I performed statistical analysis of shipboard physical properties data from the
Ocean Drilling Program to investigate relationships between the physical properties data
and the lithology of deep ocean cores. The use of non-invasive experiments on deep-sea
core samples offers a near real-time view of sediments and requires little user interaction
or interpretation. The speed, density, and accuracy of these experiments make efficient
use of limited space and expensive ship time. The fact that these experiments are noninvasive
also allows for further post-cruise studies.
For the study I chose Leg 162 (July-September 1995 in the North Atlantic) for the
density of data, the experiments performed, the quantity and quality of post-cruise
publications and the influence of different, yet dominant, environments. Combining
similar lithologies across a Leg increased sample size and offered a more statistically
normalized sample. Interpolation of the physical properties data matched the intervals
used for the lithological determinations. Statistical methods included univariate and
multivariate correlation matrices, mean and standard deviations, the significance of the
correlations, and a model equation for each lithology and the Leg as a whole. By looking
at the physical properties, one can estimate the lithology. This research is important because sedimentological and geophysical approaches
can be merged to offer a more accurate, more detailed view of the depositional history of
oceanic cores. Through statistical analysis of geophysical data, the findings duplicate the
findings of the sedimentologists without the painstaking examinations typical of this type
of research. Performing experiments and analysis quickly and accurately with minimal
operator error allows for immediate discussions and results.
Use of this research as a data verification tool provides the ability to distinguish
data acquisition problems and misidentifications. This application has proven invaluable
for allowing a non-sedimentologist quantitative insight into the lithology.
Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3950 |
Date | 16 August 2006 |
Creators | Clark, Paula Ann |
Contributors | Gibson, Richard |
Publisher | Texas A&M University |
Source Sets | Texas A and M University |
Language | en_US |
Detected Language | English |
Type | Book, Thesis, Electronic Thesis, text |
Format | 5455352 bytes, electronic, application/pdf, born digital |
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