APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION

LIN Lin; ZHANG Wei; CHEN Hongwen; GUO Yiqun; GONG Yuehua; LIANG Jinqiang

doi:10.16028/j.1009-2722.2018.11006

2018 Vol. 34, No. 11

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Article navigation > Marine Geology Frontiers > 2018 > 34(11): 41-45

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LIN Lin, ZHANG Wei, CHEN Hongwen, GUO Yiqun, GONG Yuehua, LIANG Jinqiang. APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION[J]. Marine Geology Frontiers, 2018, 34(11): 41-45. doi: 10.16028/j.1009-2722.2018.11006

Citation:

LIN Lin, ZHANG Wei, CHEN Hongwen, GUO Yiqun, GONG Yuehua, LIANG Jinqiang. APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION[J]. Marine Geology Frontiers, 2018, 34(11): 41-45. doi: 10.16028/j.1009-2722.2018.11006

APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION

Guangzhou Marine Geological Survey, CGS, Guangzhou 510760, China; Key Laboratory of Marine Mineral Resources, Ministry of Natual Resource, Guangzhou 510760, China

Received Date: 20 June 2018

Publish Date: 28 November 2018

Abstract

Abstract

In the early stage of gas hydrates exploration, seismic through identification of BSR and abnormal seismic velocity is the common method for resource potential assessment. In this article, we will introduce the method of spatial data mining into the evaluation of gas hydrates resource. Upon the kernel density estimation made for seismic velocity data, we quantitatively defined two potential gas hydrates provinces, which are 18 km² and 70 km² in areas respectively in the east of Pearl River Mouth Basin, the South China Sea. The results are proved significant for further investigation or production test of gas hydrates in this area.
- gas hydrates /
- resource evaluation /
- velocity analysis /
- spatial data mining /
- kernel density estimation

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References

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