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What is Automated Well Log Depth Alignment Using SNN about?

This paper presents a novel approach for automated depth alignment of well logs using a Siamese Neural Network (SNN), which enhances geological similarity between reference and unsynchronized logs without the need for labeled data. The method significantly improves alignment accuracy, outperforming traditional cross-correlation techniques, and is tested on gamma-ray logs from various wells in the Norwegian North Sea. The SNN architecture allows for efficient processing of multimodal data and addresses chall

Author

287829485

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EN