Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry

Wenbao Zheng; Bingli Liu; Jennifer McKinley; Xiang Ji; Yunhui Kong; Miao Xie; Yixiao Wu; Dejiang Luo

doi:10.1016/j.gexplo.2023.107270

Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry

Wenbao Zheng, Bingli Liu^*, Jennifer McKinley, Xiang Ji, Yunhui Kong, Miao Xie, Yixiao Wu, Dejiang Luo

^*Corresponding author for this work

School of Natural and Built Environment

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

71 Downloads (Pure)

Abstract

There have been recent breakthroughs in exploration for tin (Sn) and silver (Ag) mineral resources in the Southern Great Xing’an Range, making this region a world-class Sn and Ag metallogenic area. However, thick surface coverage and hidden deposits make exploration difficult, and conventional geological and geochemical prospecting methods have severely limited efficacy. In order to further extract geological and geochemical information on the basis of the existing research, to serve the regional mineral exploration, the knowledge-driven CoDA method is used to identify geochemical associations for inferring matallogenic information. Meanwhile, the fractal C-A model is used to determine geochemical anomalies, the catchment basin geochemical method is used to delineate anomaly boundary. Especially, the data-driven CoDA method is employed for comparison analysis with the knowledge-driven one. As a result, seven groups of compositional balances are proposed and verified, and geological bodies closely related to Sn and Ag mineralization are identified. These occurred in Dashizhai Formation strata, being calcareous rocks and granites, especially A-type granite, which is most closely related to mineralization. Meanwhile, Sn and Ag mineralization areas were identified and found to be consistent with known deposits. Finally, this paper proposes a novel model of regional porphyry Sn–Cu metallogenic systems and delineates exploration targets for Ag–Zn–Pb–Cu deposits and Sn–polymetallic deposits based on the analysis of catchment basins.

Original language	English
Article number	107270
Number of pages	22
Journal	Journal of Geochemical Exploration
Volume	252
Early online date	13 Jul 2023
DOIs	https://doi.org/10.1016/j.gexplo.2023.107270 https://doi.org/10.1016/j.gexplo.2023.107270
Publication status	Published - 01 Sept 2023

Bibliographical note

Funding Information:
This work was supported by the National Key R&D Program of China (Grant 2022YFC2905002 ), the Science and Technology Innovation Project (Grant XYKY-2021-01 ), the National Natural Science Foundation of China ( 42072322 ), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01 ) and the Sichuan Science and Technology Program ( 2022NSFSC0510 , 2023NSFSC0277 ). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support.

Funding Information:
This work was supported by the National Key R&D Program of China (Grant 2022YFC2905002), the Science and Technology Innovation Project (Grant XYKY-2021-01), the National Natural Science Foundation of China (42072322), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01) and the Sichuan Science and Technology Program (2022NSFSC0510, 2023NSFSC0277). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support.

Publisher Copyright:
© 2023

Keywords

Geological conditions
compositional data analysis
Sn and Ag deposits
Southern Great Xing’an Range

ASJC Scopus subject areas

General Environmental Science
Environmental Chemistry
Applied Mathematics
Geochemistry and Petrology
Geology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.gexplo.2023.107270Licence: Unspecified
10.1016/j.gexplo.2023.107270

Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry
Copyright 2023 Elsevier. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivatives License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 14.8 MBLicence: CC BY-NC-ND

R1983NBE: VERTICES (Versatile Energy Resilience Through Innovations in Connected Energy Systems) Geo-Energy Sc
McKinley, J. (PI)
09/11/2018 → 31/03/2019
Project: Research
R1813NBE: Versatile (Energy Resilience Through Innovations in Connected Energy Systems) Geo Energy
McKinley, J. (PI) & Rooney, D. (CoI)
19/10/2017 → 31/03/2018
Project: Research

Chengdu University of Technology
McKinley, J. (Advisor)
18 Nov 2017 → 19 Nov 2017
Activity: Visiting an external institution types › Research and Teaching at External Organisation

