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Spatial analysis 3D geology nickel using ordinary kriging method

Sri Suryani P.a, Sibaroni Y.a, Nur Heriawan M.b

a Computational Science, School of Computing, Telkom University, Indonesia
b Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung, 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]© 2016 Penerbit UTM Press. All rights reserved.Utilization of minerals to supply raw materials in various fields, causing diminishing reserves of the mine. Nickel is one of mine production are widely used today are in various applications and industries, such as coating steel, coating copper, industrial batteries, electronics, aerospace applications, the textile industry, and a variety of other functions. The activities to obtain continuous nickel had to be done by the mining industry. Therefore, it need to conduct nickel resources exploration to obtain optimum results. To obtain complete and accurate information accosiated with mineral resource and geological conditions of nickel mine in exploration activities, 3D spatial analysis is needed. This paper discusses the general process of 3D nickel geological modeling and also discuse spatial analysis results have been obtained on each layer. Analysis of the ferro (Fe) content is also considering because Fe is a material that greatly affects nickel content in a layer of soil. The analysis result shown, that show each layer has different characteristics. Layer 1 has a nearly 60% saprolite layer characteristics, while at layer 2, has nearly 70% saprolite.[/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]Geological modelling,Nickel,Ordinary kriging,Spatial[/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/10.11113/jt.v78.8340[/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]