Evaluation of performance of non-linear geostatistical estimation methods to estimate tonnage-grade of the Chah-bashe iron deposit, Yazd province

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AHMADI REZA; Fereidooni Hossein

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Paper Information

Journal: ADVANCED APPLIED GEOLOGY Year:2019 | Volume:9 | Issue:2 (32) Page(s): 68-82

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Title

Evaluation of performance of non-linear geostatistical estimation methods to estimate tonnage-grade of the Chah-bashe iron deposit, Yazd province

Author(s)

AHMADI REZA | Fereidooni Hossein | Issue Writer Certificate

Keywords

Ordinary log-krigingQ1

Indicator krigingQ1

Sequential Gaussian Simulation (SGS)Q1

Datamine softwareQ1

Iron deposit of Yazd-Chah-basheQ1

Abstract

In this research, non-linear geostatistical methods containing block Ordinary log-kriging, Indicator kriging and sequential gaussian simulation as well as inverse squared distance from statistical methods (for comparison) have been employed to evaluate grade and ore reserve of the Chah-bashe iron deposit, Yazd provice. To achieve this goal, first statistical studies of assay data of exploratory boreholes were performed through determination of descriptive statistics, drawing the histograms and cumulative probability distribution diagrams of the data. For modeling the deposit, variography was also carried out through drawing various directional variograms using SGEMs software, MATLAB functions and short programming in this environment. Afterward, 3-D block modeling of the deposit, determination of average grade, ore reserve estimation and plotting tonnage-grade diagrams were performed using Datamine software. The results of the research show that sequential gaussian simulation, Indicator kriging, Ordinary log-kriging, and inverse squared distance methods have the minimum estimation variance, respectively. Although all selected methods are the most accurate geostatistical methods, however the results of sequential gaussian simulation method by applying various filters on the data such as using residual maps, is most highly accurate and more reliable so has more validity.

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APA: Copy

AHMADI, REZA, & Fereidooni, Hossein. (2019). Evaluation of performance of non-linear geostatistical estimation methods to estimate tonnage-grade of the Chah-bashe iron deposit, Yazd province. ADVANCED APPLIED GEOLOGY, 9(2 (32) ), 68-82. SID. https://sid.ir/paper/394961/en

Vancouver: Copy

AHMADI REZA, Fereidooni Hossein. Evaluation of performance of non-linear geostatistical estimation methods to estimate tonnage-grade of the Chah-bashe iron deposit, Yazd province. ADVANCED APPLIED GEOLOGY[Internet]. 2019;9(2 (32) ):68-82. Available from: https://sid.ir/paper/394961/en

IEEE: Copy

REZA AHMADI, and Hossein Fereidooni, “Evaluation of performance of non-linear geostatistical estimation methods to estimate tonnage-grade of the Chah-bashe iron deposit, Yazd province,” ADVANCED APPLIED GEOLOGY, vol. 9, no. 2 (32) , pp. 68–82, 2019, [Online]. Available: https://sid.ir/paper/394961/en

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