Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data

Chen Qiyu; Liu Gang; He Zhenwen; Zhang Xialin; Wu Chonglong

doi:10.19509/j.cnki.dzkq.2020.0407

Volume 39 Issue 4

Jul. 2020

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Article Navigation > Bulletin of Geological Science and Technology > 2020 > 39(4): 51-58

Chen Qiyu, Liu Gang, He Zhenwen, Zhang Xialin, Wu Chonglong. Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 51-58. doi: 10.19509/j.cnki.dzkq.2020.0407

Citation:

Chen Qiyu, Liu Gang, He Zhenwen, Zhang Xialin, Wu Chonglong. Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 51-58. doi: 10.19509/j.cnki.dzkq.2020.0407

Citation:

Chen Qiyu, Liu Gang, He Zhenwen, Zhang Xialin, Wu Chonglong. Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 51-58. doi: 10.19509/j.cnki.dzkq.2020.0407

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Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data

doi: 10.19509/j.cnki.dzkq.2020.0407

Chen Qiyu^{1a, 1b
,},
Liu Gang^{1a, 1b, 2},
He Zhenwen^{1a, 1b},
Zhang Xialin^{1a, 1b, 2},
Wu Chonglong^{1a, 1b, 2}

Received Date: 18 Nov 2019

Abstract

Abstract

The goal of three-dimensional (3D) geological modeling not only realizes the visual expression of geological objects, but also achieves the aggregation, management, mining, analysis and sharing of geological big data. However, traditional methods and techniques are difficult to achieve structural-attribute integrated 3D geological modeling and coupled expression that considers geological semantics. Although multiple-point geostatistical methods facilitate the fusion modeling of multiple-source data, geological prior knowledge, and structure-attribute, they are still limited by the insufficient expression ability of data models, the difficulty in obtaining the 3D training images, and the non-stationary phenomenon. For geological big data, this papaper discusses throughly the spatial data model, the multiple-point geostatistics-based structure-attribute integrated modeling method, and the framework of integration and management for geological big data with a unified 3D geological model. We believe that ① developing new unified spatial data models for geological structure-attribute coupling expression, ② exploring knowledge-driven and data-driven collaborative 3D geological structure-attribute integrated modeling technologies, ③ constructing a visual environment and operation platform for the aggregation, integration, management, mining and analysis of geological big data, will be the research hotspots and the frontier directions in the field of 3D geological modeling in the future.
- geological big data,
- 3D geological modeling,
- unified data model,
- structure-attribute integrated,
- multiple-point geostatistics

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References(72)

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Current situation and prospect of structure-attribute integrated 3D geological modeling technology for geological big data

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