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Mineral resource estimation - Wikipedia

Resource estimation is used to determine and define the ore tonnage and grade of a geological deposit, from the developed block model. There are different estimation methods (see below) used for different scenarios dependent upon the ore boundaries, geological deposit geometry, grade variability and the amount of time and money available.

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Assessment of uncertainty in grade-tonnage curves of a ...

PDF | Assessing uncertainty in grade-tonnage curves is rather crucial in resource estimation, as these curves provide information on how much ore within the deposit is above/below a given cut-off ...

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CiteSeerX — Synopsis

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): An economic argument is presented for the incorpora-tion of quantitative modelling of the uncertainty of grade, tonnage and geology into open-pit design and planning. Two new implementations of conditional simulation—the generalized sequential Gaussian simu-lation and direct block simulation—are outlined.

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(PDF) A review of cut-off grade policy models for open pit ...

In an open pit mining operation, the heterogeneity of the grade-tonnage distribution of the deposit dictates that all available material within the boundaries of an open pit may not be processed. Given this heterogeneity, it is imperative that the

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Quantifying -element and volumetric uncertainty ...

In these situations, tonnage is often under-estimated and grade is over-estimated, resulting in orebody models used for mine planning that lead to costly financial decisions. This paper presents an approach aiming to better assess the uncertainty in an orebody model.

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Resource Model Uncertainty at the Yandi Channel Iron ...

This paper considers a ple-point approach to capture the uncertainty of the lithological model. The implementation of the method at the Yandi channel iron ore deposit in Western Australia and performance characteristics are discussed. The uncertain lithological model translates into considerable grade-tonnage uncertainty.

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Grade Tonnage Curve: How Far Can It Be Relied Upon?

Grade Tonnage Curve: How Far Can It Be Relied Upon? 3 This study aims at calculating the grade tonnage curve by incorporating the blocks continuity and the uncertainty attached to it. For this purpose, in a first step, a set of simulated images of the orebody provide the grade tonnage curve and an uncertainty

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What the Heck is the Kriging Oxymoron and What Does it ...

Mar 05, 2016 · What the Heck is the Kriging Oxymoron and What Does it Have to do With Reserve Estimation? Published ... the SMU grade tonnage curves are regarded as predictors of the tonnes and grade .

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Uncertainty modeling of ore body and grades using single ...

The result shows that if the training image –based -point simulation is applied for ore body modeling, there would have been 7 % increase in volume as compared to traditional method. The grade-tonnage uncertainty reveals that uncertainty-based generates more high grade ores when compared with ordinary kriging method.

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Moving forward from traditional optimization: grade ...

per ounce, mill feed grade and ore tonnage are pre-sented as examples and periods with a high risk of negative discounted cash flow are identified. Further integration of uncertainty into optimization algorithms will be needed to increase their efficacy . The quantification of uncertainty .

  • Published in: Mining Technology · 2002Authors: Roussos Dimitrakopoulos · C T Farrelly · M Godoy[PDF]Get Price
RISK CONTROL IN PRODUCTION SCHEDULING BY CONSIDERING ...

In this study, a ple-point geostatistical method, namely Single Normal Equation Simulation (SNESIM) was applied to generate equiprobable orebody models for a copper deposit from Africa that helps to analyze the uncertainty of ore tonnage of the deposit. The grade uncertainty was evaluated by generating ple realization of grade models ...

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ESTIMATION OF MINERAL RESOURCES And MINERAL RESERVES

Nov 23, 2003 · allow a reliable estimate of the size, tonnage and grade of the mineralization in accordance with the level of confidence required by the definitions set out in the CIM Standards. 4 The principal purpose of data analysis is to improve the quality of the estimation through comprehensive

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UNCERTAINTY ASSESSMENT FOR THE EVALUATION OF NET .

ii Approval of the thesis: UNCERTAINTY ASSESSMENT FOR THE EVALUATION OF NET PRESENT VALUE OF A MINERAL DEPOSIT submitted by ÖMER ERDEM in partial fulfillment of the requirements for the degree of Master of Science in Mining Engineering Department, Middle East Technical University by, Prof. Dr. Canan Özgen _____

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Moving forward from traditional optimization: grade ...

AbstractAn economic argument is presented for the incorporation of quantitative modelling of the uncertainty of grade, tonnage and geology into open-pit design and planning. Two new implementations of conditional simulation—the generalized sequential Gaussian simulation and direct block simulation—are outlined. An optimization study of a typical disseminated, low-grade, .

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Quantifying -element and volumetric uncertainty ...

Abstract Traditional geostatistical modelling of orebodies and estimation of grade-tonnage curves do not account for the uncertainty of the orebody grades and tonnages. Geological interpretations of complex shapes are often over-constrained, and therefore do not properly identify the location of the ore.

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Analyzing the effect of ore grade uncertainty in open pit ...

average grade, mineable ore, waste tonnage, and net present value (NPV) were determined for both SGS and OK methods. In this way, this paper quantified the ore grade uncertainty in ultimate pit determination and mine planning. Moreover, the advantages of utilizing SGS method

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Conditional Simulation Which Method for Mining?

CONDITIONAL SIMULATION – WHICH METHOD FOR MINING? Jacqui Coombes1, Gordon Thomas2, Ian Glacken3 and Viv Snowden4 ... Conditional simulation is now being used more regularly in the mining industry to communicate uncertainty ... and were then compared using grade-tonnage curves. A grade-tonnage curve is generated by averaging

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Combining Estimates and Economics Workshop Summary

Metal Content Is Known From Grade and Tonnage Data 3,174 27,770 0.71 MEAN = E 447,000 D 1,260,000 1.6 20,160 C 93,000 4.37 4,064 ... uncertainty • The goal is to provide unbiased resource information in a form useful to decision-makers ... Combining estimates and summary Author: Donald A. .

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UNITED STATES DEPARTMENT OF INTERIOR Mineralogic .

Additional uncertainty comes in the process of aggregating mines into deposits. To develop a valid grade and tonnage model as given in Bliss (1986) for this deposit type, data for a large number of deposits were collected. While individual values may be of poor quality, statistical parameters such as

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Grade and Tonnage Uncertainty Analysis of an African ...

An economic argument is presented for the incorporation of quantitative modelling of the uncertainty of grade, tonnage and geology into open-pit design and planning. Two new implementations of ...

  • Author: Amol Paithankar, Snehamoy Chatterjee[PDF]Get Price