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Jiarui Xia and Yongshou Dai
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features. However, th...
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Xiaohu Luo, Kai Liu, Yanliang Pei, Chenguang Liu, Xishuang Li and Yibao Xiao
When marine deep-towed multichannel seismic data are processed, the description of the receiving array geometry significantly impacts the quality of the imaging profile. Therefore, achieving a highly precise description of the receiving array geometry is...
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Binghui Zhao, Liguo Han, Pan Zhang, Qiang Feng and Liyun Ma
In passive seismic exploration, the number and location of underground sources are very random, and there may be few passive sources or an uneven spatial distribution. The random distribution of seismic sources can cause the virtual shot recordings to pr...
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George Papazafeiropoulos and Vagelis Plevris
To facilitate the precise design of earthquake-resistant structures, it is imperative to accurately evaluate the impact of seismic events on these constructions and predict their responses. OpenSeismoMatlab, a robust, free ground motion data processing s...
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Nan Chen, Chun-Feng Li, Yong-Lin Wen, Peng Wang, Xiu-Lian Zhao and Xiao-Li Wan
In this study, we process four new multichannel reflection seismic profiles acquired in 2015 and 2016 in the continent?ocean transition zone (COT) of the northern South China Sea (SCS). We apply a multi-domain, progressive, and seabed-controlled denoisin...
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Qingzhou Lv, Wanzeng Liu, Ran Li, Hui Yang, Yuan Tao and Mengjiao Wang
Earthquake disaster assessment is one of the most critical aspects in reducing earthquake disaster losses. However, traditional seismic intensity assessment methods are not effective in disaster-stricken areas with insufficient observation data. Social m...
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Tianwei Lan, Zhaofa Zeng, Liguo Han and Jingwen Zeng
The neural network denoising technique has achieved impressive results by being able to automatically learn the effective signal from the data without any assumptions. However, it has been found experimentally that the performance of the method using neu...
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Paolo Dabove, Chiara Colombero and Andrea Salerno Quaroni
Analyses of climate change, due to its impact not only on the weather and the environment but also on human health and life, are one of the most important study activities made in recent years. There is relatively high confidence that glacial melt and he...
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Michal Stefaniuk, Adam Cygal, Tomasz Mackowski, Michal Martus, Piotr Hadro, Krzysztof Pieniadz and Anna Maria Wachowicz-Pyzik
The paper presents the problem of generation and validation of Velocity Interval Depth (VID) models with the application of non-seismic geophysical and geological data. The study area is a part of the Carpathian Foredeep located close to its contact with...
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Antonio Pasculli, Nicola Sciarra and Massimo Mangifesta
The values of the physical?mechanical properties of any soil are affected by uncertainties both due to experimental measurements and the impossibility of knowing them, in detail, at every point of the spatial domain. Accordingly, this work focuses on unc...
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