2025 Vol. 44, No. 6
Article Contents

ZHANG Yongwang, PANG Shilong, Hua Weihua, ZHANG Wen, DUAN Jianchao, SU Ziying. 2025. Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi. Geological Bulletin of China, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030
Citation: ZHANG Yongwang, PANG Shilong, Hua Weihua, ZHANG Wen, DUAN Jianchao, SU Ziying. 2025. Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi. Geological Bulletin of China, 44(6): 1174-1186. doi: 10.12097/gbc.2023.03.030

Research on 3D geological modeling method and application of urban underground space based on stratigraphic pinchout: A case study of Beihai City, Guangxi

    Fund Project: Supported by the National Natural Science Foundation of China for the project “Rapid Construction Method of Complex Geological Model under the Joint Influence of Multiple Data” (Grant No. 41972307).
More Information
  • Author Bio: ZHANG Yongwang, male, born in 1979, senior engineer, mainly engaged in hydrogeological and environmental geological survey and applied research; E-mail: 493959645@qq.com
  • Corresponding author: PANG Shilong, male, born in 2000, master’s candidate, mainly engaged in the application of AI in underground space and 3D geological modeling research; E-mail: 845190158@qq.com 
  • Objective

    The development and utilization of urban underground space constitutes a significant component of contemporary urban construction, with the three dimensional geological model serving as a foundational element in the evaluation of the complexity involved in the development and utilization of underground space. Addressing the challenge of inaccurate stratigraphic zoning in existing three−dimensional geological modelling methods, this paper proposes a rational calculation method for determining the stratigraphic pinch−out location, taking into account the factors that influence model accuracy.

    Methods

    The method determines the pinch−out position by considering formation thickness, borehole spacing, formation burial depth, and single−hole control range. This is achieved by tracking the formation partition, thereby constructing a more accurate formation surface.

    Results

    This study selected Beihai City as the research area. Utilizing actual geological data from the region, including boreholes and profiles, a unified stratigraphic sequence was first established, and stratigraphic zoning constraints were generated. Subsequently, a refined three-dimensional geological structure model of Beihai City was successfully constructed. The model’s quality was evaluated through borehole data back-substitution and profile comparisons, and a comparative analysis was conducted against traditional modeling methods. This comparison revealed that the model constructed using the proposed method exhibited a higher degree of conformity with actual borehole-revealed conditions in key areas, and the stratigraphic contact relationships were more reasonably represented.

    Conclusions

    The proposed method for calculating stratigraphic pinch-out locations based on influencing factors effectively enhances the accuracy of three-dimensional geological models, particularly demonstrating a significant advantage when dealing with complex geological structures involving features such as pinch-outs and unconformable contacts. Compared to traditional modeling approaches, the model developed with this method aligns more closely with actual geological conditions. It offers a novel and more reliable solution for addressing challenges in three-dimensional geological modeling under complex geological settings, and holds important reference value for the refined development and utilization of urban underground space.

  • 加载中
  • [1] Abdollahifard M J. 2016. Fast multiple-point simulation using a data-driven path and an efficient gradient-based search[J]. Computers & Geosciences, 86: 64−74.

    Google Scholar

    [2] Bamisaiye O A. 2018. Subsurface mapping: Selection of best interpolation method for borehole data analysis[J]. Spatial Information Research, 26(3): 261−269. doi: 10.1007/s41324-018-0170-6

    CrossRef Google Scholar

    [3] Camp C V, Outlaw J E. 1993. Constructing subsurface profiles using GIS[J]. Advances in Engineering Software, 18(3): 151−158.

    Google Scholar

    [4] Chen A Z. 2013. Dictionary of Tourism Geology[M]. Beijing: Science Press (in Chinese with English abstract).

    Google Scholar

    [5] Cheng W Q, Yang K G, Duan W F. 2014. Discussion on engineering geological analysis methods for complex deformation areas: A case study of Danba Hydropower Station[J]. Hydrogeology and Engineering Geology, 41(2): 68−73 (in Chinese with English abstract).

    Google Scholar

    [6] Deng F, Shi Y, Jiang D. 2018. Identification technology and application of stratigraphic pinch-out lines based on principal component analysis de-shielding: Taking the T50 unconformity shielding in the 678 area of Tahe Oilfield as an example[J]. Journal of Oil and Gas Technology, 40(1): 24−29 (in Chinese with English abstract). doi: 10.12677/JOGT.2018.401004

    CrossRef Google Scholar

    [7] Du Z C, Liu Z, Ming W H. 2019. Unified stratigraphic sequence method for urban-scale three-dimensional geological modeling[J]. Rock and Soil Mechanics, 40(S1): 259−266 (in Chinese with English abstract).

    Google Scholar

    [8] Fang H D, Liu Y H, Shi B, et al. 2002. Three-dimensional geological modeling and its engineering applications[J]. Hydrogeology and Engineering Geology, 29(3): 52−55 (in Chinese with English abstract).

