Comparative Assessment of U-Net-Based Deep Learning Models for Segmenting Microfractures and Pore Spaces in Digital Rocks

被引：0

作者：

Wang, Hongsheng ^{[1
]}

Guo, Ruichang ^{[1
]}

Dalton, Laura E. ^{[2
]}

Crandall, Dustin ^{[3
]}

Hosseini, Seyyed A. ^{[1
]}

Fan, Ming ^{[4
]}

Chen, Cheng ^{[5
]}

机构：

[1] Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas, Austin, United States

[2] Department of Civil and Environmental Engineering, Duke University, United States

[3] Research and Innovation Center, National Energy Technology Laboratory, United States

[4] Computational Sciences and Engineering Division, Oak Ridge National Laboratory, United States

[5] Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, United States

来源：

SPE Journal | / 29卷 / 11期

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D O I：

暂无

中图分类号：

学科分类号：

摘要：

Access control - Asphaltenes - Benchmarking - Computerized tomography - Image enhancement - Inverse problems - Network security - Petroleum reservoir evaluation - Photomapping - Rock mechanics - Steganography

引用

页码：5779 / 5791