Classification of Logging Data Using Machine Learning Algorithms
A log data analysis plays an important role in the uranium mining process. Automating this analysis using machine learning methods improves the results and reduces the influence of the human factor.
Ravil Mukhamediev +6 more
doaj +1 more source
Evidence for the Neoproterozoic Rifting of Rodinia in the Rocky Mountain Front Range
Abstract Recent advances in low‐temperature thermochronology enable the recovery of deep‐time thermal histories from Precambrian crystalline rocks shaped by multiple tectonic events, offering unprecedented opportunities to test tectonic hypotheses and links to significant biologic and climatic episodes. In particular, the late Neoproterozoic breakup of
Kendra E. Murray +2 more
wiley +1 more source
Cooperative exploration methods of coal and uranium deposits in coal-bearing strata
The cooperative exploration of coal and uranium deposits in coal-bearing strata has become a significant direction in the research for mineral resources, in order to improve the exploration efficiency,and save the exploration cost, the basic ...
Yingchun WEI +6 more
doaj +1 more source
In prompt fission neutron uranium logging, borehole environmental parameters affect the measured results and must be corrected. In order to explore the influence of borehole parameters on the interpretation of logging results, this paper builds a ...
Pengfei Zhou, Bin Tang
doaj +1 more source
The rising global energy demand has driven researchers to locate new uranium deposits, with sandstone types contributing nearly 40 per cent of uranium production. The present review provides a comprehensive understanding of the genesis and classification and mentions some global examples of sandstone-type uranium deposits, the focus being on the ...
Shreya Sharma, Rishikesh Bharti
openaire +1 more source
Tamusu, the only identified super-large sandstone-hosted uranium deposit in the Bayingobi Basin, provides an important natural laboratory for evaluating ore-controlling factors and genetic models of sandstone-type uranium mineralization. Based on core descriptions from more than 200 boreholes, log facies analysis and geochemical environmental proxies ...
Chao Lu +9 more
openaire +1 more source
87th Annual Meeting of the Meteoritical Society 2025: Abstracts
Meteoritics &Planetary Science, Volume 60, Issue S1, Page 30-350, August 2025.
wiley +1 more source
The chemical damage of sandstone after sulfuric acid-rock reactions with different duration times and its influence on the impact mechanical behaviour. [PDF]
Niu Q +9 more
europepmc +1 more source
Reactive transport numerical modeling of CO<sub>2</sub>+O<sub>2</sub> <italic>in-situ</italic> leaching in sandstone-type uranium ore [PDF]
WenJie QIU +8 more
openaire +1 more source
Geological Characteristics and Control Mechanism of Uranium Enrichment in Coal-Bearing Strata in the Yili Basin, Northwest China-Implications for Resource Development and Environmental Protection. [PDF]
Bai H +5 more
europepmc +1 more source

