scholarly journals Geostatistical Estimation of Multi-Domain Deposits with Transitional Boundaries: A Sensitivity Study for the Sechahun Iron Mine

Minerals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 115 ◽  
Author(s):  
Sara Kasmaee ◽  
Giuseppe Raspa ◽  
Chantal de Fouquet ◽  
Francesco Tinti ◽  
Stefano Bonduà ◽  
...  
Keyword(s):  
Mineral Resource ◽  
Sensitivity Study ◽  
Accurate Estimate ◽  
Resource Estimation ◽  
Real Application ◽  
Grade Estimation ◽  
Boundary Identification ◽  
Geostatistical Estimation ◽  
Iron Mine ◽  
Geological Information

In mineral resource estimation, identification of the geological domains to be used for modeling, and the type of boundaries dividing them, is a major concern. Generally, the variables within a domain are estimated with an assumption of the hard boundaries (sharp contact). However, in many cases, the geologic structures that generate a deposit are transitional (overlapping of several geologic domains). Consequently, boundary identification of the geological domains is essential for an accurate estimate of resources. This paper considers a real application to examine whether the addition of geologic information benefits grade estimation in the presence of transitional boundaries. Results proved that the accuracy of the grade estimation can be improved by adding geological information and there is a significant sensitivity in grade estimation results in the existence of transitional boundaries.

scholarly journals Empirical Application of Generalized Rayleigh Distribution for Mineral Resource Estimation of Seabed Polymetallic Nodules

2021 ◽  
Author(s):  
Gordon Yu ◽  
John Michael Parianos
Keyword(s):  
Mineral Resource ◽  
Reasonable Agreement ◽  
Field Measurements ◽  
Rayleigh Distribution ◽  
Core Sample ◽  
Resource Estimation ◽  
Mining Equipment ◽  
Polymetallic Nodules ◽  
Generalized Rayleigh Distribution ◽  
Offshore Mining

An effective empirical statistical method is developed to improve the process of mineral resource estimation of seabed polymetallic nodules and is applied to analyse the abundance of seabed polymetallic nodules in the Clarion Clipperton Zone (CCZ). The newly proposed method is based on three hypotheses as the foundation for a model of “Idealized Nodules”, which was validated by analysing nodule samples collected from the seabed within the Tonga Offshore Mining Limited (TOML) exploration contract. Once validated, the “Idealized Nodule” model was used to deduce a set of empirical formulae for predicting the nodule resources, in terms of Percentage Coverage and Abundance. The formulae were then applied to analysing a total of 188 sets of nodule samples collected across the TOML areas, comprising box-core samples and towed camera images collected by one of the authors and detailed in [4]. The analysis also relies upon detailed box-core sample measurements from other areas reported by [7]. Numerical results for resource prediction were compared with field measurements, and reasonable agreement has been achieved. The new method has the potential to achieve more accurate mineral resource estimation with reduced sample numbers and sizes. They may also have application in improving the efficiency of design and configuration of mining equipment.

Mineral Resource Estimation (M.E. Rossi and C.V. Deutsch)

2016 ◽  
Vol 111 (1) ◽  
pp. 272-274
Author(s):  
Mark J. Mihalasky
Keyword(s):  
Mineral Resource ◽  
Resource Estimation

scholarly journals Understanding Geology and Structure: An Essential Part of Mineral Resource Estimation

2018 ◽  
Vol 2018 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Bert De Waele ◽  
Mathieu Lacorde ◽  
Michael Cunningham ◽  
Benjamin Jupp
Keyword(s):  
Mineral Resource ◽  
Resource Estimation

scholarly journals Application of geostatistics to complete uranium resources estimation of Rabau Hulu Sector, Kalan, West Kalimantan

2020 ◽  
Vol 200 ◽  
pp. 06001
Author(s):  
Roni Ciputra ◽  
Suharji Suharji ◽  
Dhatu Kamajati ◽  
Heri Syaeful
Keyword(s):  
3D Modeling ◽  
Gamma Ray ◽  
Block Size ◽  
Mine Planning ◽  
Resource Estimation ◽  
Block Model ◽  
West Kalimantan ◽  
Geostatistical Estimation ◽  
Uranium Exploration ◽  
Minimum Block

Kalan is one of the focus areas for uranium exploration in West Borneo that conducted by BATAN. Situated in the central part of Kalan, previous works in Rabau Hulu Sector consisted of surface geology and radiometric anomaly mapping, trenching, drilling, logging, and conventional uranium resource estimation. Nevertheless, the complete resource estimation of the previous work was still using 2D modeling, and the latest one using 3D modeling is a method-application case study in one orebody. To increase the confidence level and completing the uranium resource estimation of all orebodies in this sector, a geostatistical estimation with 3D orebody modeling using SURPAC mine planning software was conducted in this paper. Gamma-ray log data from 32 drill holes were collected and then interpreted to obtain uranium grade-thickness data. Based on the correlation of grade-thickness data according to surface orebody orientation, the orebody 3D modeling was done. It resulted in 26 orebodies with one control system of lithology as the mineralization only taken place in the quartzite unit. This 3D model then used as a constraint for block model with 4x4x2 m block size and 0.25x0.25x0.125 m minimum block size. Block model calculation was performed using ordinary kriging which generated the kriging efficiency attribute for the determination of the resource category. Within 25 meters searching radius, the calculation resulted in 408, 480 tons of ore, while total uranium resource was 268 tons of uranium with 677 ppm average grade. There were 214 tons of uranium (79%) categorized as measured while the other 54 tons of uranium (21%) categorized as indicated.

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