Voxel Modeling of Lithofacies using Voronoi Diagram based on Locations of a Large Number of Borehole Data
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- NONOGAKI Susumu
- Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology
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- MASUMOTO Shinji
- Graduate School of Science, Osaka City University
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- NEMOTO Tatsuya
- Graduate School of Science, Osaka City University
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- NAKAZAWA Tsutomu
- Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology
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- NAKAYAMA Toshio
- Civil Engineering Support and Training Center
Bibliographic Information
- Other Title
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- 大量のボーリングデータの位置情報に基づくボロノイ図を用いた 岩相ボクセルモデルの作成
- タイリョウ ノ ボーリングデータ ノ イチ ジョウホウ ニ モトズク ボロノイズ オ モチイタ ガンソウ ボクセルモデル ノ サクセイ
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Abstract
<p>Recently, a large number of borehole data created for public construction works have been available on the Web sites of the national/local governments as a machine-readable data. The purpose of this study is to develop a simple and easy method for constructing a voxel model which gives a good overview of the spatial distribution of geological information like lithofacies, to facilitate utilization of borehole data in geological analyses. In this paper, we have proposed a voxel modeling method of lithofacies on the basis of a large number of borehole data. The proposed method is designed to construct a voxel model with high-objectivity using lithofacies information stored in borehole data and Voronoi diagram calculated from locations of borehole data in a simple way. Test calculation to evaluate the proposed method was performed using about 3,100 borehole data in Setagaya area, Tokyo. In this test, we constructed a voxel model of lithofacies which has 8 categories and create its birds-eye view image and vertical/horizontal cross-section images. The results revealed that the voxel model gives a good overview of three-dimensional distribution of lithofacies. It is expected that the proposed method will improve efficiency of stratal correlation of borehole data in three-dimensional geological modeling.</p>
Journal
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- Geoinformatics
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Geoinformatics 31 (1), 3-10, 2020-03-25
Japan Society of Geoinformatics