Geostatistics-Based Method for Irregular Mineral Resource Estimation, in Ouenza Iron Mine, Northeastern Algeria

Author(s):  
Oussama Zerzour ◽  
Larbi Gadri ◽  
Riheb Hadji ◽  
Faouzi Mebrouk ◽  
Younes Hamed
Minerals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 115 ◽  
Author(s):  
Sara Kasmaee ◽  
Giuseppe Raspa ◽  
Chantal de Fouquet ◽  
Francesco Tinti ◽  
Stefano Bonduà ◽  
...  

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.


Author(s):  
Gordon Yu ◽  
John Michael Parianos

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.


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

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

Author(s):  
Mario E. Rossi ◽  
Clayton V. Deutsch

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