The application of BP neural network algorithm to the prediction of terrestrial gas hydrate accumulation
Kang-Wei FU1, Xue-Qiang ZHANG1(), Yan PENG2
1. Institute of Geophysics and Geomatic,China University of Geosciences(Wuhan),Wuhan 430074,China 2. Institute of Geophysical and Geochemical Exploration,CAGS,Langfang 065000,China
During the exploration of terrestrial gas hydrates,Large quantities of geological, geophysical and geochemical data will be produced. The search for hydrate is of significance for effective combination of multi-source information with mathematical methods so as to establish a comprehensive information forecasting model. In this paper, the features which are favorable for gas hydrate accumulation were extracted from geological, geophysical and geochemical data in Muli area, and the corresponding transformation regularity was proposed. BP artificial neural network was used to do the study of gas hydrate prediction, and the effects of these two methods are compared and assessed. The results show that the prediction area is highly correlated with existing drilling result, suggesting that the methods are effective and the transformation regularity is feasible.
付康伟, 张学强, 彭炎. BP神经网络算法在陆域天然气水合物成藏预测中的应用[J]. 物探与化探, 2019, 43(3): 486-493.
Kang-Wei FU, Xue-Qiang ZHANG, Yan PENG. The application of BP neural network algorithm to the prediction of terrestrial gas hydrate accumulation. Geophysical and Geochemical Exploration, 2019, 43(3): 486-493.
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