Acquisition and Application of OBS Data on Identification of the Gas-bearing Reservoirs in Baiyun Deep-water Area of Northern South China Sea

2017 ◽  
Author(s):  
Jun Liu ◽  
Rushan Li* ◽  
Weiwei Zhang ◽  
Jie Liu ◽  
Yanhui Zhu ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
Water Area ◽  
China Sea ◽  
Deep Water Area ◽  
Obs Data ◽  
Gas Bearing

Acquisition and application of OBS data of Baiyun deep-water area of northern South China Sea

2017 ◽  
Author(s):  
Ming Zhu* ◽  
Chengzhi Yan ◽  
Weiwei Zhang ◽  
Yanpeng Zheng ◽  
Pengyao Zhi
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
Water Area ◽  
China Sea ◽  
Deep Water Area ◽  
Obs Data

The tectonic differences between the east and the west in the deep-water area of the northern South China Sea

2016 ◽  
Vol 35 (1) ◽  
pp. 86-95 ◽  
Author(s):  
Zhongyu Xia ◽  
Zhifeng Wan ◽  
Xianqing Wang ◽  
Qiuhua Shi ◽  
Song Cai ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
Water Area ◽  
The West ◽  
China Sea ◽  
Deep Water Area

New perspective of Miocene marine hydrocarbon source rocks in deep-water area in Qiongdongnan Basin of northern South China Sea

2012 ◽  
Vol 31 (5) ◽  
pp. 107-114 ◽  
Author(s):  
Wenhao Li ◽  
Zhihuan Zhang ◽  
Youchuan Li ◽  
Ning Fu
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
Water Area ◽  
Qiongdongnan Basin ◽  
Source Rocks ◽  
China Sea ◽  
New Perspective ◽  
Deep Water Area

Slope-confined submarine canyons in the Baiyun deep-water area, northern South China Sea: variation in their modern morphology

2016 ◽  
Vol 37 (2) ◽  
pp. 95-112 ◽  
Author(s):  
X. S. Li ◽  
Q. J. Zhou ◽  
T. Y. Su ◽  
L. J. Liu ◽  
S. Gao ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
Water Area ◽  
Submarine Canyons ◽  
China Sea ◽  
Deep Water Area

scholarly journals Differential extension and dynamic model of the deep-water area of the Pearl River Mouth Basin, northern South China Sea

2017 ◽  
Vol 2 (3) ◽  
pp. 191-200 ◽  
Author(s):  
Caili Lü ◽  
Gongcheng Zhang ◽  
Dongsheng Yang ◽  
Huijun Gao
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Northern South China Sea ◽  
River Mouth ◽  
Water Area ◽  
Pearl River ◽  
Pearl River Mouth Basin ◽  
Deep Water Area ◽  
The Pearl River

Comprehensive identification of CO2 nonhydrocarbon gas layers by relative CO2 content and apparent porosity calculated from well logs: A case study in the Baiyun deep-water area in the eastern South China Sea

2020 ◽  
Vol 8 (4) ◽  
pp. T715-T725
Author(s):  
Jin Feng ◽  
Bin Zhao ◽  
Chuqiao Gao ◽  
Lei Shi ◽  
Yao Guan ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Deep Water ◽  
Water Area ◽  
Relative Content ◽  
Apparent Porosity ◽  
China Sea ◽  
Identification Chart ◽  
Hydrocarbon Gas ◽  
Deep Water Area

The accurate identification of [Formula: see text] nonhydrocarbon gas layers plays an important role in the exploration and development of natural gas reservoirs. The logging response characteristics of layers containing nonhydrocarbon gas and hydrocarbon gas are very similar because there are gas fluids in both kinds of layers, which leads to the uncertainty in the interpretation results of gas types. We have developed a comprehensive method for the identification of [Formula: see text] nonhydrocarbon gas layers by using [Formula: see text]-relative content and apparent porosity. First, based on the formation component bulk volume model of the coexisting reservoir of the [Formula: see text] nonhydrocarbon gas layers and the hydrocarbon gas layers, we develop an optimization algorithm to quantitatively calculate the [Formula: see text] relative content in the reservoir. Second, by analyzing and determining the logging response value of the [Formula: see text] nonhydrocarbon gas under the formation temperature and pressure conditions, we establish a qualitative identification chart using the difference between the calculated value of the apparent porosity of [Formula: see text] and the hydrocarbon gas. Finally, we were able to accurately identify the [Formula: see text] nonhydrocarbon gas layers by comprehensively analyzing the calculation results of the [Formula: see text] relative content in the reservoir and the identification results of the [Formula: see text] apparent porosity identification chart. We apply the above workflow in the Baiyun deep-water area in the eastern South China Sea, and it shows high efficiency in the identification of [Formula: see text] nonhydrocarbon gas layers.

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