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Effectiveness of Neural Kriging for Three-Dimensional Modeling of Sparse and Strongly Biased Distribution of Geological Data with Application to Seafloor Hydrothermal Mineralization |
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| Authors: | Koike Katsuaki Yono Oak de Sá Vitor Ribeiro Tomita Shohei Albert Nozaki Tatsuo Takaya Yutaro Komori Shogo |
| Institution: | 1.Department of Urban Management, Graduate School of Engineering, Kyoto University, Katsura, Kyoto, 615-8540, Japan ;2.Ocean High Technology Institute, Inc, Nakano-ku, Tokyo, 164-0012, Japan ;3.Submarine Resources Research Center, Research Institute for Marine Resources Utilization, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Kanagawa, 237-0061, Japan ;4.Frontier Research Center for Energy and Resources (FRCER), School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan ;5.Department of Planetology, Graduate School of Science, Kobe University, Kobe, Hyogo, 657-8501, Japan ;6.Ocean Resources Research Center for Next Generation, Chiba Institute of Technology, Narashino, Chiba, 275-0016, Japan ;7.Department of Systems Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan ;8.Faculty of Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, 169-8555, Japan ;9.Research Institute of Geo-Resources and Environment, Geological Survey of Japan (AIST), Tsukuba, Ibaraki, 305-8567, Japan ; |
| Abstract: | Mathematical Geosciences - Three-dimensional modeling of geoscientific data of limited amounts and strongly biased locations is difficult and impractical using almost any method. To obtain a... |
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