    Google Scholar

    [9] Hao M, Zhang Y, Zhan Q, et al. 2024. Research and application of urban three-dimensional geological modeling technology based on multiple and complex geological structures: A case study of Chengdu, China[J]. Frontiers in Earth Science, 12: 1444861. doi: 10.3389/feart.2024.1444861

    CrossRef Google Scholar

    [10] Hua W H, Guo D Y, Liu X G. 2023. Unified correction and connection method of stratigraphic sequences with complex inversion[J]. Earth Science, 48(4): 1532−1542 (in Chinese with English abstract).

    Google Scholar

    [11] Huang C, Lang X H, Lou Y M. 2021. Three-dimensional geological modeling and deep visualization of Xiong Village No. 1 orebody in Xizang[J]. Geological Bulletin of China, 40(5): 753−763 (in Chinese with English abstract).

    Google Scholar

    [12] Li L, Liu X G, Wu W B. 2018. Key technologies for three-dimensional stratigraphic modeling based on borehole data[J]. Rock and Soil Mechanics, 39(3): 1056−1062 (in Chinese with English abstract).

    Google Scholar

    [13] Li X S, Liu C. 2011. Correlation distance analysis and reasonable determination of sampling spacing for investigation boreholes[J]. Hydrogeology and Engineering Geology, 38(4): 74−77 (in Chinese with English abstract).

    Google Scholar

    [14] Liu F. 2024. Research on three-dimensional geological modeling technology in hydrogeological exploration[J]. Hydraulic Power Technology and Application, 6(22): 169−171 (in Chinese with English abstract).

    Google Scholar

    [15] Lu J J, Tian Z H. 2016. GIS-based island polygon triangulation algorithm[J]. Surveying and Spatial Geographic Information, 39(11): 168−170 (in Chinese with English abstract).

    Google Scholar

    [16] Qu H G, Pan M, Liu X Q, et al. 2015. Urban three-dimensional geological modeling and its application in urbanization construction[J]. Geological Bulletin of China, 34(7): 1350−1358 (in Chinese with English abstract).

    Google Scholar

    [17] Tahmasebi P, Hezarkhani A, Sahimi M. 2012. Multiple-point geostatistical modeling based on the cross-correlation functions[J]. Computational Geosciences, 16(3): 779−797. doi: 10.1007/s10596-012-9287-1

    CrossRef Google Scholar

    [18] Tao X F, Wu D C. 2007. General Geology[M]. Beijing: Science Press (in Chinese with English abstract).

    Google Scholar

    [19] Wang J, Zhang Z Q, Teng Y B. 2011. Identification technology of delta sandbody pinch-out lines based on seismic instantaneous spectrum analysis[J]. Fault-Block Oil and Gas Field, 18(5): 585−588 (in Chinese with English abstract).

    Google Scholar

    [20] Wang J, Zhou D H, Zhang Z Q. 2010. Exploration of seismic response characteristics of low-level wedge-shaped delta sandbody lithological pinch-out lines[J]. Petroleum Geology and Engineering, 24(5): 33−36 (in Chinese with English abstract).

    Google Scholar

    [21] Wang P, Jiang N. 2007. Modeling method of inverted stratigraphy based on core sequence priority[J]. Geography and Geographic Information Science, 23(5): 52−55 (in Chinese with English abstract).

    Google Scholar

    [22] Wang Y M, Liu X. 2024. Research on three-dimensional geological modeling of pinch-out and bifurcation coal seams: Based on geostatistics and symbolic matrix methods[J]. Science Technology and Engineering, 24(4): 1402−1409 (in Chinese with English abstract).

    Google Scholar

    [23] Wang Z J. 2012. Seismic description technology of sandbody pinch-out lines in the Sha 2 Member of Xiaoying Oilfield, Dongying Sag[J]. Geophysical Prospecting for Petroleum, 51(2): 305−308 (in Chinese with English abstract).

    Google Scholar

    [24] Xia Y H, Bai S W. 2012. Research on borehole data preprocessing for three-dimensional stratigraphic modeling[J]. Rock and Soil Mechanics, 33(4): 1223−1226 (in Chinese with English abstract).

    Google Scholar

    [25] Xiong R, Zhao J L, Liu S Z. 2010. Seismic identification and prediction of sandstone pinch-out lines in the Donghe Sandstone of the Caonan area[J]. Yangtze University Journal (Natural Science Edition, Engineering and Technology), 7(4): 57−60 (in Chinese with English abstract).

    Google Scholar

    [26] Zhou D, Zeng G L, Wang H R. 2022. Three-dimensional geological modeling and ore-forming prediction in the southern part of Taoshan, Jiangxi[J]. Geological Bulletin of China, 41(12): 2256−2264 (in Chinese with English abstract).

