Results 1 to 10 of about 22,545,449 (395)
Strong Interference Elimination in Seismic Data Using Multivariate Variational Mode Extraction [PDF]
SensorsSeismic data acquired in the presence of mechanical vibrations or power facilities may be contaminated by strong interferences, significantly decreasing the data signal-to-noise ratio (S/N).
Zhichao Yu, Yuyang Tan, Yiran Lv
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Seismic-py: Reading Seismic Data with Python [PDF]
, 2008 The field of seismic exploration of the Earth has changed dramatically over the last half a century. The Society of Exploration Geophysicists (SEG) has worked to create standards to store the vast amounts of seismic data in a way that will be portable ...
Schwehr, Kurt
core +3 more sources
The effect of 2020 COVID-19 lockdown measures on seismic noise recorded in Romania [PDF]
Solid Earth, 2021 After the World Health Organization declared COVID-19 a pandemic in March 2020, Romania followed the example of many other countries and imposed a series of restrictive measures, including restricting people's mobility and closing social, cultural, and ...
B. Grecu +7 more
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Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion
Remote Sensing, 2023 Low frequencies are vital for full-waveform inversion (FWI) to retrieve long-scale features and reliable subsurface properties from seismic data. Unfortunately, low frequencies are missing because of limitations in seismic acquisition steps. Furthermore,
Zhiyuan Gu, Xintao Chai, Taihui Yang
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A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation
Remote Sensing, 2022 Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been
Haixia Zhao, Tingting Bai, Zhiqiang Wang
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Energies, 2022 We compare sediment vertical methane flux off the Mahia Peninsula, on the Hikurangi Margin, east of New Zealand’s North Island, with a combination of geochemical, multichannel seismic and sub-bottom profiler data.
Richard B. Coffin +5 more
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Frontiers in Earth Science, 2022 This study proposes a high-resolution processing technique for seismic data based on the improved synchrosqueezing transform (SST). The SST rearranges the complex spectrum of the wavelet transform along the frequency axis.
Chen Yu, Shuyan Wang, Lifang Cheng
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Remote Sensing, 2023 The high-resolution Moho depth model is required in various geophysical studies. However, the available models’ resolutions could be improved for this purpose.
Arash Dashtbazi +3 more
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2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 The focal mechanism of an earthquake and fault plane solutions provide insight into the geology of an area. The objective of this paper is to give a means of better understanding fault movement when an earthquake occurs. In this paper we present an interactive 3D visualisation of possible fault plane solutions, which are usually represented as 2D ...
Ivančić, Matejka +2 more
openaire +4 more sources
Deep Convolutional Neural Network With Attention Module for Seismic Impedance Inversion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Seismic inversion is an approach to obtain the physical properties of the Earth layers from the seismic data, which aids in reservoir characterization. In seismic inversion, spatially variable physical parameters, such as impedance ($Z$), wave velocities
Vineela Chandra Dodda +4 more
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