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Mining Publication: Mapping of Compositional Properties of Coal Using Isometric Log-Ratio Transformation and Sequential Gaussian Simulation - A Comparative Study for Spatial Ultimate Analyses Data
Keywords: Chemical analysis Coal Modeling
Original creation date: March 2018
Authors: C Karacan, RA Olea
Peer Reviewed Journal Article - March 2019
Go to Web Page
NIOSHTIC2 Number: 20050794
J Geochem Explor 2018 Mar; 186:36-49
Chemical properties of coal largely determine coal handling, processing, beneficiation methods, and design of coal-fired power plants. Furthermore, these properties impact coal strength, coal blending during mining, as well as coal's gas content, which is important for mining safety. In order for these processes and quantitative predictions to be successful, safer, and economically feasible, it is important to determine and map chemical properties of coals accurately in order to infer these properties prior to mining.
Ultimate analysis quantifies principal chemical elements in coal. These elements are C, H, N, S, O, and, depending on the basis, ash, and/or moisture. The basis for the data is determined by the condition of the sample at the time of analysis, with an “as-received” basis being the closest to sampling conditions and thus to the in-situ conditions of the coal. The parts determined or calculated as the result of ultimate analyses are compositions, reported in weight percent, and pose the challenges of statistical analyses of compositional data. The treatment of parts using proper compositional methods may be even more important in mapping them, as most mapping methods carry uncertainty due to partial sampling as well.
In this work, we map the ultimate analyses parts of the Springfield coal from an Indiana section of the Illinois basin, USA, using sequential Gaussian simulation of isometric log-ratio transformed compositions. We compare the results with those of direct simulations of compositional parts. We also compare the implications of these approaches in calculating other properties using correlations to identify the differences and consequences. Although the study here is for coal, the methods described in the paper are applicable to any situation involving compositional data and its mapping.
First page of Mapping of Compositional Properties of Coal Using Isometric Log-Ratio Transformation and Sequential Gaussian Simulation � A Comparative Study for Spatial Ultimate Analyses DataPeer Reviewed Journal Article - March 2019
Go to Web Page
NIOSHTIC2 Number: 20050794
J Geochem Explor 2018 Mar; 186:36-49
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Experimental and Modeling Investigation of the Effect of Ventilation on Smoke Rollback in a Mine Entry
Gas Sorption and Transport in Coals: A Poroelastic Medium Approach
Geologic Factors Influencing the Gas Content of Coalbeds in Southwestern Pennsylvania
Methane Diffusion Parameters for Sized Coal Particles: A Measuring Apparatus and Some Preliminary Results
Modeling and Data Analysis of 50 to 5000 kHz Radio Wave Propagation in Coal Mines
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Variation of Horizontal Stresses and Strains in Mines in Bedded Deposits in the Eastern and Midwestern United States
Page last reviewed: April 4, 2019
Page last updated: April 4, 2019
Content source: National Institute for Occupational Safety and Health, Mining Program
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