In order to improve the ability of data mining and information scheduling for the best replacement rate of seabed natural gas hydrate under geological and hydrological conditions, an optimization algorithm for estimating the best replacement rate of seabed natural gas hydrate is proposed. By using piecewise linear estimation method, the characteristic data of submarine gas hydrate database are grouped and reconstructed, and the optimal replacement rate of submarine gas hydrate in the database is fused with related information. According to the spatial distribution of geological and hydrological conditions, the optimal replacement rate of submarine gas hydrate is adaptively dispatched. The optimal replacement rate of submarine gas hydrate is extracted by frequent item mining method, and the extracted optimal replacement rate of submarine gas hydrate is processed in turn. Finally, the unbiased estimation of the optimal replacement rate of submarine gas hydrate is realized by using regularized power spectrum estimation method. The experimental results show that the design method has small deviation and high accuracy in estimating the best substitution rate of submarine natural gas hydrate.

为提高地质水文条件下海底天然气水合物最佳置换率的数据挖掘和信息调度能力，提出了一种估算海底天然气水合物最佳置换率的优化算法。通过分段线性估计的方法，对海底天然气水合物数据库的特征数据进行分组和重构，并将数据库中海底天然气水合物的最佳置换率与相关信息融合。根据地质和水文条件的空间分布，自适应调度海底天然气水合物的最佳置换率。通过频繁项开采法提取海底天然气水合物的最佳置换率，依次处理提取的海底天然气水合物的最佳置换率。最后，采用正则化功率谱估计方法实现了海底天然气水合物最佳置换率的无偏估计。实验结果表明，该设计方法在估算海底天然气水合物的最佳替代率方面偏差小，准确度高。