Prediction of Fe and Cu Mineral Distribution Using Rock Physics and Geoelectrical Method: a Case Study in ModADA - Timika, Papua

摘要

Tailing is the waste generated from mining activities, and its presence in the world of mining cannot be avoided. As waste, it is considered to contain minerals rich in Fe and Cu. This research aims to reveal the metal distribution of both vertical and lateral, using geoelectric resistivity. From the results of chemical analysis of sediment deposition contains be 6.14 % - 8.88 % of Fe metal and 0.16 % - 0.25 % of Cu. It consist also around magnetite (34.35 % - 59.85 %), Pyrite (18.3 % - 29.71 %, Quartz (15.31 % - 25.43 %), Garnet (1.73 % - 3 %), Rutile (0.46 %), Chalcopyrite (0.17 % - 1.46 %), Pyroxene (0.8 % - 2.35 %), Hematite (3.49 %) and Iron oxide (1.80 % - 4.81 %). Geoelectric data show a conductive layer with resistivity type between 1.38 ohm m - 47.3 ohm m. If this layer is correlated with well data, the deposition of sediment contains of Fe between 5.3 % - 8.2 % and Copper between 0.18 % - 0.23 %. This method is based on rock physics which done by correlating many laboratory experiment, field measurements and well data. Prediction of Fe and Cu found on every line is good enough, this is indicated by the RMS error of less than 5 %, against the actual data in each of the wells. Therefore, it shown that we can image the distribution of Fe and Cu accurately using the method.