Cite this

Zheng, W., Liu, B., McKinley, J., Ji, X., Kong, Y., Xie, M., Wu, Y., & Luo, D. (2023). Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry. Journal of Geochemical Exploration, 252, Article 107270. https://doi.org/10.1016/j.gexplo.2023.107270, https://doi.org/10.1016/j.gexplo.2023.107270

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title = "Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing{\textquoteright}an Range, China: application of knowledge-driven CoDA based on geology and geochemistry",

abstract = "There have been recent breakthroughs in exploration for tin (Sn) and silver (Ag) mineral resources in the Southern Great Xing{\textquoteright}an Range, making this region a world-class Sn and Ag metallogenic area. However, thick surface coverage and hidden deposits make exploration difficult, and conventional geological and geochemical prospecting methods have severely limited efficacy. In order to further extract geological and geochemical information on the basis of the existing research, to serve the regional mineral exploration, the knowledge-driven CoDA method is used to identify geochemical associations for inferring matallogenic information. Meanwhile, the fractal C-A model is used to determine geochemical anomalies, the catchment basin geochemical method is used to delineate anomaly boundary. Especially, the data-driven CoDA method is employed for comparison analysis with the knowledge-driven one. As a result, seven groups of compositional balances are proposed and verified, and geological bodies closely related to Sn and Ag mineralization are identified. These occurred in Dashizhai Formation strata, being calcareous rocks and granites, especially A-type granite, which is most closely related to mineralization. Meanwhile, Sn and Ag mineralization areas were identified and found to be consistent with known deposits. Finally, this paper proposes a novel model of regional porphyry Sn–Cu metallogenic systems and delineates exploration targets for Ag–Zn–Pb–Cu deposits and Sn–polymetallic deposits based on the analysis of catchment basins. ",

keywords = "Geological conditions, compositional data analysis, Sn and Ag deposits, Southern Great Xing{\textquoteright}an Range",

author = "Wenbao Zheng and Bingli Liu and Jennifer McKinley and Xiang Ji and Yunhui Kong and Miao Xie and Yixiao Wu and Dejiang Luo",

note = "Funding Information: This work was supported by the National Key R\&D Program of China (Grant 2022YFC2905002 ), the Science and Technology Innovation Project (Grant XYKY-2021-01 ), the National Natural Science Foundation of China ( 42072322 ), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01 ) and the Sichuan Science and Technology Program ( 2022NSFSC0510 , 2023NSFSC0277 ). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support. Funding Information: This work was supported by the National Key R\&D Program of China (Grant 2022YFC2905002), the Science and Technology Innovation Project (Grant XYKY-2021-01), the National Natural Science Foundation of China (42072322), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01) and the Sichuan Science and Technology Program (2022NSFSC0510, 2023NSFSC0277). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support. Publisher Copyright: {\textcopyright} 2023",

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Zheng, W, Liu, B, McKinley, J, Ji, X, Kong, Y, Xie, M, Wu, Y & Luo, D 2023, 'Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry', Journal of Geochemical Exploration, vol. 252, 107270. https://doi.org/10.1016/j.gexplo.2023.107270, https://doi.org/10.1016/j.gexplo.2023.107270

Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry. / Zheng, Wenbao; Liu, Bingli; McKinley, Jennifer et al.
In: Journal of Geochemical Exploration, Vol. 252, 107270, 01.09.2023.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry

AU - Zheng, Wenbao

AU - Liu, Bingli

AU - McKinley, Jennifer

AU - Ji, Xiang

AU - Kong, Yunhui

AU - Xie, Miao

AU - Wu, Yixiao

AU - Luo, Dejiang

N1 - Funding Information: This work was supported by the National Key R&D Program of China (Grant 2022YFC2905002 ), the Science and Technology Innovation Project (Grant XYKY-2021-01 ), the National Natural Science Foundation of China ( 42072322 ), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01 ) and the Sichuan Science and Technology Program ( 2022NSFSC0510 , 2023NSFSC0277 ). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support. Funding Information: This work was supported by the National Key R&D Program of China (Grant 2022YFC2905002), the Science and Technology Innovation Project (Grant XYKY-2021-01), the National Natural Science Foundation of China (42072322), the Key Laboratory of Geochemical Exploration, Ministry of Natural Resources (Grant AS2019P02-01) and the Sichuan Science and Technology Program (2022NSFSC0510, 2023NSFSC0277). We thank the Baiyinchagan Geological Exploration Team and Xingye Mining Company for their support. Publisher Copyright: © 2023

