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Dive into the research topics where Huaishan Liu is active.

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Featured researches published by Huaishan Liu.


international congress on image and signal processing | 2009

High Resolution Radon Transform and its Applications in Multiple Suppression of Seismic Data in Deep-Sea

Siyou Tong; Ruimin Wang; Huaishan Liu; Jin Zhang; Changcheng Bu

The multiple reflections develop in deep-sea. Especially in rough deep-sea bottom, the multiple is more complicated. Conventional radon transform filtering has its deficiency, and the effection is not obvious in multiple suppressing of seismic data in deep-sea. In order to achieve high resolution radon transform, this paper proposes an improved method. This method is able to build a very good model of multiple reflections, then suppress the multiples, overcome the deficiency by conventional radon transform. To verify the efficiency of this method, the rough deep seafloor model was established. By using this method, good results were obtained. At the same time, the method has been applied to process many real deep-sea seismic data, the highprecision seismic data profile was gained and obvious effects of application were achieved. KeywordsRadon Transform;high resolution; multiple suppression


international conference on wireless communications, networking and mobile computing | 2009

The Improvement of Ant Colony Algorithm and Its Application to TSP Problem

Jin Zhang; Huaishan Liu; Siyou Tong; Ling Wang

The researches and applications on ant colony algorithm have made great progress in recent years. A number of results have proved the validity of the algorithm and its advantages in some fields. However, its basic shortcomings, which are long searching time and easily jumping into local optimal solution, have not been completely solved. This paper analyzes the reasons of stagnation and then introduces a new solution for avoiding stagnation, which includes the direct exchange of pheromone of some edges and dynamically setting evaporation rate for each edge. The simulation results demonstrate that the above approach is reasonable and efficient.


Journal of Ocean University of China | 2016

Seismic acquisition parameters analysis for deep weak reflectors in the South Yellow Sea

Kai Liu; Huaishan Liu; Zhiqiang Wu; Long Yue

The Mesozoic-Paleozoic marine residual basin in the South Yellow Sea (SYS) is a significant deep potential hydrocarbon reservoir. However, the imaging of the deep prospecting target is quite challenging due to the specific seismic-geological conditions. In the Central and Wunansha Uplifts, the penetration of the seismic wavefield is limited by the shallow high-velocity layers (HVLs) and the weak reflections in the deep carbonate rocks. With the conventional marine seismic acquisition technique, the deep weak reflection is difficult to image and identify. In this paper, we could confirm through numerical simulation that the combination of multi-level air-gun array and extended cable used in the seismic acquisition is crucial for improving the imaging quality. Based on the velocity model derived from the geological interpretation, we performed two-dimensional finite difference forward modeling. The numerical simulation results show that the use of the multi-level air-gun array can enhance low-frequency energy and that the wide-angle reflection received at far offsets of the extended cable has a higher signal-to-noise ratio (SNR) and higher energy. Therefore, we have demonstrated that the unconventional wide-angle seismic acquisition technique mentioned above could overcome the difficulty in imaging the deep weak reflectors of the SYS, and it may be useful for the design of practical seismic acquisition schemes in this region.


Journal of Earth Science | 2015

Retrieving drill bit seismic signals using surface seismometers

Linfei Wang; Huaishan Liu; Siyou Tong; Yanxin Yin; Lei Xing; Zhihui Zou; Xiugang Xu

Seismic while drilling (SWD) is an emerging borehole seismic imaging technique that uses the downhole drill-bit vibrations as seismic source. Without interrupting drilling, SWD technique can make near-real-time images of the rock formations ahead of the bit and optimize drilling operation, with reduction of costs and the risk of drilling. However, the signal to noise ratio (SNR) of surface SWD-data is severely low for the surface acquisition of SWD data. Here, we propose a new method to retrieve the drill-bit signal from the surface data recorded by an array of broadband seismometers. Taking advantages of wavefield analysis, different types of noises are identified and removed from the surface SWD-data, resulting in the significant improvement of SNR. We also optimally synthesize seismic response of the bit source, using a statistical cross-coherence analysis to further improve the SNR and retrieve both the drill-bit direct arrivals and reflections which are then used to establish a reverse vertical seismic profile (RVSP) data set for the continuous drilling depth. The subsurface images derived from these data compare well with the corresponding images of the three-dimension surface seismic survey cross the well.


