Petrographic microfacies classification with deep convolutional neural networks

Volume: 142, Pages: 104481 - 104481
Published: Sep 1, 2020
Abstract
Petrographic analysis is based on the microscopic description and classification of rocks and is a crucial technique for sedimentary and diagenetic studies. When compared to hand specimens, thin sections provide better and more accurate means for analysis of mineral proportion, distribution, texture, pore space analysis, and cement composition. Most petrographic analysis relies on visual inspection of rock thin sections under a microscope, a...
Paper Details
Title
Petrographic microfacies classification with deep convolutional neural networks
Published Date
Sep 1, 2020
Volume
142
Pages
104481 - 104481
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