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Optimizing the model of lateritic nickel deposit by using multivariate geostatistics and land cover analysis
a Earth Resources Exploration Research Division, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung (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]The characteristic of mineralization zone in lateritic nickel deposit is relatively complex, especially when the presence of fractured filled by garnierite in saprolitic zone is frequently. This situation will generate variogram of Ni grade having higher nugget variance when the data spacing is closer, although statistically the distribution of Ni grade is commonly normal. Garnierite is the main nickel ore mineral and saprolitic zone is the main mineralization zone (high grade) in lateritic system. This study discusses the case of lateritic nickel deposit in Gee and Pakal Islands, East Halmahera, North Maluku Province, Indonesia. The zones or profile in lateritic nickel deposit from the top to bottom respectively are: topsoil, limonitic zone, high saprolitic zone, low saprolitic zone, and bedrock. The mining is commonly conducted from the top of limonitic zone up to the top of bedrock. Unfortunately the exploration drilling does not always contact the top of bedrock. This problem will generate the not optimum reserve, and further it will not match to the production data. In this study, multivariate geostatistics via ordinary cokriging is used to estimate the top of bedrock by using the bottom of upper zone as secondary data. This estimation should produce the more optimum nickel reserves compared to others conventional estimation methods. In other side, this study discusses the spatial correlation between land cover parameters produced from the analysis of satellite images (Landsat-TM and ASTER images as well as DEM) and the thickness of lateritic deposit which is obtained from the kriging estimation based on morphology classification. The result showed that forest canopy index which represents the vegetation density positively correlated to the thickness of topsoil zones chiefly in the slope morphology, and the correlation became smaller toward the lower part of lateritic zones.[/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]Exploration drilling,Land cover analysis,Mineralization zone,Morphology classification,Multivariate geostatistics,Nickel laterite,Ordinary co-kriging,Spatial correlations[/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]Land cover analysis,Multivariate geostatistics,Nickel laterite[/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][/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]