Influence of the ore block model estimation on the determination of the mining cutoff grade policy for sustainable mine production

Başçetin, Ataç; Tüylü, Serkan; Nieto, Antonio

doi:10.1007/s12665-011-0965-4

Cited by 10 publications

(7 citation statements)

References 12 publications

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“…The total volume of the bauxite deposit in the 1102 longwall mining panel exposed by the tail and head roadways is 189,260 m 3 , close to zero around the top and bottom boundaries of bauxite seam. Even so, the average grade values of bauxite ore are evidently larger than the lower limits of the industrial constraints for bauxite.…”

Section: Comparison Of Interpolation Methodsmentioning

confidence: 93%

“…The inverse distance weighted (IDW) interpolation can be also used to estimate the mineral grade distribution on the tail roadway wall relative to floor, which uses the following Equations (2) and (3). …”

Section: Methodsmentioning

confidence: 99%

“…However, the reference data are frequently sparse and scattered, and no data is available from positions between sample points [2]. Hence, it is often necessary to interpolate data values for locations where there are no measurements using statistical and deterministic interpolation methods, and local and global interpolations [3][4][5][6][7][8]. Concerning statistical methods, the kriging-based methods are commonly used by weighting data points for interpolating unknown locations based on their relative distances using a variogram model to evaluate the autocorrelation of spatial data [2,[9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Grade Distribution Modeling within the Bauxite Seams of the Wachangping Mine, China, Using a Multi-Step Interpolation Algorithm

Wang

2017

Minerals

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Abstract:Mineral reserve estimation and mining design depend on a precise modeling of the mineralized deposit. A multi-step interpolation algorithm, including 1D biharmonic spline estimator for interpolating floor altitudes, 2D nearest neighbor, linear, natural neighbor, cubic, biharmonic spline, inverse distance weighted, simple kriging, and ordinary kriging interpolations for grade distribution on the two vertical sections at roadways, and 3D linear interpolation for grade distribution between sections, was proposed to build a 3D grade distribution model of the mineralized seam in a longwall mining panel with a U-shaped layout having two roadways at both sides. Compared to field data from exploratory boreholes, this multi-step interpolation using a natural neighbor method shows an optimal stability and a minimal difference between interpolation and field data. Using this method, the 97,576 m 3 of bauxite, in which the mass fraction of Al 2 O 3 (W a ) and the mass ratio of Al 2 O 3 to SiO 2 (W a/s ) are 61.68% and 27.72, respectively, was delimited from the 189,260 m 3 mineralized deposit in the 1102 longwall mining panel in the Wachangping mine, Southwest China. The mean absolute errors, the root mean squared errors and the relative standard deviations of errors between interpolated data and exploratory grade data at six boreholes are 2.544, 2.674, and 32.37% of W a ; and 1.761, 1.974, and 67.37% of W a/s , respectively. The proposed method can be used for characterizing the grade distribution in a mineralized seam between two roadways at both sides of a longwall mining panel.

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Section: Comparison Of Interpolation Methodsmentioning

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Grade Distribution Modeling within the Bauxite Seams of the Wachangping Mine, China, Using a Multi-Step Interpolation Algorithm

Wang

2017

Minerals

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“…To represent the variations in coal quality parameters (LCV, AC, and MC), the solid model was divided into small conceptual blocks. When determining the block sizes, factors like data number and quality distribution, geological continuity, mining method, and size of excavation equipment have to be considered (Saydam, 1995;Mert, 2004;Nieto, 2011;Bascetin et al, 2011). It is necessary to determine the block sizes at the edge of the model in optimum shape in accordance with the volume of the solid model.…”

Section: Block Modelmentioning

confidence: 99%

Resource estimation for Alpagut - Dodurga coal field and determination of spatial distribution of coal quality parameters

2020

Turkish J Earth Sci

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IntroductionCoal is used in many areas like electricity production, iron-steel, and cement manufacturing and for steam production in industrial processes, and at the same time it is consumed as domestic fuel for heating purposes. Many countries meet a significant portion of their electricity production from coal. This rate is 53% in the USA and Germany, 69% in Greece, 75% in China, 77% in Denmark, 83% in Australia, 93% in South Africa, and 95% in Poland. In Turkey, this rate is at lower levels compared to the countries listed above at about 32%. 1 World coal production has nearly doubled in the last 30 years. The increase in coal production is mainly due to the demand for electrical energy from the continent of Asia, mainly China. The resource most intensely used for electricity production is coal (Aktan et al., 2018).Mine resources are defined as the presence of a mineral or resource found in the crust in form and amount to allow for economic production. Estimation of mine resources includes estimation of the geology, continuity, tonnage, and mean grade of mine assets (Aktan and Tercan, 2016).

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“…Reliability of these studies depends on availability and accuracy of technical data (e.g., productivity expected, quantity and grade of mineral reserves, reliability of equipment, etc.) [16,21,58]. A number of researchers have proposed models for assessing risks and uncertainties related to f nancial, economic, and technical parameters [16,21].…”

Section: Financial and Economic Risksmentioning

confidence: 99%

A mining project is a field of risks: a systematic and preliminary portrait of mining risks

Badri¹,

Nadeau²,

Gbodossou³

2012

Int. J. SAFE

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Due to the current economic situation and the growth in world demand, the mining industry is undergoing a period of spectacular development. The current need to increase production at mine sites coincides with the development of managerial capacities, the use of new industrial methods and equipment, and increased use of skilled workforce. Despite such developments, a number of researchers view the mining sector among the world's most uncertain and hazardous industries. Although the sector utilizes risk management tools appropriately, several large-scale mining projects have failed as a result of neglect or underestimation of hazards. Total risk management of a new project remains a goal to be attained so as to enhance reliability of decisions and make mining organizations safer and more secure. The intent of this paper is to provide researchers and practitioners a preliminary portrait of the risks related to new mining projects. To attain this objective, the authors have primarily used results from research undertaken in the f eld. They completed this portrait using the results of hazard identif cation studies that they conducted in an open-pit mining project in Quebec. During this study, a number of data-gathering techniques were used, including documentation analysis, collaborative f eld observations, and interviews with managers and workers. This work demonstrates the possibility of identifying a number of categories of known risks and uncertainties not recently taken into account in any systemic or systematic way in mining project risk management. In this paper, identif ed risks are categorized hierarchically to show the impact and possibility of occurrence of each for every project phase. Despite having a number of limitations, this study enables construction of a risks portrait indispensable for completing a reliable and rapid assessment of mining project hazards.

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Influence of the ore block model estimation on the determination of the mining cutoff grade policy for sustainable mine production

Cited by 10 publications

References 12 publications

Grade Distribution Modeling within the Bauxite Seams of the Wachangping Mine, China, Using a Multi-Step Interpolation Algorithm

Grade Distribution Modeling within the Bauxite Seams of the Wachangping Mine, China, Using a Multi-Step Interpolation Algorithm

Resource estimation for Alpagut - Dodurga coal field and determination of spatial distribution of coal quality parameters

A mining project is a field of risks: a systematic and preliminary portrait of mining risks

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