Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China
The orientation of deep-seated orebodies was observed shifted from the northwest to north at the Xincheng deposit in the Jiaoxibei gold field during the mining operations. To make informed decisions, understanding the geological factors influencing this directional change is crucial for mining engin...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2024.1217016/full |
| _version_ | 1797338446543454208 |
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| author | Xiaoning Liu Xiaoning Liu Xiaoning Liu Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Jingyi Lv Jingyi Lv Yongming Peng Xianyong Zhao |
| author_facet | Xiaoning Liu Xiaoning Liu Xiaoning Liu Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Jingyi Lv Jingyi Lv Yongming Peng Xianyong Zhao |
| author_sort | Xiaoning Liu |
| collection | DOAJ |
| description | The orientation of deep-seated orebodies was observed shifted from the northwest to north at the Xincheng deposit in the Jiaoxibei gold field during the mining operations. To make informed decisions, understanding the geological factors influencing this directional change is crucial for mining engineers. Prior research suggested that the ore-controlling fault morphology might correlate with the orebody positions and the thickness of alteration zones. Hence, the morphology of fault structures emerges as a key point in this work. First, we constructed a three-dimensional (3D) fault surface model. A large fault framework was interpreted using gravity–magnetic–electrical geophysical datasets, and then, the local details of the fault surfaces were characterized using an interpolation method based on the drillhole fault gouge data. Subsequently, we statistically assessed the spatial association between fault morphology and orebody positioning using the standardized C-values method and demarcated the ore-controlling structures on fault surfaces using quantitative indicators. The indicators of fault dips, fault azimuths, and the second-order trend residuals of fault surfaces represented the fault morphology. The drillhole grade data (Σsampling grade * sampling length) were used to describe the scale of mineralization zones, and the cumulative thickness of the pyrite–sericite altered rocks indicated the intensity of alteration zones. Finally, a geostatistical structural analysis was used to depict the mineralization orientation at different locations. Through these methods, we aim to propose a potential pattern of how ore-controlling fault morphology spatially influences the positions and orientations of orebodies. This comprehensive approach offers valuable insights into exploring deep-seated mineralization at the Xincheng deposit, aiding in a better understanding of the deposit’s geological dynamics for future mining endeavors. |
| first_indexed | 2024-03-08T09:31:19Z |
| format | Article |
| id | doaj.art-c61817e9d78c4a3da3cd67a88a62132d |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-08T09:31:19Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-c61817e9d78c4a3da3cd67a88a62132d2024-01-31T04:34:47ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632024-01-011210.3389/feart.2024.12170161217016Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, ChinaXiaoning Liu0Xiaoning Liu1Xiaoning Liu2Gongwen Wang3Gongwen Wang4Gongwen Wang5Gongwen Wang6Gongwen Wang7Jingyi Lv8Jingyi Lv9Yongming Peng10Xianyong Zhao11School of Earth Sciences and Resources, China University of Geosciences, Beijing, ChinaFrontiers Science Center for Deep-Time Digital Earth, China University of Geosciences, Beijing, ChinaShandong Engineering Research Center of Application and Development of Big Data for Deep Gold Exploration, Weihai, ChinaSchool of Earth Sciences and Resources, China University of Geosciences, Beijing, ChinaFrontiers Science Center for Deep-Time Digital Earth, China University of Geosciences, Beijing, ChinaShandong Engineering Research Center of Application and Development of Big Data for Deep Gold Exploration, Weihai, ChinaMNR Key Laboratory for Exploration Theory and Technology of Critical Mineral Resources, China University of Geosciences, Beijing, ChinaBeijing Key Laboratory of Land and Resources Information Research and Development, Beijing, ChinaSchool of Earth Sciences and Resources, China University of Geosciences, Beijing, ChinaChina Communications Informations and Technology Group Co., LTD., Beijing, ChinaXincheng Gold Limited Company of Shandong Gold Group, Yantai, ChinaXincheng Gold Limited Company of Shandong Gold Group, Yantai, ChinaThe orientation of deep-seated orebodies was observed shifted from the northwest to north at the Xincheng deposit in the Jiaoxibei gold field during the mining operations. To make informed decisions, understanding the geological factors influencing this directional change is crucial for mining engineers. Prior research suggested that the ore-controlling fault morphology might correlate with the orebody positions and the thickness of alteration zones. Hence, the morphology of fault structures emerges as a key point in this work. First, we constructed a three-dimensional (3D) fault surface model. A large fault framework was interpreted using gravity–magnetic–electrical geophysical datasets, and then, the local details of the fault surfaces were characterized using an interpolation method based on the drillhole fault gouge data. Subsequently, we statistically assessed the spatial association between fault morphology and orebody positioning using the standardized C-values method and demarcated the ore-controlling structures on fault surfaces using quantitative indicators. The indicators of fault dips, fault azimuths, and the second-order trend residuals of fault surfaces represented the fault morphology. The drillhole grade data (Σsampling grade * sampling length) were used to describe the scale of mineralization zones, and the cumulative thickness of the pyrite–sericite altered rocks indicated the intensity of alteration zones. Finally, a geostatistical structural analysis was used to depict the mineralization orientation at different locations. Through these methods, we aim to propose a potential pattern of how ore-controlling fault morphology spatially influences the positions and orientations of orebodies. This comprehensive approach offers valuable insights into exploring deep-seated mineralization at the Xincheng deposit, aiding in a better understanding of the deposit’s geological dynamics for future mining endeavors.https://www.frontiersin.org/articles/10.3389/feart.2024.1217016/fullthree-dimensional geological modelinggeostatistical structural analysisfault morphologyJiaoxibei gold fieldXincheng deposit |
| spellingShingle | Xiaoning Liu Xiaoning Liu Xiaoning Liu Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Gongwen Wang Jingyi Lv Jingyi Lv Yongming Peng Xianyong Zhao Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China Frontiers in Earth Science three-dimensional geological modeling geostatistical structural analysis fault morphology Jiaoxibei gold field Xincheng deposit |
| title | Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China |
| title_full | Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China |
| title_fullStr | Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China |
| title_full_unstemmed | Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China |
| title_short | Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China |
| title_sort | three dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining a case study in the jiaoxibei gold field china |
| topic | three-dimensional geological modeling geostatistical structural analysis fault morphology Jiaoxibei gold field Xincheng deposit |
| url | https://www.frontiersin.org/articles/10.3389/feart.2024.1217016/full |
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