- Write by:
-
Monday, September 5, 2022 - 14:38:54
-
588 Visit
-
Print
Mining News Pro - A recent study published in the Journal of Geophysical Research: Solid Earth, presents two novel machine learning techniques to identify new, deeply buried porphyry copper deposits by characterizing magma fertility.
Fertile magma refers to magmas that can form porphyry deposits.
According to the paper’s authors, their main objective was to improve traditional geochemical indicators plagued by high false-positive rates.
To achieve such a goal, the researchers developed two algorithms, which they called ‘random forest’ and ‘deep neural network.’ They formulated the models using a global dataset of zircon chemistry, which is normally employed to evaluate the porphyry copper deposits in magma.
In detail, they focused the models on 15 trace elements. They then validated the models with independent data sets from two well-characterized porphyry copper deposits in south-central British Columbia, Canada, and Tibet, China.
Both models resulted in a classification accuracy of 90% or greater. The ‘random forest’ model exhibited a false-positive rate of 10%, whereas the ‘deep neural network’ model had a 15% false-positive rate. In comparison, traditional metrics report false positives at a 23%–66% rate.
Europium, yttrium, neodymium, cerium, and other elements emerged as significant indicators of magma fertility.
The models’ performances show that the algorithms can distinguish between fertile and barren magmas using trace element ratios. Notably, model performance was not affected by regional differences or geologic settings.
In the scientists’ view, as the demand for rare earth elements, minerals, and metals surges, machine learning is going to continue to be used as a robust, accurate, and effective approach for identifying and locating porphyry copper resources.
Short Link:
https://www.miningnews.ir/En/News/622106
Barrick Gold Corp.’s chief executive officer says the gold miner will continue to host virtual-only annual general ...
China’s copper producers are planning to export up to 100,000 metric tons of metal, the largest volume in 12 years, ...
A takeover of Anglo American Plc would need to be pitched at more than £30 ($37.6) per share, a higher price than BHP ...
Barrick Gold is not interested in bidding for Anglo American, which last week received a $39 billion takeover offer from ...
Jiang Weiping, the founder of major Chinese lithium producer Tianqi Lithium Corp., resigned as chairman after the ...
BHP Group can’t cherry pick Anglo American assets without paying a hefty premium, Anglo investors told Reuters, ...
Anglo American faced calls from shareholders on Monday to detail plans for improving its value in order to fend off ...
Copper slipped after initially extending gains above $10,200 a ton as traders turned their attention to demand ...
Glencore expects profit at its trading division this year to be at the top end of its long-term annual guidance, in an ...
No comments have been posted yet ...