia, Lianyue Cao   +3 more
doaj   +1 more source

MA_W-Net-Based Dual-Output Method for Microseismic Localization in Strong Noise Environments

Applied Sciences
With the continuous depletion of conventional oil and gas reservoir resources, the beginning of exploration and development of unconventional oil and gas reservoir resources has led to the rapid development of microseismic monitoring technology ...
Qiang Li, Fengjiao Zhang, Liguo Han
doaj   +1 more source

Improved methods for detection and arrival picking of microseismic events with low signal-to-noise ratios

, 2016
Detection and arrival picking of microseismic events with low signal-to-noise ratios (S/N) are problematic because these events are usually obscured by ambient noise.
He, Chuan, Tan, Yuyang
core   +1 more source