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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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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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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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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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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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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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Vanni Nicoletti, Riccardo Martini, Sandro Carbonari and Fabrizio Gara
Many transportation infrastructures all around the world are facing new challenges in terms of ageing and loss of performance. The infrastructural asset managers are required to perform scrupulous control of the health condition of the infrastructures ov...
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Artem A. Krylov, Mikhail A. Novikov, Sergey A. Kovachev, Konstantin A. Roginskiy, Dmitry A. Ilinsky, Oleg Yu. Ganzha, Vladimir N. Ivanov, Georgy K. Timashkevich, Olga S. Samylina, Leopold I. Lobkovsky and Igor P. Semiletov
This paper is devoted to the features of seismological observations in the Arctic seas, which are complicated by harsh climatic conditions, the presence of ice cover, stamukhi and icebergs, and limited navigation. Despite the high risk of losing expensiv...
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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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