Development of training image database for subsurface stratigraphy
Author:
Affiliation:
1. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore
2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, People’s Republic of China
Funder
Research
Shenzhen Science and Technology Innovation Commission
Publisher
Informa UK Limited
Subject
Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17499518.2023.2169942
Reference45 articles.
1. Multiple-Point Statistics for Training Image Selection
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3. A database approach for constraining stochastic simulations of the sedimentary heterogeneity of fluvial reservoirs
4. Spatial variability of in situ weathered soil
5. Dealing with spatial heterogeneity
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