Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples

Research article (SPE Annual Technical Conference and Exhibition, 2019) · cited 11× · AI/ML
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Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples

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Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-processing-and-machine-learning-applied-to-lithology-identification-classification-and-quantification-of-thin-sect
MLA “Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-processing-and-machine-learning-applied-to-lithology-identification-classification-and-quantification-of-thin-sect.
BibTeX @misc{4ortxyz_image-processing-and-machine-learning-applied-to-lithology-identification-classification-and-quantification-of-thin-sect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image Processing and Machine Learning Applied to Lithology Identification, Classification and Quantification of Thin Section Cutting Samples}}, year = {2026}, url = {https://4ort.xyz/entity/image-processing-and-machine-learning-applied-to-lithology-identification-classification-and-quantification-of-thin-sect}, note = {Accessed: 2026-05-24}}
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