Geophysics Indicator of Sandstone‐Type Uranium Mineralization in the Northern Ordos Basin, China: Analysis From Gravity and Magnetic Data

Abstract Ordos Basin, one of the largest uranium resource areas in China, holds significant potential due to its favorable metallogenic geological conditions and promising potential. Early exploration efforts primarily targeted sandstone‐hosted uranium deposits. Recently, the discovery of several large and super‐large sandstone‐type uranium deposits has revealed previously unrecognized uranium‐bearing formations. However, these newly identified formations have yet to undergo systematic research on their geological conditions and metallogenesis processes, highlighting the urgent need for further investigation to advance metallogenic theory. Additionally, fault structures, which are critical to the metalization process, remain insufficiently described due to lack of comprehensive geophysical data. To bridge this gap, this study employs areal data to characterize the geophysical signatures of both traditional and newly discovered ore‐bearing formations. The research delineates the distributions of primary and secondary faults, analyzes the characteristic of basement relief, and integrates basin evolution with key metallogenic factors utilizing gravity and magnetic exploration. Furthermore, the study identifies two promising metallogenic zones, offering essential insights to guide future exploration, resource development, and efficient exploitation strategies.

Authors

Institutions

Publication Details

Journal
Earth and Space Science
Published
2025-03-01
DOI
https://doi.org/10.1029/2024ea003521
Citations
3
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
5.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geophysics Indicator of Sandstone‐Type Uranium Mineralization in the Northern Ordos Basin, China: Analysis From Gravity and Magnetic Data

Yamin Deng, Yajun Yang, Zhenning Su, C. H. Feng et al.
3 citations
Earth and Space Science
Geophysical and Geoelectrical Methods
5.60
article

Geophysics Indicator of Sandstone‐Type Uranium Mineralization in the Northern Ordos Basin, China: Analysis From Gravity and Magnetic Data

Yamin Deng, Yajun Yang, Zhenning Su, C. H. Feng, Chenhao Sun, Menglong Xu, S. L. Shi
article en
3 citations

Abstract

Abstract Ordos Basin, one of the largest uranium resource areas in China, holds significant potential due to its favorable metallogenic geological conditions and promising potential. Early exploration efforts primarily targeted sandstone‐hosted uranium deposits. Recently, the discovery of several large and super‐large sandstone‐type uranium deposits has revealed previously unrecognized uranium‐bearing formations. However, these newly identified formations have yet to undergo systematic research on their geological conditions and metallogenesis processes, highlighting the urgent need for further investigation to advance metallogenic theory. Additionally, fault structures, which are critical to the metalization process, remain insufficiently described due to lack of comprehensive geophysical data. To bridge this gap, this study employs areal data to characterize the geophysical signatures of both traditional and newly discovered ore‐bearing formations. The research delineates the distributions of primary and secondary faults, analyzes the characteristic of basement relief, and integrates basin evolution with key metallogenic factors utilizing gravity and magnetic exploration. Furthermore, the study identifies two promising metallogenic zones, offering essential insights to guide future exploration, resource development, and efficient exploitation strategies.

Earth and Space ScienceVol. 12(3)
Chinese Academy of Geological Sciences (CN), Geological Exploration Technology Institute of Jiangsu Province (CN)
National Natural Science Foundation of China, China Geological Survey, Chinese Academy of Geological Sciences
Openalex Percentile: Top 5%
Geophysical and Geoelectrical Methods
5.60
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.