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Refined and Efficient Modeling Technology and Application for Complex Ore Body
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Yufei GAO1, Xinfeng YANG2, Bin ZHENG1, Zhaomin QIAN1, Zhuo WANG3, Xiaokang CHEN4
Copper Engineering | 2026, (1) : 146 - 154
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Copper Engineering | 2026, (1): 146-154
• Mining Engineering and Engineering Construction •
Refined and Efficient Modeling Technology and Application for Complex Ore Body
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Yufei GAO1, Xinfeng YANG2, Bin ZHENG1, Zhaomin QIAN1, Zhuo WANG3, Xiaokang CHEN4
Affiliations
  • 1.Kambove Mining SAS Co.，Ltd.，Likasi 1004131，Congo
  • 2.Changsha Dimine Technology Co.，Ltd.，Changsha 410083，China
  • 3.School of Resources and Safety Engineering，Central South University，Changsha 410083，China
  • 4.China Nerin Engineering Co.，Ltd.，Nanchang 330031，China
Published: 2026-02-28 doi: 10.3969/j.issn.1009-3842.2026.01.014
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Complex orebodies often exhibit intricate geometries, extensive branching and fault truncation, and the traditional practice of manually stitching wireframes one by one is inefficient and highly subjective. This paper proposed a refined and efficient modeling strategy tailored to complex orebody geometries. It formalized a signed distance field (SDF) definition and an efficient construction method based on contour lines, and implemented a hierarchical workflow—multi-wireframe automatic one-step modeling, local wireframe correction, and sporadic extrapolation modeling—that balanced automation with boundary fidelity. The method was validated on a structurally complex concession in the Democratic Republic of the Congo using the DIMINE platform. The overall modeling cycle was reduced from 230~440 h to 46~67 h. Over 170 mineralization models (≈1.91×107 m3) and more than 180 orebody models (≈1.31×107 m3) were successfully produced. Obtained models passed closure and topological validity checks with controllable errors. Results demonstrated that the proposed approach substantially improved automation for complex orebody modeling while retaining geometric accuracy at local mutation zones via secondary repairs, and thus offered a general technical path and implementation scheme for similar complex deposits.

3D modeling of ore body  /  automatic modeling  /  ore body contour  /  modeling of complex ore body  /  distance field construction
Yufei GAO, Xinfeng YANG, Bin ZHENG, Zhaomin QIAN, Zhuo WANG, Xiaokang CHEN. Refined and Efficient Modeling Technology and Application for Complex Ore Body[J]. Copper Engineering, 2026 , (1) : 146 -154 . DOI: 10.3969/j.issn.1009-3842.2026.01.014
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Article Info
doi: 10.3969/j.issn.1009-3842.2026.01.014
  • Receive Date：2025-06-20
  • Online Date：2026-09-08
  • Published：2026-02-28
Article Data
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History
  • Received：2025-06-20
  • Revised：2025-12-12
Funding
Affiliations
    1.Kambove Mining SAS Co.，Ltd.，Likasi 1004131，Congo
    2.Changsha Dimine Technology Co.，Ltd.，Changsha 410083，China
    3.School of Resources and Safety Engineering，Central South University，Changsha 410083，China
    4.China Nerin Engineering Co.，Ltd.，Nanchang 330031，China
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https://castjournals.cast.org.cn/joweb/tygc/EN/10.3969/j.issn.1009-3842.2026.01.014
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Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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