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Description:
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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 . |