Lithology identification algorithm of cuttings based on one-dimensional convolutional neural network for mineral element content data-Reference-Cited by-同舟云学术

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Lithology identification algorithm of cuttings based on one-dimensional convolutional neural network for mineral element content data

Published:2023-10-17 Issue: Volume: Page:
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Container-title:Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023)
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Author:

Yan Ronghui,Huang Zijian,Fang Tieyuan,Wang Haitao,Li Chen

Publisher

SPIE

Reference16 articles.

1. Modern petroleum mud logging technology system,” Mud Logging Engineering;Liu,2015

2. Instrumental characterization of clay by XRF, XRD and FTIR

3. Identification of the lithology in tight sandstone reservoir in Sulige gas field based on SVM optimized by cross validation;Wang;China’s Manganese Industry,2016

4. One-class SVM for learning in image retrieval;Chen,2001

5. Study on rock drillability evaluation by elements’ contents in cuttings;Li;Drilling & Production Technology,2018

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