Automated material classification by structural features

A method, apparatus, and program product perform microstructure analysis of a digital image of rock using a trained convolutional neural network model to generate a plurality of rock features. The rock features can represent a pore space in the microstructure of the rock including pores and throats....

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Nadeev, Alexander, Starostin, Alexander
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A method, apparatus, and program product perform microstructure analysis of a digital image of rock using a trained convolutional neural network model to generate a plurality of rock features. The rock features can represent a pore space in the microstructure of the rock including pores and throats. In many implementations, a statistical process can be applied to the rock features to generate characteristics of the pore space which can be used in classifying the rock.