HIGHLIGHTS
SUMMARY
Based on the necessities outlined in section "Relevance of the research topic", there is a demand to utilize a CNN in a way that makes it perform efficiently on scanned BCF core samples, automating both the detection of fractures and the extraction of their dip values. The goal was to construct a perceptive CNN model capable of recognizing open BCF fractures in scanned core samples. The architecture of a CNN contains complementary parts compared to a plain neural_network, as a CNN is designed to perform preliminary feature extraction, transform this information, and pass it . . .
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