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Trace element fingerprinting in the Gulf of Mexico volcanic ash

Master of Science / Department of Geology / Matthew W. Totten / Sands rich in volcanic ash have been encountered within the late Cenozoic
sequence offshore Louisiana in the northern Gulf of Mexico. These beds are identified on
well logs by their high radioactivity and low density. Paleontologic markers used to date
these deposits give dates that are consistent with eruptions from the Snake River Plain
(SRP) and Yellowstone calderas. Lead isotope ratios from the Gulf of Mexico samples
are also consistent with the SRP-Yellowstone tuffs. The objective of this study was to
compare the rare earth element (REE) and other trace element data from the GOM
samples to determine whether they may be differentiated from one another, and also
whether they compare to the SRP data.
Well cuttings and sidewall core samples from sixteen wells known to contain
volcanic ash were density separated using lithium metatungstate to isolate the low density
volcanic glass from the remaining minerals. The concentrated ash was dissolved
and analyzed using ICP-MS. Trace and REE variations were plotted by depositional age
based upon paleontological markers.
Variations in most trace elements are not useful criteria for discriminating ash by
age. There is a wide spread in fairly mobile elements (i.e. Sr, Ba), suggesting that each
ash bed has had a different diagenetic history. REE variations, in particular the magnitude
of the Europium anomaly and the degree of fractionation between light and heavy REE,
are good discriminates of each ash. A few anomalous samples plot within an older field,
which might be explained by reworking of older ash into younger deposits. Direct
correlation to SRP-Yellowstone eruptions is hindered by the lack of SRP samples
analyzed using similar methods.

  1. http://hdl.handle.net/2097/863
Identiferoai:union.ndltd.org:KSU/oai:krex.k-state.edu:2097/863
Date January 1900
CreatorsJones, Christina
PublisherKansas State University
Source SetsK-State Research Exchange
Languageen_US
Detected LanguageEnglish
TypeThesis

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