Results 31 to 40 of about 875 (184)

Geochemistry of Mudstones/Silty Mudstones from the Qigequan Formation and Shizigou Formation in Yuejin-II Area, Southwestern Area of the Qaidam Basin: Implications for Sedimentary Environment and Sandstone-Type Uranium Mineralization

, 2022
The Qaidam Basin has been the focus of sandstone-type uranium prospecting since the 1950s. In recent years, relying on the uranium geological survey project supported by the China Geological Survey, and the cooperation with the Qinhai oil company ...
Cong Ao, Xue-Bin Wei, Xue-Ming Teng, Duo Wang, Jun Yang, Tao Lei   +5 more
core   +1 more source

Study on Mechanism of Oxygen Oxidation Leaching with Low Acid for High Acid Consumption Sandstone Uranium Deposit

, 2023
In view of the problems of high acid consumption, the blockage of ore-bearing beds caused by iron ion precipitation and a low leaching rate in the conventional acid leaching of a sandstone-type uranium deposit, the author put forward “low-acid and ...
Ying Xu, Limin Wang, Ye Ding, Yu Ren, Xuebin Su, Wensheng Liao, Zhiming Du, Meifang Chen   +7 more
core   +1 more source

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

Applied Sciences
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 ...
Bo Zhang, Yinhang Cheng, Keyan Xiao, Rengan Yu, Yin Chen, Qiang Zhu, Sibo Wen   +6 more
doaj   +1 more source

Provenance of Jurassic Sediments from Yuqia Sandstone-Type Uranium Deposits in the Northern Margin of Qaidam Basin, China and Its Implications for Uranium Mineralization

, 2022
The Yuqia uranium deposit is a newly discovered sandstone-type uranium deposit in the northern margin of the Qaidam Basin. Concerning the sources of sediment in the basin, most scholars have focused on the study of Cenozoic sediment sources in the ...
Guangwen Huang, Zhuang Min, Pengfei Fan, Wanwen Xue, Guangnan Huang, Dehai Wu   +5 more
core   +1 more source

Lithology Identification of Sandstone-type Uranium Ore Beds in the Songliao Basin based on Interpretable Machine Learning Model

Donghua Ligong Daxue Xuebao. Ziran Kexue Ban
[Objective] Traditional lithology identification methods suffer from low accuracy, slow recognition speed, and poor generalization performance, thus there is an urgent need for an efficient and accurate solution.
XIAO Kun, YANG Pengbo, YANG Yaxin, HU Xudong, LI Hongxing, HUANG Xiao, WANG Dianxue, JIAO Changwei, HE Rong, CHEN Mengshi, YIN Dening   +10 more
doaj   +1 more source

Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu, Leonardo Feltrin, Eleanor C. R. Green   +2 more
wiley   +1 more source

Integrating Deep Learning and Distance‐Based Clustering to Optimize the Field Scale In Situ Uranium Leaching System in Heterogeneous Reservoirs

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Utilization of the integrated simulation‐optimization models for supporting decisions of the in situ leaching (ISL) design of uranium (U) mining is often hampered by the physicochemical heterogeneity within the sandstone reservoirs. Nevertheless, the conventional way suffers from a high conceptual uncertainty due to almost ubiquitous ...
Wenjie Qiu, Dianguang Liu, Yun Yang, Jian Song, Weimin Que, Zhengbang Liu, Haicheng Weng, Jianfeng Wu, Jichun Wu   +8 more
wiley   +1 more source

Geo-Environmental Models of In-Situ Leaching Sandstone-Type Uranium Deposits in North China: A Review and Perspective

, 2023
Since the 1990s, sandstone-type uranium in the northern basin of China has become the main target for mining. Uranium mining can cause a series of impacts on the environment.
Junfeng Dou, Rui Zuo, Fuxin Zheng, Jingdan Hu, Yanguo Teng, Yuanzheng Zhai   +5 more
core   +1 more source

Transformation of Fe-bearing minerals from Dongsheng sandstone-type uranium deposit, Ordos Basin, north-central China: Implications for ore genesis

American Mineralogist, 2022
Abstract Iron-bearing mineral assemblages and their distribution patterns directly reflect the redox environment in sediments, which plays a decisive role in the migration and precipitation of U. The Dongsheng sandstone-type U deposit hosted in fluvial and/or deltaic sandstones of the lower member of the Middle Jurassic Zhiluo Formation ...
Liang Yue, Yangquan Jiao, Mostafa Fayek, Liqun Wu, Hui Rong, Huili Xie   +5 more
openaire   +1 more source

The Neoproterozoic Throssell Range Group, Western Australia: A Peri‐Marginal Continental Basin in Rodinia and Its Implications for the Centralian Superbasin

Basin Research, Volume 38, Issue 1, January–February 2026.
This study of recent exploration drillcore reveals two sequences separated by a disconformity. Basal alluvial fan to shallow marine lithofacies suggest reactivation of basement faults, and a distinct upwelling signature points to a flooded margin, controlled by differential subsidence of diverse Proterozoic lithosphere.
Ross B. Campbell, Peir K. Pufahl, Penelope Sinclair, Erin L. Martin, Lillian H. Cybulski, Urmidola Raye, Paul Polito, Rebecca Church, Marina Joury, Daniel Layton‐Matthews   +9 more
wiley   +1 more source