Journal of Ocean University of China | 2018

Application of seismic interferometric migration for shallow seismic high precision data processing: A case study in the Shenhu area

Jia Wei; Huaishan Liu; Lei Xing; Dong Du

The stability of submarine geological structures has a crucial influence on the construction of offshore engineering projects and the exploitation of seabed resources. Marine geologists should possess a detailed understanding of common submarine geological hazards. Current marine seismic exploration methods are based on the most effective detection technologies. Therefore, current research focuses on improving the resolution and precision of shallow stratum structure detection methods. In this article, the feasibility of shallow seismic structure imaging is assessed by building a complex model, and differences between the seismic interferometry imaging method and the traditional imaging method are discussed. The imaging effect of the model is better for shallow layers than for deep layers because coherent noise produced by this method can result in an unsatisfactory imaging effect for deep layers. The seismic interference method has certain advantages for geological structural imaging of shallow submarine strata, which indicates continuous horizontal events, a high resolution, a clear fault, and an obvious structure boundary. The effects of the actual data applied to the Shenhu area can fully illustrate the advantages of the method. Thus, this method has the potential to provide new insights for shallow submarine strata imaging in the area.


Journal of Ocean University of China | 2018

Pre-drilling prediction techniques on the high-temperature high-pressure hydrocarbon reservoirs offshore Hainan Island, China

Hanyu Zhang; Huaishan Liu; Shiguo Wu; Jin Sun; Chaoqun Yang; Yangbing Xie; Chuanxu Chen; Jinwei Gao; Jiliang Wang

Decreasing the risks and geohazards associated with drilling engineering in high-temperature high-pressure (HTHP) geologic settings begins with the implementation of pre-drilling prediction techniques (PPTs). To improve the accuracy of geopressure prediction in HTHP hydrocarbon reservoirs offshore Hainan Island, we made a comprehensive summary of current PPTs to identify existing problems and challenges by analyzing the global distribution of HTHP hydrocarbon reservoirs, the research status of PPTs, and the geologic setting and its HTHP formation mechanism. Our research results indicate that the HTHP formation mechanism in the study area is caused by multiple factors, including rapid loading, diapir intrusions, hydrocarbon generation, and the thermal expansion of pore fluids. Due to this multi-factor interaction, a cloud of HTHP hydrocarbon reservoirs has developed in the Ying-Qiong Basin, but only traditional PPTs have been implemented, based on the assumption of conditions that do not conform to the actual geologic environment, e.g., Bellotti’s law and Eaton’s law. In this paper, we focus on these issues, identify some challenges and solutions, and call for further PPT research to address the drawbacks of previous works and meet the challenges associated with the deepwater technology gap. In this way, we hope to contribute to the improved accuracy of geopressure prediction prior to drilling and provide support for future HTHP drilling offshore Hainan Island.


Journal of Ocean University of China | 2018

Sensitivity analysis of P-waves and S-waves to gas hydrate in the Shenhu area using OBS

Lei Xing; Xueqin Liu; Jin Zhang; Huaishan Liu; Jing Zhang; Zizheng Li; Jianhua Wang

Compared to towed streamers, ocean-bottom seismometers (OBS) obtain both S-wave data and richer wavefield information. In this paper, the induced polarization method is used to conduct wavefield separation on OBS data obtained from the Shenhu area in the South China Sea. A comparison of the changes in P- and S-waves, and a comprehensive analysis of geological factors within the area, enable analysis and description of the occurrence of natural gas hydrate in the study area. Results show an increase in P-wave velocity when natural gas hydrate exists in the formation, whereas the S-wave velocity remains almost constant, as S-waves can only propagate through the rock skeleton. Therefore, the bottom-simulating reflection (BSR) response of the P-wave is better than that of the S-wave in the frequency analysis profile. In a wide-angle section, the refractive wave of the hydrate layer is evident when using P-wave components but identification is difficult with S-wave components. This velocity model illustrates the sensitivity of P- and S-wave components to gas hydrate. The use of this polarization method and results of analysis provide technical and theoretical support for research on hydrate deposits and other geological features in the Shenhu area.


