In this research work, the frequency domain (FD) of surface geochemical data was analyzed to decompose the complex geochemical patterns related to different depths of the mineral deposit. In order to predict the variation in mineralization in the depth and identify the deep geochemical anomalies and blind mineralization using the surface geochemical data for the Dalli Cu-Au porphyry deposit, a ...

VALLEYS: REGIONAL DISTRIBUTIONS OF SECONDARY MINERAL-PHASES AS CLIMATE INDICATORS AND IMPLICATIONS FOR MARS. M. B. Wyatt, J. W. Head, D. R. Marchant, R. P. Harvey, P. R. Christensen, M. R. Salvatore, and U. N. Horodyskyj, Dept. of Geological Sciences, Brown University, Providence, RI 02912, Dept. of Earth Sciences, Boston University, Boston, MA 02215 Dept. of Geological Sciences, Case Western R...

In this paper, a non-stationary errors-in-variables (EIV) model estimation method is proposed and applied to the problem of model estimation for noise-cancellation in transient electromagnetic mineral exploration. Alternative methods for noise cancellation in these systems rely on specific signal characteristics, and are thus less readily transferable to other applications. The proposed method ...

The Urumieh-Dokhtar Magmatic Arc (UDMA) is recognized as an important porphyry, disseminated, vein-type and polymetallic mineralization arc. The aim of this study is to identify and subsequently determine geochemical anomalies for exploration of Pb, Zn and Cu mineralization in Mial district situated in UDMA. Factor analysis, Concentration-Number (C-N) fractal model and Local Linear Model Tree (...

Figure 1. Power spectra of two time series recorded at different times in the Sudbury area (Canada). Evident is the increase in the amplitude for the nighttime hours (bold lines) compared to the daytime hours (light lines). The continuous lines denote real part and the dashed linesimaginary parts of the spectra. Advances in aspects of the application of magnetotellurics for mineral exploration ...