Prediction Technology of a Reservoir Development Model While Drilling Based on Machine Learning and Its Application
Xin Wang,
Min Mao,
Yi Yang
et al.
Abstract:In order to further understand the complex spatial distribution caused by the extremely strong heterogeneity of buried hill reservoirs, this paper proposes a new method for predicting the development pattern of buried hill reservoirs based on the traditional pre-drilling prediction and post-drilling evaluation methods that mainly rely on seismic, logging, and core data, which are difficult to meet the timeliness and accuracy of drilling operations. Firstly, the box method and normalization formula are used to … Show more
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