Abstract
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.
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