PY - 2023/9/1

Y1 - 2023/9/1

N2 - There have been recent breakthroughs in exploration for tin (Sn) and silver (Ag) mineral resources in the Southern Great Xing’an Range, making this region a world-class Sn and Ag metallogenic area. However, thick surface coverage and hidden deposits make exploration difficult, and conventional geological and geochemical prospecting methods have severely limited efficacy. In order to further extract geological and geochemical information on the basis of the existing research, to serve the regional mineral exploration, the knowledge-driven CoDA method is used to identify geochemical associations for inferring matallogenic information. Meanwhile, the fractal C-A model is used to determine geochemical anomalies, the catchment basin geochemical method is used to delineate anomaly boundary. Especially, the data-driven CoDA method is employed for comparison analysis with the knowledge-driven one. As a result, seven groups of compositional balances are proposed and verified, and geological bodies closely related to Sn and Ag mineralization are identified. These occurred in Dashizhai Formation strata, being calcareous rocks and granites, especially A-type granite, which is most closely related to mineralization. Meanwhile, Sn and Ag mineralization areas were identified and found to be consistent with known deposits. Finally, this paper proposes a novel model of regional porphyry Sn–Cu metallogenic systems and delineates exploration targets for Ag–Zn–Pb–Cu deposits and Sn–polymetallic deposits based on the analysis of catchment basins.

AB - There have been recent breakthroughs in exploration for tin (Sn) and silver (Ag) mineral resources in the Southern Great Xing’an Range, making this region a world-class Sn and Ag metallogenic area. However, thick surface coverage and hidden deposits make exploration difficult, and conventional geological and geochemical prospecting methods have severely limited efficacy. In order to further extract geological and geochemical information on the basis of the existing research, to serve the regional mineral exploration, the knowledge-driven CoDA method is used to identify geochemical associations for inferring matallogenic information. Meanwhile, the fractal C-A model is used to determine geochemical anomalies, the catchment basin geochemical method is used to delineate anomaly boundary. Especially, the data-driven CoDA method is employed for comparison analysis with the knowledge-driven one. As a result, seven groups of compositional balances are proposed and verified, and geological bodies closely related to Sn and Ag mineralization are identified. These occurred in Dashizhai Formation strata, being calcareous rocks and granites, especially A-type granite, which is most closely related to mineralization. Meanwhile, Sn and Ag mineralization areas were identified and found to be consistent with known deposits. Finally, this paper proposes a novel model of regional porphyry Sn–Cu metallogenic systems and delineates exploration targets for Ag–Zn–Pb–Cu deposits and Sn–polymetallic deposits based on the analysis of catchment basins.

KW - Geological conditions

KW - compositional data analysis

KW - Sn and Ag deposits

KW - Southern Great Xing’an Range

U2 - 10.1016/j.gexplo.2023.107270

DO - 10.1016/j.gexplo.2023.107270

M3 - Article

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SN - 0375-6742

VL - 252

JO - Journal of Geochemical Exploration

JF - Journal of Geochemical Exploration

M1 - 107270

ER -

Zheng W, Liu B, McKinley J, Ji X, Kong Y, Xie M et al. Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry. Journal of Geochemical Exploration. 2023 Sept 1;252:107270. Epub 2023 Jul 13. doi: 10.1016/j.gexplo.2023.107270, 10.1016/j.gexplo.2023.107270

Metallogeny and exploration indicators of Sn and Ag deposits in the Southern Great Xing’an Range, China: application of knowledge-driven CoDA based on geology and geochemistry

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Projects

R1983NBE: VERTICES (Versatile Energy Resilience Through Innovations in Connected Energy Systems) Geo-Energy Sc

R1813NBE: Versatile (Energy Resilience Through Innovations in Connected Energy Systems) Geo Energy

Activities

Chengdu University of Technology

Cite this