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AN EXAMPLE OF THE APPLICATION OF AUTO‐CORRELATION AND SPECTRAL ANALYSIS IN MINING EXPLORATION *
Author(s) -
SARMA D. D.
Publication year - 1974
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1974.tb00115.x
Subject(s) - lode , logarithm , geology , spectral analysis , correlation , mineral exploration , noise (video) , autocorrelation , statistics , mineralogy , mathematics , computer science , geophysics , physics , artificial intelligence , mathematical analysis , paleontology , spectroscopy , geometry , quantum mechanics , image (mathematics)
A bstract This paper deals with a case study on the application of auto‐correlation and spectral analysis methods to mineral assay data taken along seven drives and two winzes concerning the McTaggart's (West) lode of Kolar gold fields. The general model conceived in this study is: measured (estimated) ore grade at j th location = true value + error at j th location. Employing an auto‐correlation function of the form C e ‐ a | k | for signals , the respective contributions of signals and noise to the total logarithmic variances for the data along drives and winzes are analysed. Smoothed spectral density estimates and their 90% confidence limits are computed for the series of data.