The Contouring Accuracy of Polymetallic Nodules Ore Fields in the Interoceanmetal (IOM) Area, East Pacific Ocean Jacek Mucha and Monika Wasilewska-Błaszczyk AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Department of Economic Geology, Mining Geology Unit Kraków, Poland ABSTRACT The accuracy of area estimations was evaluated for the ore fields within the East Pacific polymetallic nodules deposit licenced to the Interoceanmetal Joint Organization (IOM). The ore fields were contoured using various cut-off values of nodules abundance. It was found that accuracies of both the contouring and the area estimations of high-grade ore fields are low, if based solely on the results of ocean floor sampling. Comparison was made of ore fields areas estimated using two parameters: the minimum abundance of nodules and the minimum abundance of nickel equivalent. An attempt was made to apply the geostatistical methods to evaluate the accuracy of estimations of ore fields areas. The difficulties were highlighted of the usage of geostatistical methods in exploration of polymetallic nodules deposits due to irregular sampling grids. KEY WORDS: Nodules; abundance; sampling; geostatistics; estimation; accuracy. INTRODUCTION The resources estimations of polymetallic nodules deposits require the knowledge of the areas of ore fields for which the nodules abundance values exceed the presumed cut-off values for particular ore field. The resources can be estimated using the simple formula: Q=KF (1) where: K average abundance of nodules calculated with geostatistical or statistical methods, F area of ore field contoured by the boundary value (cut-off) resulted from economic evaluations. The resources estimation error depends on the estimation errors of both values. If the values are independent the relative error of resources estimation is given by the formula: 2 2 RF RK RQ (2) where: σ RK relative estimation error of nodules average abundance [%], σ RF relative estimation error of ore field area [%]. The evaluation of estimation accuracy of ore fields areas based upon the ocean floor sampling is difficult due to complicated pattern of ore- fields contours and low density of sampling sites. Generally, the fully credible evaluation is attained as late as during the development of mining operations. The standard estimation error of ore field area (geometric error) can be preliminary prognosed theoretically using the geostatistical method (Journel, Huijbregts 1978). However, this method requires the regular (rectangular) or, at least, the pseudo-regular sampling grid, which is rather difficult to obtain in exploration practice of the ocean-floor polymetallic nodules. Some opportunities of provisional estimation of this error are provided by densification of a part of sampling grid in an ore field. This is the case of a fragment of polymetallic nodules deposit licensed to the Interoceanmetal Joint Organization (IOM) in the Clarion Clipperton fracture zone, East Pacific (Kotliński 2010). The fragment is named below as the N11 polygon (Fig. 1). In that area two sampling stages were executed: primary sampling in 2006 and secondary sampling (grid densification) in 2009. The contours of ore fields were determined using the ordinary kriging procedure with the Yamamoto correction for the two cut-off values of wet nodules abundance: 10 and 15 [kg/m 2 ]. Depending on demand and prices of metals contained in nodules, these richer fragments of deposit area can be profitably exploited. Additionally, the contours of ore fields were determined with an alternative criterion based upon the minimum abundance of nickel equivalent a parameter which takes advantage of the contents of four principal metals present in the nodules: Ni, Cu, Co and Mn. 53 Proceedings of the Tenth (2013) ISOPE Ocean Mining and Gas Hydrates Symposium Szczecin, Poland, September 22-26, 2013 Copyright © 2013 by The International Society of Offshore and Polar Engineers (ISOPE) ISBN 978-1-880653-92-0; ISSN 1946-0066 www.isope.org