Scientists turn to big data in hunt for
minerals, oil and gas
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[August 02, 2017]
By Alister Doyle
OSLO (Reuters) - Scientists searching for
everything from oil and gas to copper and gold are adopting techniques
used by companies such as Netflix or Amazon to sift through vast amounts
of data, a study showed on Tuesday.
The method has already helped to discover 10 carbon-bearing minerals and
could be widely applied to exploration, they wrote in the journal
American Mineralogist. "Big data points to new minerals, new deposits,"
they wrote of the findings.
The technique goes beyond traditional geology by amassing data about how
and where minerals have formed, for instance by the cooling of lava
after volcanic eruptions. The data can then be used to help find other
deposits.
"Minerals occur on Earth in clusters," said Robert Hazen, executive
director of the Deep Carbon Observatory at the Carnegie Institution for
Science in Washington and an author of the study.
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"When you see minerals together it's very like the way that humans
interact in social networks such as Facebook," he said.
Hazen said the technique was also like Amazon, which recommends books
based on a client's previous orders, or by media streaming company
Netflix, which proposes movies based on a customer's past viewing
habits.
"They are using vast amounts of data and make correlations that you
could never make," he told Reuters.
Lead author Shaunna Morrison, also at the Deep Carbon Observatory and
the Carnegie Institution, said luck often played a big role for
geologists searching for new deposits.
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The Netflix logo is pictured on a television remote in this
illustration photograph taken in Encinitas, California, U.S.,
January 18, 2017. REUTERS/Mike Blake
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"We are looking at it in a much more systematic way," she said of
the project. (https://mineralchallenge.net/)
Among the 10 rare carbon-bearing minerals discovered by the project
were abellaite and parisaite-(La). The minerals, whose existence was
predicted before they were found, have no known economic
applications.
Gilpin Robinson, of the U.S. Geological Survey (USGS) who was not
involved in the study, said the USGS had started to collaborate with
the big data project.
"The use of large data sets and analytical tools is very important
in our studies of mineral and energy resources," he wrote in an
email.
The DCO project will also try to collect data to examine the
geological history of the Moon and Mars.
(Reporting By Alister Doyle; Editing by Catherine Evans)
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