Prediction of Sandstone-Type Uranium Deposits Based on Data from Oilfield Drilling and Its Mineralization Regularity: A Case Study of Jingchuan Uranium Deposit, SW Ordos Basin

A large-scale sandstone-type uranium deposit, recently discovered within the petroleum field of the Jingchuan area on the southwestern margin of the Ordos Basin, exemplifies a classic case of uranium exploration success achieved through the analysis of petroleum geological data including borehole logs. By synthesizing borehole radioactive logs and seismic surveys, we delineated target sandstone geometry, connectivity, and ore-controlling structures (e.g., paleochannels, redox interfaces). This study establishes a novel methodology for sandstone-type uranium exploration in petroliferous basins, unifying geophysical and geochemical datasets to define drill-validated targets. We integrated detailed core logging, petrography, and assay data to delineate the deposit’s geology. This included the host strata composition, ore-body morphology, mineralogy, and alteration assemblages. Our analysis identified the critical controls on mineralization: sandbody architecture, structural framework, and redox zonation. Based on these constraints, we constructed a genetic metallogenic model. Furthermore, we elucidated the mechanistic role of hydrocarbons in uranium mineralization and demonstrated the strategic potential of repurposing legacy oilfield data for synergistic uranium targeting. The Jingchuan uranium deposit provides both an exploration blueprint and theoretical foundations for uranium targeting in analogous sedimentary basins.

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Publication Details

Journal
Applied Sciences
Published
2025-10-21
DOI
https://doi.org/10.3390/app152011268
Citations
2
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
4.96
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article

Prediction of Sandstone-Type Uranium Deposits Based on Data from Oilfield Drilling and Its Mineralization Regularity: A Case Study of Jingchuan Uranium Deposit, SW Ordos Basin

Keyan Xiao, Sibo Wen, Yin Chen, Cheng Yin-hang et al.
2 citations
Applied Sciences
Geochemistry and Geologic Mapping
4.96
article

Prediction of Sandstone-Type Uranium Deposits Based on Data from Oilfield Drilling and Its Mineralization Regularity: A Case Study of Jingchuan Uranium Deposit, SW Ordos Basin

Keyan Xiao, Sibo Wen, Yin Chen, Cheng Yin-hang, Qiang Zhu, Bo Zhang, Rengan Yu
article en
2 citations

Abstract

A large-scale sandstone-type uranium deposit, recently discovered within the petroleum field of the Jingchuan area on the southwestern margin of the Ordos Basin, exemplifies a classic case of uranium exploration success achieved through the analysis of petroleum geological data including borehole logs. By synthesizing borehole radioactive logs and seismic surveys, we delineated target sandstone geometry, connectivity, and ore-controlling structures (e.g., paleochannels, redox interfaces). This study establishes a novel methodology for sandstone-type uranium exploration in petroliferous basins, unifying geophysical and geochemical datasets to define drill-validated targets. We integrated detailed core logging, petrography, and assay data to delineate the deposit’s geology. This included the host strata composition, ore-body morphology, mineralogy, and alteration assemblages. Our analysis identified the critical controls on mineralization: sandbody architecture, structural framework, and redox zonation. Based on these constraints, we constructed a genetic metallogenic model. Furthermore, we elucidated the mechanistic role of hydrocarbons in uranium mineralization and demonstrated the strategic potential of repurposing legacy oilfield data for synergistic uranium targeting. The Jingchuan uranium deposit provides both an exploration blueprint and theoretical foundations for uranium targeting in analogous sedimentary basins.

Applied SciencesVol. 15(20)
Hefei University of Technology (CN), China Geological Survey (CN), Chinese Academy of Geological Sciences (CN)
Openalex Percentile: Top 4%
Geochemistry and Geologic Mapping
4.96
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