Distribution of orebodies and gold grades and their structural controls at the Chaihulanzi gold deposit, NE China: constraints from 3D modeling and fractal analysis

• Riedel shear system controls occurrence and geometry of orebodies. • Orebodies in transpressional system with varying gold grade distribution. • Orebodies in transtensional system with uniform gold grade distribution. • High-grade ores localized at fault intersections and transpressional system. The multi-scale controls on the spatial distribution of orebodies and gold grades at the Chaihulanzi gold deposit remain enigmatic. The orogenic gold mineralization is hosted by graphite-bearing schists, gneisses, and diorites. Our study employed Surpac 3D modeling technology to define the spatial morphology of orebodies and applied the number–size fractal model to analyze the gold grade distribution, quantitatively characterizing the influence of ore-controlling fault systems. Our 3D model is based on geological profiles, outcrop observations and drill hole data. It reveals that the NW–SE-trending and nearly E–W-trending ore-controlling faults are compatible with a Riedel shear system. The NW–SE-trending transpressional faults controlled continuous, tabular orebodies that extend into deep en-echelon veins, whereas the nearly E–W-trending transtensional faults formed discontinuous, lens-shaped orebodies. Fractal analysis indicates that gold grades in most cross-cuts display a bifractal pattern. The orebodies controlled by transpressional faults with more intense mineralization have higher fractal dimensions (D2: 0.59–5.75; median 1.84) and thresholds (median 3.1 g/t) compared to those controlled by transtensional faults (D2: 0.75–5.25; median 1.4; threshold median 1.03 g/t). This can be explained by the dense and interconnected ore-controlling microfractures in transpressional faults associated with variable gold grade distribution, relative to sparse and dispersed microfractures in transtensional faults associated with uniform gold grade distribution. The gold grades of orebodies are decreasing in wall rocks from graphite-bearing schist to gneiss to diorite porphyry, which, together with a decreasing intensity of quartz-sericite alteration, can be attributed to the influence of fluid–rock reactions. Our study contributes to the better understanding of deposit-scale and micro-scale controls on mineralization and gold grades at the Chaihulanzi deposit with significant implications for optimizing deep and regional exploration strategies.

Authors

Institutions

Publication Details

Journal
Ore Geology Reviews
Published
2025-09-25
DOI
https://doi.org/10.1016/j.oregeorev.2025.106901
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distribution of orebodies and gold grades and their structural controls at the Chaihulanzi gold deposit, NE China: constraints from 3D modeling and fractal analysis

Emmanuel John M. Carranza, 杨兰 YANG Lan, Chuan Xu, Kexin Zhao et al.
Ore Geology Reviews
Geochemistry and Geologic Mapping
article

Distribution of orebodies and gold grades and their structural controls at the Chaihulanzi gold deposit, NE China: constraints from 3D modeling and fractal analysis

Emmanuel John M. Carranza, 杨兰 YANG Lan, Chuan Xu, Kexin Zhao, Huajian Li, Wen Yong Li, Kang Wang, Zhuang Zhang, D. Xu, Zhao Liu
article en

Abstract

• Riedel shear system controls occurrence and geometry of orebodies. • Orebodies in transpressional system with varying gold grade distribution. • Orebodies in transtensional system with uniform gold grade distribution. • High-grade ores localized at fault intersections and transpressional system. The multi-scale controls on the spatial distribution of orebodies and gold grades at the Chaihulanzi gold deposit remain enigmatic. The orogenic gold mineralization is hosted by graphite-bearing schists, gneisses, and diorites. Our study employed Surpac 3D modeling technology to define the spatial morphology of orebodies and applied the number–size fractal model to analyze the gold grade distribution, quantitatively characterizing the influence of ore-controlling fault systems. Our 3D model is based on geological profiles, outcrop observations and drill hole data. It reveals that the NW–SE-trending and nearly E–W-trending ore-controlling faults are compatible with a Riedel shear system. The NW–SE-trending transpressional faults controlled continuous, tabular orebodies that extend into deep en-echelon veins, whereas the nearly E–W-trending transtensional faults formed discontinuous, lens-shaped orebodies. Fractal analysis indicates that gold grades in most cross-cuts display a bifractal pattern. The orebodies controlled by transpressional faults with more intense mineralization have higher fractal dimensions (D2: 0.59–5.75; median 1.84) and thresholds (median 3.1 g/t) compared to those controlled by transtensional faults (D2: 0.75–5.25; median 1.4; threshold median 1.03 g/t). This can be explained by the dense and interconnected ore-controlling microfractures in transpressional faults associated with variable gold grade distribution, relative to sparse and dispersed microfractures in transtensional faults associated with uniform gold grade distribution. The gold grades of orebodies are decreasing in wall rocks from graphite-bearing schist to gneiss to diorite porphyry, which, together with a decreasing intensity of quartz-sericite alteration, can be attributed to the influence of fluid–rock reactions. Our study contributes to the better understanding of deposit-scale and micro-scale controls on mineralization and gold grades at the Chaihulanzi deposit with significant implications for optimizing deep and regional exploration strategies.

Ore Geology ReviewsVol. 186
University of the Free State (ZA), China University of Geosciences (Beijing) (CN), Changchun Gold Research Institute (China) (CN), East China University of Technology (CN)
Openalex Percentile: Top 86%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.