Current Science

V. Kameshwara Rao ¹, A. C. Narayana ¹

Affiliations
1 Centre for Earth and Space Sciences, University of Hyderabad, Hyderabad 500 046, IN

Abstract

Nonlinear geostatistics is commonly used in ore grade estimation and seldom used in lithological characterization. Categorization of lithological units is essential in ore grade estimation, and this can be done based on the lithological information obtained from drill-hole data. In general, a conventional classification method was used to delineate different lithological units using geological cross-sections derived from borehole logs. In this study, we suggest an approach based on geostatistical nonlinear indicator kriging (IK) to delineate different lithological units of an iron ore deposit. Iron ore has been broadly grouped into eight litho units based on physical and chemical characteristics of the core samples recovered from drill holes during exploration stage. IK helps in the construction of litho maps for different benches of the mining deposit. Fe grades were estimated using ordinary kriging model and grade maps were prepared for all the benches of the deposit. A comparison was done between the grades of each litho type resulting from the two methods, i.e. IK model and geological cross-sectional model and the relative merits of the IK approach have also briefly discussed.

Keywords

Grade Estimation, Indicator Semi-Variograms, Indicator Kriging, Lithological Maps, Nonlinear Geostatistics.

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Vishwas S. Kale ¹, A. C. Narayana ², Manoj K. Jaiswal ³

Affiliations
1 Formerly at the Department of Geography, SP Pune University, Pune 411 007, IN
2 Centre for Earth, Ocean and Atmospheric Sciences, University of Hyderabad, Hyderabad 500 046, IN
3 Department of Earth Sciences, Indian Institute of Science Education and Research, Kolkata 741 246, IN

Abstract

Sand sheets and mounds occur along the eastern bank of Hagari River in Anantapur district, Andhra Pradesh, India. These wind-blown sands are considered to be deposited by a flood about 1–2 centuries ago. Based on the description in the British era District Gazetteer, we infer that the sands were most likely deposited by a flash flood in May 1851.

Keywords

Aeolian Sands, Buried Temples, Desertification, Flash Floods, Flood Deposits.

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