    Google Scholar

    [27] Zhu Y, Liu X J, Chen S Z. 2007. Research on GIS-based software for automatic drawing of geological profile maps[J]. Journal of Nanjing Normal University (Natural Science Edition), 30(4): 104−108 (in Chinese with English abstract).

    Google Scholar

    [28] 陈安泽. 2013. 旅游地学大辞典[M]. 北京: 科学出版社.

    Google Scholar

    [29] 程万强, 杨坤光, 段伟锋. 2014. 复杂变形区工程地质解析方法探讨——以丹巴水电站为例[J]. 水文地质工程地质, 41(2): 68−73.

    Google Scholar

    [30] 邓锋, 石玉, 姜冬. 2018. 基于主成分分析法去屏蔽的地层尖灭线识别技术及应用——以塔河油田678区不整合面T50屏蔽为例[J]. 石油天然气学报, 40(1): 24−29.

    Google Scholar

    [31] 杜子纯, 刘镇, 明伟华, 等. 2019. 城市级三维地质建模的统一地层层序方法[J]. 岩土力学, 40(S1): 259−266.

    Google Scholar

    [32] 方海东, 刘义怀, 施斌, 等. 2002. 三维地质建模及其工程应用[J]. 水文地质工程地质, 29(3): 52−55. doi: 10.3969/j.issn.1000-3665.2002.03.016

    CrossRef Google Scholar

    [33] 花卫华, 郭丹阳, 刘修国. 2023. 含复杂倒转的地层层序统一修正与连接方法[J]. 地球科学, 48(4): 1532−1542.

    Google Scholar

    [34] 黄诚, 郎兴海, 娄渝明, 等. 2021. 西藏雄村Ⅰ号矿体三维地质建模与深部可视化应用[J]. 地质通报, 40(5): 753−763.

    Google Scholar

    [35] 李璐, 刘新根, 吴蔚博. 2018. 基于钻孔数据的三维地层建模关键技术[J]. 岩土力学, 39(3): 1056−1062.

    Google Scholar

    [36] 李新生, 刘超. 2011. 相关距离分析与勘察钻孔取样间距的合理确定[J]. 水文地质工程地质, 38(4): 74−77.

    Google Scholar

    [37] 刘飞. 2024. 水利地质勘察中的三维地质建模技术研究[J]. 水利电力技术与应用, 6(22): 169−171.

    Google Scholar

    [38] 芦军军, 田正华. 2016. GIS岛多边形三角剖分算法[J]. 测绘与空间地理信息, 39(11): 168−170.

    Google Scholar

    [39] 屈红刚, 潘懋, 刘学清, 等. 2015. 城市三维地质建模及其在城镇化建设中的应用[J]. 地质通报, 34(7): 1350−1358.

    Google Scholar

    [40] 陶晓风, 吴德超. 2007. 普通地质学[M]. 北京: 科学出版社.

    Google Scholar

    [41] 王军, 张中巧, 滕玉波. 2011. 基于地震瞬时谱分析的三角洲砂体尖灭线识别技术[J]. 断块油气田, 18(5): 585−588.

    Google Scholar

    [42] 王军, 周东红, 张中巧. 2010. 低位楔形三角洲砂体岩性尖灭线地震响应特征探索[J]. 石油地质与工程, 24(5): 33−36.

    Google Scholar

    [43] 王鹏, 江南. 2007. 基于核心序列优先的倒转地层构模方法[J]. 地理与地理信息科学, 23(5): 52−55.

    Google Scholar

    [44] 王艳美, 刘星. 2024. 尖灭分叉型煤层三维地质建模研究: 基于地质统计学和符号矩阵的方法[J]. 科学技术与工程, 24(4): 1402−1409.

    Google Scholar

    [45] 王志杰. 2012. 东营凹陷小营油田沙二段砂体尖灭线地震描述技术[J]. 石油地球物理勘探, 47(2): 305−308.

    Google Scholar

    [46] 夏艳华, 白世伟. 2012. 三维地层建模钻孔数据预处理研究[J]. 岩土力学, 33(4): 1223−1226.

    Google Scholar

    [47] 熊冉, 赵继龙, 刘少治. 2010. 草南地区东河砂岩尖灭线地震识别与预测[J]. 长江大学学报(自然科学版)理工卷, 7(4): 57−60.

    Google Scholar

    [48] 周邓, 曾广亮, 王洪荣. 2022. 江西桃山罗布里南部地区三维地质建模与成矿预测[J]. 地质通报, 41(12): 2256−2264.

    Google Scholar

    [49] 朱莹, 刘学军, 陈锁忠. 2007. 基于GIS的地质剖面图自动绘制软件的研究[J]. 南京师大学学报(自然科学版), 30(4): 104−108.

    Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(19)

Tables(2)

Article Metrics

Article views(237) PDF downloads(49) Cited by(0)

Access History

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint