Deep Crustal Structure of the Northern Part of Southwest Sub-Basin, South China Sea, From Ocean Bottom Seismic Data

2011 ◽  
Vol 54 (6) ◽  
pp. 1022-1032 ◽  
Author(s):  
Chuan-Chuan Lü ◽  
Tian-Yao HAO ◽  
Xue-Lin QIU ◽  
Ming-Hui ZHAO ◽  
Qing-Yu YOU
2004 ◽  
Vol 47 (5) ◽  
pp. 954-961 ◽  
Author(s):  
Ming-Hui ZHAO ◽  
Xue-Lin QIU ◽  
Chun-Ming YE ◽  
Kan-Yuan XIA ◽  
Ci-Liu HUANG ◽  
...  

2020 ◽  
Vol 91 (6) ◽  
pp. 3454-3468
Author(s):  
Seongjun Park ◽  
Tae-Kyung Hong

Abstract Microseisms in frequencies of 0.05–0.5 Hz are a presentation of solid earth response to the ocean waves that are developed by atmospheric pressure change. The South China Sea provides a natural laboratory with a closed ocean environment to examine the influence of regional factors on microseism development as well as the nature of microseisms. The microseisms induced by typhoons crossing over the South China Sea are investigated. Typhoons are typical transient sources of varying strengths and locations. Primary microseisms develop nearly stationary in the northeastern South China Sea for most typhoons, suggesting effective environment for excitation of primary microseisms. Typhoon-induced secondary microseisms develop around the typhoon paths with time delays varying up to one day. Typhoon-induced microseism amplitudes are proportional to the ocean-wave amplitudes in the source regions, decaying with distance. Ocean waves develop following the typhoons for days. The dominant frequency of typhoon-induced microseisms increases with time due to the influence of dispersive ocean waves. The microseisms are affected by regional factors including crustal structures, coastal geometry, ocean depth, and ocean-bottom topography.


2016 ◽  
Vol 17 (6) ◽  
pp. 2143-2167 ◽  
Author(s):  
Jinwei Gao ◽  
Shiguo Wu ◽  
Kirk McIntosh ◽  
Lijun Mi ◽  
Zheng Liu ◽  
...  

2011 ◽  
Vol 54 (6) ◽  
pp. 1009-1021 ◽  
Author(s):  
Xue-Lin QIU ◽  
Ming-Hui ZHAO ◽  
Wei AO ◽  
Chuan-Chuan Lü ◽  
Tian-Yao HAO ◽  
...  

2018 ◽  
Vol 6 (4) ◽  
pp. SO17-SO29 ◽  
Author(s):  
Yaneng Luo ◽  
Handong Huang ◽  
Yadi Yang ◽  
Qixin Li ◽  
Sheng Zhang ◽  
...  

In recent years, many important discoveries have been made in the marine deepwater hydrocarbon exploration in the South China Sea, which indicates the huge exploration potential of this area. However, the seismic prediction of deepwater reservoirs is very challenging because of the complex sedimentation, the ghost problem, and the low exploration level with sparse wells in deepwater areas. Conventional impedance inversion methods interpolate the low frequencies from well-log data with the constraints of interpreted horizons to fill in the frequency gap between the seismic velocity and seismic data and thereby recover the absolute impedance values that may be inaccurate and cause biased inversion results if wells are sparse and geology is complex. The variable-depth streamer seismic data contain the missing low frequencies and provide a new opportunity to remove the need to estimate the low-frequency components from well-log data. Therefore, we first developed a broadband seismic-driven impedance inversion approach using the seismic velocity as initial low-frequency model based on the Bayesian framework. The synthetic data example demonstrates that our broadband impedance inversion approach is of high resolution and it can automatically balance between the inversion resolution and stability. Then, we perform seismic sedimentology stratal slices on the broadband seismic data to analyze the depositional evolution history of the deepwater reservoirs. Finally, we combine the broadband amplitude stratal slices with the impedance inversion results to comprehensively predict the distribution of deepwater reservoirs. Real data application results in the South China Sea verify the feasibility and effectiveness of our method, which can provide a guidance for the future deepwater hydrocarbon exploration in this area.


2017 ◽  
Vol 53 (5) ◽  
pp. 2065-2083 ◽  
Author(s):  
Junjiang Zhu ◽  
Huilong Xu ◽  
Xuelin Qiu ◽  
Chunming Ye ◽  
Sanzhong Li

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