Introducing a software to calculate the grade and ore deposit probability related problems
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Abstract
Different cut-‐off grades are usually considered for an ore deposit through feasibility study step and according to the distribution model, corresponding tonnage of ore reserve for each assumed cut-‐off grade is determined. Obviously, each determined tonnage of ore reserve has its individual mean grade. Thus, the tonnage of ore reserve and the mean grade of each hypothetical cut-‐off grade may be demonstrated as grade-‐tonnage curve. The tonnage of ore reserve and the mean grade corresponding to each desirable cut-‐off grade can be determined using alternative approaches. A simple method well-‐suited to grades having normal distribution has been taking advantage of probability tables and charts prepared based on some mathematical relations. Based on the expanded concept of methodology involved, in this work it was attempted to provide software by means of which the tonnage and grade can be determined and the probability may be analyzed and calculated. Input dataset analysis of less time and more accuracy can be indicated as benefits of this approach while manual operation is certainly time-‐consuming and of less precision.
Keywords: Normal distribution, Mean grade, probability, Tonnage of ore reserve.
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References
[2] Hasanipaak, A.A. (2003). Exploration Data Analysis, 2nd Edition, Tehran University Publishing Co, Tehran. (In Persian)
[3] Nikookar, M. (2000). Applied Statistics, Azadeh Publishing Co, Tehran. (In Persian)
[4] Michael, D. (1987). Geostatistical Ore Reserve Estimation, Elsevier Scientific Publishing Co.
[5] Madani, H. (1993). Songun Porphyry Copper Evaluation, Amir Kabir University of Technology, Mining Department. (In Persian)
[6] Hasanipaak, A. A. (1998). Geostatistics, Tehran University Publishing Co, Tehran. (In Persian)