Trace element fingerprinting in the Gulf of Mexico volcanic ash

Date

2008-06-18T15:25:41Z

Journal Title

Journal ISSN

Volume Title

Publisher

Kansas State University

Abstract

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.

Description

Keywords

Geology, Geochemical, Fingerprinting, Ash

Graduation Month

August

Degree

Master of Science

Department

Department of Geology

Major Professor

Matthew W. Totten

Date

2008

Type

Thesis

Citation