空间数据挖掘在海域天然气水合物资源评价中的应用

    APPLICATION OF SPATIAL DATA MINING TO GAS HYDRATES RESOURCE EVALUTION

    • 摘要: 海域天然气水合物早期勘探阶段多使用地震调查方法,利用BSR和速度异常等指标圈定水合物矿体进行资源评价、优选预测勘探目标。阐明了空间数据挖掘技术在天然气水合物早期勘探评价阶段的应用,并通过珠江口盆地东部海域多道地震速度分析中所获速度异常信息,应用核密度估计方法,定量地划分了2个天然气水合物有利分布区(面积分别为18 km2和70 km2),进而为后期天然气水合物试采生产提供了重要依据及基础数据。

       

      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.

       

    /

    返回文章
    返回