APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION
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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.
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