Journal of Earth Science | 2015

Estimation of Elastic Parameters Using Two-Term Fatti Elastic Impedance Inversion

Jin Zhang; Huaishan Liu; Siyou Tong; Lei Xing; Xiangpeng Chen; Chaoguang Su

Elastic impedance (EI) inversion has been widely used in industry to estimate kinds of elastic parameters to distinguish lithology or even fluid. However, it is found that conventional three-term elastic impedance formula is unstable even with slight random noise in seismic data, due to the ill-conditioned coefficient matrix of elastic parameters. We presented two-term Fatti elastic impedance inversion method, which is more robust and accurate than conventional three-term elastic impedance inversion. In our method, density is ignored to increase the robustness of inversion matrix. Besides, P-impedance and S-impedance, which are less sensitive to random noise, are inverted instead of VP and VS in conventional three-term elastic impedance. To make the inversion more stable, we defined the range of K value as a constraint. Synthetic tests claim that this method can obtain promising results with low SNR (signal noise ratio) seismic data. With the application of the method in a 2D line data, we achieved λρ, μρ and VP/VS sections, which matched the drilled well perfectly, indicating the potential of the method in reservoir prediction.


Journal of Ocean University of China | 2013

Shallow water body data processing based on the seismic oceanography

Huaishan Liu; Yi Hu; Yanxin Yin; Linfei Wang; Siyou Tong; Hai Ma

Physical properties of sea water, such as salinity, temperature, density and acoustic velocity, could be demarcated through degradation of energy caused by water absorption, attenuation and other factors. To overcome the challenging difficulties in the quick monitoring of these physical properties, we have explored the high resolution marine seismic survey to instantly characterize them. Based on the unique wavefield propagating in the sea water, we have developed a new approach to suppress the noise caused by the shallow sea water disturbance and obtain useful information for estimating the sea water structure. This approach improves seismic data with high signal-to-noise ratio and resolution. The seismic reflection imaging can map the sea water structure acoustically. Combined with the knowledge of local water body structure profile over years, the instant model for predicting the sea water properties could be built using the seismic data acquired from the specially designed high precision marine seismic acquisition. This model can also be updated with instant observation and the complete data processing system. The present study has the potential value to many applications, such as 3D sea water monitoring, engineering evaluation, geological disaster assessment and environmental assessment.


Studia Geophysica Et Geodaetica | 2018

Velocity anisotropy characteristics and pre-stack time migration imaging of the marine sedimentary strata in the South Yellow Sea Basin

Di Luo; Zhiqiang Wu; Tianjiu Zeng; Xunhua Zhang; Weina Zhao; Huaishan Liu; Guolin Xiao

The South Yellow Sea is a superimposed basin overlying Mesozoic-Cenozoic continental sediments, which in turn overlie Paleozoic-Mesozoic marine deposits that are now the target of hydrocarbon exploration. Strongly modified by multiple tectonic events, the marine sediments feature a large tectonic relief, with obvious horizontal anisotropy in seismic velocity, which significantly affects the seismic image quality. In this study, the sedimentary velocity anisotropy and its influence on image quality were analyzed using an analytical theory method, assuming transversely isotropic medium with vertical axis of symmetry (VTI), and using seismic and well-log data. Additionally, an anisotropic prestack time migration was used for the imaging of the field data. The results showed that the anisotropic pre-stack time migration processing could be used to significantly improve the accuracy of the seismic images in areas with distinct faults, offering clear images of accurately located fault planes and fault edges, thereby improving the lateral resolution of the seismic data and its signal-to-noise ratio.

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Siyou Tong

Ocean University of China

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Jin Zhang

Ocean University of China

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Lei Xing

Ocean University of China

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Linfei Wang

Ocean University of China

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Xueqin Liu

Ocean University of China

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Yanxin Yin

Ocean University of China

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Zhihui Zou

Ocean University of China

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Kai Liu

State Oceanic Administration

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Shuguo Cui

Ocean University of China

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