Next Article in Journal
Role of DTAB and SDS in Bubble-Particle Attachment: AFM Force Measurement, Attachment Behaviour Visualization, and Contact Angle Study
Previous Article in Journal
Effect of Al (III) Ions on the Separation of Cassiterite and Clinochlore Through Reverse Flotation
Article Menu

Export Article

Open AccessArticle
Minerals 2018, 8(8), 348; https://doi.org/10.3390/min8080348

New Outlier Top-Cut Method for Mineral Resource Estimation via 3D Hot Spot Analysis of Borehole Data

1
Division of Graduate Education for Sustainability of Foundation Energy, Seoul National University, Seoul 08826, Korea
2
Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea
3
Department of Energy Resources Engineering, Seoul National University, Seoul 08826, Korea
*
Author to whom correspondence should be addressed.
Received: 18 July 2018 / Revised: 31 July 2018 / Accepted: 9 August 2018 / Published: 11 August 2018
View Full-Text   |   Download PDF [5620 KB, uploaded 11 August 2018]   |  

Abstract

Three-dimensional (3D) analysis of borehole data is very important for effective mineral exploration. It can be used not only to understand the geological structure of the underground, but to estimate the amount of the resource. In the mining industry, the geostatistical interpolation, such as kriging, is widely used to predict the value of a whole section using this borehole data. In order to obtain reasonable prediction results, it is firstly necessary to verify assay and geological databases. In addition, if the assayed grade data deviates significantly from the average value, it is necessary to perform the prediction including the outlier top-cut because it may excessively affect the predicted value. However, the existing top-cut methods of determining a specific threshold value may cause an error by excluding significant data. In this study, to minimize the loss of such data, we developed a 3D hot spot analysis technique to analyze statistically significant outliers. In addition, it was applied to borehole data analysis of the Au deposit. As a result, we confirmed that the proposed method can mitigate the overestimation or underestimation that might occur when applying the existing methods. View Full-Text
Keywords: hot spot analysis; resource estimation; top-cut; kriging; outlier hot spot analysis; resource estimation; top-cut; kriging; outlier
Figures

Figure 1a

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kim, S.-M.; Choi, Y.; Park, H.-D. New Outlier Top-Cut Method for Mineral Resource Estimation via 3D Hot Spot Analysis of Borehole Data. Minerals 2018, 8, 348.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Minerals EISSN 2075-163X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top