Logging curve reconstruction based on multivariate feature fusion of Attribute Co- occurrence Relationships and BiLSTM
YunPeng Song,
XiaLin Zhang,
ZhangLin Li
et al.
Abstract:Logging data play an important role in resource exploration, but in actual production, the logging attributes are often distorted or missing, which affects the geological work based on logging data. In this paper, a multivariate feature fusion model is proposed to address the problem of insufficient extraction of the intrinsic correlation between logging attributes in the traditional logging curve reconstruction method. Analogous to the method of extracting texture features in images, the Gray-Level Co-occurre… Show more
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