SAGE Record 012, Bloxson et al.
Bloxson, J. M., M. C. Dix, G. Zanoni, T. Prather, A. Morrell, N. Nelson, H. Rowe, and H. Chambers, 2022, Application of principal component analysis on XRF core data from the Blossom Sand, Panola County, Texas: SAGE Record 012, 1 p. + supplemental material, <http://sagetech.org/sage_record_012_bloxson_et_al/>. Poster presentation at SAGE 2022, 23–25 March, Lafayette, Louisiana, and Virtual.
Application of Principal Component Analysis on XRF Core Data from the Blossom Sand, Panola County, Texas
Julie M. Bloxson (Stephen F. Austin State University, Nacogdoches, TX), Michael C. Dix (Premier Oilfield Group, Houston, TX), Giovanni Zanoni (Premier), Tim Prather (Premier), Austin Morrell (Premier), Nicholas Nelson (Premier), Harry Rowe (Premier), and Hannah Chambers (SFASU)
Principal Component Analysis (PCA) is a useful analytical tool that can identify relationships within large elemental datasets. The Blossom Sand in the East Texas Field is used as a case study to explain how PCA works, how to interpret the output, and how it can be used to better understand mineralogy.
