Tong Siyou
Ocean University of China
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Featured researches published by Tong Siyou.
international conference on applied informatics and communication | 2011
Tong Siyou; Hao Wei; Liu Huaishan; Zhang Jin; Wang Linfei; Wang Shulun
The purpose of this paper is to fully understand the forming mechanism of multiple wave of the South Yellow Sea. According to W5-st1 well logging parameters and the processing profiles of the cross-well line,we established a geological model and carried out forward modeling studies.To carry out forward modeling studies by using elastic wave equation and considering the differences by changing conditions of the free surface.With the study results and the actual seismic data,we can fully aware the characteristics and forming mechanism of multiple wave of the sea area.
electronic and mechanical engineering and information technology | 2011
Jin Qunhao; Yan Zichao; Liu Xuewang; Ma Shuchao; Guo Taiyu; Tong Siyou
Exploration Seismology is a basic and important specialized subject of Geophysics in college. Its too hard to remember and understand so many concepts, processes and principles for students. And for teacher, the difficulties are how to explain these profound theories vividly in simple language. Based on this actual requirement, we developed the teaching simulation and demonstration software called OpenSE with Qt. As a GUI tool, it owns a powerful graphics library and cross-platform features that make “write once, compile anywhere” come true, so Qt becomes our preferred language to develop this set of software. Through our efforts, we complete the software, which greatly facilitate the teaching and student learning.
Journal of Geological Research | 2011
Liu Huaishan; Wang Fengfan; Tong Siyou; Li Gaolin; Zhang Hai-yan
In a certain frequency range, gas is an effective absorber and scatterer of sound, which changes the compressibility of water, and then changes the speed and frequency of sound. Gas continues rising, deforming, and dissolving. The same bubble of natural gas has different radii at different depths. By analyzing these changes, the resonance frequency of gas bubble, and its impacts on sound wave, characteristics of the influences of gas at different depths on the incident sound wave can be obtained. The main sound features of gas are relevant to the gas size, gas content, velocity, attenuation, resonance frequency, the scattering cross-section, and so forth. Sound models with hydrate and free gas in the water and sediment are established. Through the practical application to actual data, the sound characteristics yielded when the gas (or gas hydrate dissociation) escaped the water of seismic data are very clear.
international conference on geoscience and remote sensing | 2010
Tong Siyou; Wang Dongkai; Xu Xiugang; Liu Huaishan; Zhang Jin; Wang Linfei
With increasing difficulty and complexity of seismic exploration for oil and gas, high-density seismic exploration has been widely used as the main technology to increase oil and gas production. Pre-stack time migration technology in frequency-wavenumber domain use non-recursive pre-stack F-K time to achieve migration imaging by considering conditions of metastable phase in common offset domain. Compared with Kirchhoff pre-stack time migration, it has the characteristics of high imaging precision and the ability to process data in steep structure without producing operator aliasing. Model data and real data processing has verified that processing data by pre-stack F-K time migration method in high-density seismic exploration is correct, effective and practical.
international forum on information technology and applications | 2009
Zhang Jin; Liu Huaishan; Tong Siyou; Wang Linfei; Wang Ruimin
Sparker source is one of the non-explosive sources applied to marine seismic exploration. It loads electrical energy pre-storaged in the capacitor on the electrode in the water, then produces pulse pressure wave by discharge effect. But at the same time associated bubble effect occurs, which has greatly decreased the signal to noise ratio in marine seismic acquisition. This paper theoretically analyzes the mechanism and characteristics of bubbles effect and their adverse impact in marine seismic exploration.
international forum on information technology and applications | 2009
Tong Siyou; Wang Linfei; Liu Huaishan; Zhang Jin; Wang Ruimin
Marine seismic data are often contaminated by linear noise which has high amplitudes. The recorded noise degrade the quality of marine seismic data. To obtain the desirable data, we should suppress the noise with minimal impact on the desirable data. Considering the characteristics of the curvelet transform, we present a method of removal of the linear noise in the curvelet domain. The proposed method is tested on a synthetic shot record with strong linear noise. Also it’s tested on a real shot record. The denoising results prove that our proposed new method is a promising method of suppression of the linear noise.
international forum on computer science-technology and applications | 2009
Tong Siyou; Guo Lei; Liu Huaishan; Yin Yanxin; Zhang Jin; Wang Shu-hua
This paper studies the interpretation of high-resolution shallow seismic profile. Firstly, it is necessary to do some indoor fine processing to get a high quality profile, such as adaptive filtering, true amplitude recovery, tides differences and so on, especially the processes to remove the multiple waves. Based on the theory of seismic stratigraphic and combined with the previous survey data and drilling information, eight major targets are interpretated to describe quaternary sediment of this study area. Meanwhile, this paper analyzes the feature and the possible stratigraphic time of each layer. In addition, the database for interpreting is created by using the human-computer interaction way in a workstation, which makes the recognition of the characteristics of sedimentary layers much easy.
Archive | 2011
Wu Zhiqiang; Wu Shi-Guo; Tong Siyou; Liu Huaishan; Zhang Yi-Bo
Marine Geology Letters | 2004
Tong Siyou
SEG 2017 Workshop: OBN/OBC Technologies and Applications, Beijing, China, 4-6 September 2017 | 2017
Tong Siyou; Chen Ming; Li Linwei; Wang Linfei; Liu Huaishan