利用Gassmann方程预测海底沉积物孔隙度

侯正瑜; 郭常升; 王景强; 付永涛; 李铁刚

doi:10.3799/dqkx.2016.097

Volume 41 Issue 7

Jul. 2016

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Hou Zhengyu, Guo Changsheng, Wang Jingqiang, Fu Yongtao, Li Tiegang, 2016. Using Gassmann Equation Predict Marine Sediment Porosity. Earth Science, 41(7): 1198-1205. doi: 10.3799/dqkx.2016.097

Citation:

Hou Zhengyu, Guo Changsheng, Wang Jingqiang, Fu Yongtao, Li Tiegang, 2016. Using Gassmann Equation Predict Marine Sediment Porosity. Earth Science, 41(7): 1198-1205. doi: 10.3799/dqkx.2016.097

Hou Zhengyu, Guo Changsheng, Wang Jingqiang, Fu Yongtao, Li Tiegang, 2016. Using Gassmann Equation Predict Marine Sediment Porosity. Earth Science, 41(7): 1198-1205. doi: 10.3799/dqkx.2016.097

Citation:

Hou Zhengyu, Guo Changsheng, Wang Jingqiang, Fu Yongtao, Li Tiegang, 2016. Using Gassmann Equation Predict Marine Sediment Porosity. Earth Science, 41(7): 1198-1205. doi: 10.3799/dqkx.2016.097

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Using Gassmann Equation Predict Marine Sediment Porosity

doi: 10.3799/dqkx.2016.097

Hou Zhengyu^{1,2,3
,},
Guo Changsheng^{1,2
,
,},
Wang Jingqiang⁴,
Fu Yongtao^1,2,
Li Tiegang^1,2

1.
Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
2.
Key Laboratory of Marine Geology and Environment, Chinese Academy of Sciences, Qingdao 266071, China
3.
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
4.
The First Institute of Oceanography, State Oceanic Adminstration, Qingdao 266071, China

Received Date: 2015-09-25
Publish Date: 2016-07-15

Abstract

Abstract

Porosity is one of the most important parameters for oil exploration and ocean topographic survey. The prediction of porosity in marine sediments has always been a difficulty. In this paper, the Gassmann equation was rearranged and utilized to estimate porosity based on the relationship between porosity and compressional wave velocity. The compressional wave velocity was measured on the deck based on the core samples collected in the southern South China Sea, and the porosity was measured in the laboratory. Porosity calculated using Gassmann equation was compared with that measured in laboratory. The results show that Gassmann equation can better predict the seafloor sediment porosity, and that is particularly accurate at shallow water areas. The sensitivity of Gassmann equation was studied by error norm method, and the results show that compressional wave velocity is the most influential parameter for porosity prediction.
- porosity,
- Gassmann equation,
- seafloor sediment,
- compressional wave velocity,
- petroleum geology,
- marine geology

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References(31)

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Using Gassmann Equation Predict Marine Sediment Porosity

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