Results 81 to 90 of about 23,608,882 (224)

Introduction to this special section: Microseismic

, 2017
This month in The Leading Edge, we present a selection of papers on microseismic technology that captures recent trends in microseismic data processing, acquisition, and interpretation.
Julie Shemeta, James Rutledge
core   +1 more source

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

Microseismic data of the HDR injection test

<p>Microseismic data associated with the submitted paper on HDR injection test</p ...
Xie, Jingyu, Zhao, Zhengguang, Li, Lei
core   +1 more source

Fast first arrival picking algorithm for noisy microseismic data

, 2017
Most microseismic events occur during hydraulic fracturing. Thus microseismic monitoring, by recording seismic waves from microseismic events, is one of the best methods for locating the positions of hydraulic fractures.
변중무
core   +1 more source

Deep convolutional neural network for microseismic signal detection and classification

, 2020
Reliable automatic microseismic waveform detection with high efficiency, precision, and adaptability is the basis of stability analysis of the surrounding rock mass. In this paper, a convolutional neural network (CNN)-based microseismic detection network
Pazzi V., Li T., Casagli N., Ma C., Zhang H.   +4 more
core   +1 more source

Adaptive microseismic noise estimation and denoising

, 2016
Microseismic data recorded by surface arrays are often strongly contaminated by unwanted random noise. This background noise makes the detection of small magnitude events difficult.
Seyed Mostafa Mousavi, Langston, Charles A., Mousavi, S. Mostafa, Charles Langston   +3 more
core   +1 more source

A semblance-based microseismic event detector for DAS data

Geophysical Journal International
SUMMARY 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, Pecci, Davide, Bocchini, Gian Maria, Gaviano, Sonja, De , Solda, Michele, Tuinstra, Katinka, Lanza, Federica, Tognarelli, Andrea, Stucchi, Eusebio, Grigoli, Francesco   +10 more
openaire   +4 more sources

Adaptive filtering of microseismic data for monitoring a water-conducting fractured zone in a mine. [PDF]

Sci Rep, 2022
Li H, Han L, Dong D.
europepmc   +1 more source

Mine microseismic and electrical coupling monitoring technology

Meitan xuebao
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.
Shengdong LIU, Cai YANG, Jun ZHANG, Chunyang LI, Chuan REN   +4 more
doaj   +1 more source

Deep Neural Networks for Detection and Location of Microseismic Events and Velocity Model Inversion from Microseismic Data Acquired by Distributed Acoustic Sensing Array. [PDF]

Sensors (Basel), 2021
Wamriew D, Pevzner R, Maltsev E, Pissarenko D.   +3 more
europepmc   +1 more source