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Prediction of Fe and Cu mineral distribution using rock physics and geoelectrical method: A case study in ModADA – Timika, Papua
Virmana, Nurhandoko B.E.B.b, Notosiswoyo S.c, Sulistijo B.c
a Department of Mining, Faculty of Engineering Uncen, Indonesia
b Department of Physics, Faculty of Mathematics and Natural Sciences and Technology, Indonesia
c Department of Mining, Faculty of Mining and Petroleum, ITB, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]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. © 2010 American Institute of Physics.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Rock physics,Tailing,Wenner configuration[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.3537882[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]