Seismic denoising - Open Access .click

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Seismic attenuation in Faroe Islands basalts [PDF]

We analysed vertical seismic profiling (VSP) data from two boreholes at Glyvursnes and Vestmanna on the island of Streymoy, Faroe Islands, to determine the magnitude and causes of seismic attenuation in sequences of basalt flows.
Worthington, M. H. +5 more
core +1 more source

Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously

Remote Sensing
In light of the challenging conditions of exploration environments coupled with escalating exploration expenses, seismic data acquisition frequently entails the capturing of signals entangled amidst diverse noise interferences and instances of data loss.
Mu Ding, Yatong Zhou, Yue Chi
doaj +1 more source

Performance evaluation of Wied Dalam (WDD) seismic station in Malta [PDF]

, 2014
The continual operation of a permanent seismograph, now exceeding a couple of decades in some cases, naturally involves changes of hardware and software over time.
Panzera, Francesco +3 more
core +1 more source

Seismic random noise attenuation using modified wavelet thresholding

Annals of Geophysics, 2017
In seismic exploration, random noise deteriorates the quality of acquired data. This study analyzed existing denoising methods used in seismic exploration from the perspective of random noise. Wavelet thresholding offers a new approach to reducing random
Qi-sheng Zhang +5 more
doaj +1 more source

Anisotropic Total Fractional Order Variation Model in Seismic Data Denoising

, 2018
In seismic data processing, attenuation of random noise is the basic step to improve quality of data for further application of seismic data in exploration and development in different gas and oil industries.
Diriba Gemechu, Jianwei Ma
core +1 more source

The North East Italy (NI) broadband seismic network run by OGS: experience in improving the long period performances

, 2009
The NI broadband seismic network is designed to monitor regional seismic activity of North East Italy and surroundings as well as to provide high quality data for various research projects in regional and global broadband seismology, like moment tensor
Pesaresi, D., CRS seismic team
core +2 more sources

Geophysical data denoising using dictionary learning method with Ramanujan sums for oil and minerals exploration

Artificial Intelligence in Geosciences
Denoising is an important preprocessing step in seismic exploration that improves the signal-to-noise ratio (SNR) and helps identify oil and minerals. Dictionary learning (DL) is a promising method for noise attenuation.
Lakshmi Kuruguntla +5 more
doaj +1 more source

Denoising ambient seismic field correlation functions with convolutional autoencoders

, 2020
Seismic interferomestry is an established method for monitoring the temporal evolution of the Earth's physical properties. We introduce a new technique to improve the precision and temporal resolution of seismic monitoring studies based on deep learning.
Chris Van Houtte, Loïc Viens
core +1 more source

Unsupervised Multi-Stage Deep Learning Network for Seismic Data Denoising

Seismic data denoising plays an essential role at various stages of the seismic processing workflow. However, it is always a challenge to find the right balance between preserving the seismic signals and attenuating the seismic noise.
Ravasi, Matteo, Alkhalifah, Tariq Ali, Saad, Omar M. +2 more
core +1 more source

Seismic Evaluation and Retrofit of Concrete Buildings Volume 1

, 1996
Buku ini terdiri atas dua volume, dimana volume pertama membahas tentang bagian-bagian utama dari metodologi evaluasi dan retrofit. Buku akan membantu pembaca untuk memahami bagaimana melakukan evaluasi seismik terhadap bangunan.xix, 317 p. : ill. ; 28,5
Seismic Safety Commission, Comartin, Craig D. +1 more
core

deep learning
denoising
random noise

seismic data
noise suppression
seismic data denoising

self-supervised learning
noise reduction