Wang Linfei
Ocean University of China
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Featured researches published by Wang Linfei.
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.
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
Liu Huaishan; Zhou Luyang; Wang Linfei
The spatial resolving power for seismic trace before migration is usually estimated by the size or the extent of the first Fresnel zone. Based on the ray path theory, the first Fresnel zone only resolves the kinematics problems of wave propagation. So its unable to demonstrate those dynamics characteristic of wave propagation, especially in the complicated seismic wavefield. To obtain a better understanding of the concept of the spatial resolving power for unmigrated seismic data, we had better investigate the spatial resolving power for seismic trace using the theory of generalized diffraction. In this study, we derive the spatial resolving power formula for zero-offset seismic trace with the total response of generalized diffraction stack. And then we demonstrate how to estimate the spatial resolving power for zero-offset trace with the formula. The numerical modeling results confirm the validity of this formula and show that it can deal with the kinematics and dynamics problems of wave propagation in seismic wavefield.
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.
Archive | 2016
Xing Lei; Liu Huaishan; Wei Jia; Liu Hongwei; Wang Linfei; Gao Xiang; Li Weilin
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
Archive | 2016
Xing Lei; Liu Huaishan; Wei Jia; Liu Hongwei; Wang Linfei; Gao Xiang; Li Weilin
2015 AGU Fall Meeting | 2015
Wang Linfei
Zhongguo Haiyang Daxue Xuebao. Zirankexueban | 2014
Xu Bing; Liu Huaishan; Zhang Jin; Wang Linfei