Then, the 2D cross section correlated with borehole data using ArcGis, so it can be interpreted. The inversion results is a 2D cross sections. It use 2D inversion using RES2DINV to turn apparent resistivity into true resistivity. This study is conducted to understand the profile of nickel laterite deposits based on resistivity analysis. Geophysical survey used is geoelectrical mapping or electrical resistivity tomography (ERT) with gradient configuration. This study is one of the stages of nickel exploration, that is geophysical survey. Vale Indonesia, Tbk which become of area focus of studies. As an effort to the fulfillment of a need nickel, much nickel exploration in Indonesia is done in Sulawesi Selatan, one of them placed in VDM field, area of PT. Nickel mining become an important industry sector considering the number of nickel use. Kata kunci : eksplorasi, tambang, geolistrik, electrical resistivity tomography, nikel laterit, resistivitas. Variasi nilai resistivitas dipengaruhi oleh berbagai hal, contohnya kandungan mineral dan faktor kedalaman ketiga zona ini dikontrol oleh intensitas pelapukan tanahnya. Batuan dasar terletak pada kedalaman >21 m dengan nilai resistivitas 101 sampai >801 Ohm.m.
Saprolit memiliki kedalaman 16 - 30 m dengan nilai resistivitas 101 - 200 Ohm.m. Limonit memiliki kedalaman 0 - 10 m dengan nilai resistivitas 201 - 350 Ohm.m. Hasil interpretasi yang didapatkan berupa tiga profil deposit yaitu limonit, saprolit, dan batuan dasar.
#Cara mengekspor data res2dinv ke arcgis software#
Penampang 2D kemudian dikorelasi dengan data bor menggunakan software ArcGis kemudian diinterpretasi. Resistivitas sesungguhnya dimodelkan secara 2D. Inversi 2D dalam software RES2DINV digunakan untuk mengubah resistivitas semu menjadi resistivitas sesungguhnya. Penelitian ini bertujuan mengetahui karakteristik profil deposit nikel laterit berdasarkan analisis sifat resistivitas. Survei geofisika metode geolistrik mapping atau electrical resistivity tomography (ERT) dilakukan dengan konfigurasi gradien. Penelitian ini merupakan salah satu tahapan eksplorasi nikel, yaitu survei geofisika. Vale Indonesia, Tbk yang menjadi daerah fokus penelitian. Eksplorasi nikel di Indonesia banyak dilakukan di Sulawesi Selatan, salah satunya di lapangan VDM area PT. Sebagai upaya pemenuhan kebutuhan nikel, berbagai cara dilakukan termasuk eksplorasi.
You can avoid this shift by using the input raster as the Snap Raster in the environment.Penambangan nikel menjadi sektor industri penting mengingat banyaknya penggunaan bahan tersebut. Consequently, the output features will shift as well, and the resultant output features may not overlay the original input raster exactly. This shift will trigger a resampling of the input raster using the Nearest Neighbor method.
If Extent is specified in the environment setting and the lower-left corner of the output extent does not match any cell corner of the input raster, during processing, a shift of the cell alignment of the input raster will occur to match the specified extent. This parameter produces similar output as created by the Dice tool. This is particularly useful when output features contain a very large number of vertices. The Maximum vertices per polygon parameter can be used to subdivide a polygon into smaller polygons based on a specified vertex limit. The grouping process is similar to what is used in the Dissolve tool. However, if the output feature class contains a very large number of features, it may cause an out of memory error. If the Create multipart features parameter is checked ( MULTIPLE_OUTER_PART in Python), the output will be a multipart feature class and, on average, process faster. Comparing the output with different simplify options The result is presented for both the settings of the Simplify parameter. The following graphic illustrates how the input raster is vectorized when it is converted to a polygon feature output. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Gridcode in the attribute table of the output feature class. The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. The input raster can have any cell size and must be a valid integer raster dataset.
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