The application of ash adjustable density in the evaluation of coal deposits

dc.contributor.authorRoux, Leon
dc.date.accessioned2018-07-10T05:39:20Z
dc.date.available2018-07-10T05:39:20Z
dc.date.issued2017
dc.descriptionA thesis submitted to the requirements for the degree of Doctor of Philosophy (Metallurgy and Materials), University of the Witwatersrand, Johannesburg, August 2017en_ZA
dc.description.abstractThe initial evaluation of a coal deposit often raises uncertainty with regard to the accuracy of the reported resources and reserves. Difficulty is experienced in reconciling tonnages produced during mining and beneficiation with the original raw field data. The credibility of resource and reserve estimations, which form the basis on which an entire mining enterprise is motivated, funded and established as a commercially viable proposition, is of paramount importance. In essence, this research has sought to establish and validate a more realistic and accurate method for (i) coal resource and reserve estimation and (ii) the reconciliation of saleable tonnages produced following beneficiation. Previous research undertaken by this author resulted in the formulation of a methodology to provide a more accurate assessment of a coal body by using the dry density of the coaly material derived from proximate analytical data for the ash content for float fractions obtained from float sink analysis. The determination of the dry density was obtained through the application of the ash adjusted density algorithm derived from the regression of the median proximate ash values at fixed float densities in the range 1.35 g/cc to 2.20 g/cc. The derived density results were validated against laboratory pycnometer determined densities and found to be applicable to both of the two major geological stratigraphic units in the Waterberg Coalfield. This resulted in significantly more accurate predictions of coal product tonnages from the Waterberg Coalfield. In the current research, this methodology has been applied to cover the entire coal value chain, from exploration through to final products. The primary purpose was to ascertain the correct resource and reserve values relative to that originally reported using conventional methods and to match those values to actual saleable tonnages produced down the line. Density is the key factor underpinning such calculations and this varies not only due to geology, and specifically coal rank, type and grade, but also to the method used for its measurement. It plays a major role in the estimation of reserves and in the beneficiation process because density is the primary separation medium utilized in coal beneficiation. Coal plies and particles have different relative densities and physical properties, as determined by their maceral composition, rank, mineral (ash) and moisture contents. The relationship between such parameters, as measured by ash, moisture content, matrix porosity and density, was found to play an even greater critical role in establishing the correct tonnage of coal at any single point in the value chain. A combination of theoretical, empirical and reconciliatory evaluations of the available data from the exploration phase through the mining process to final production has shown that an integrated approach using the ash adjusted density methodology provides more accurate and credible results with a higher degree of confidence at all stages across the coal value chain than is currently possible using conventional practices.en_ZA
dc.description.librarianXL2018en_ZA
dc.format.extentOnline resource (180 leaves)
dc.identifier.citationRoux, Leon, (2017) The application of ash adjusted density in the evaluation of coal deposits, University of the Witwatersrand, Johannesburg, https://hdl.handle.net/10539/24852
dc.identifier.urihttps://hdl.handle.net/10539/24852
dc.language.isoenen_ZA
dc.subject.lcshCoal mines and mining--South Africa
dc.subject.lcshCoal mines and mining
dc.subject.lcshMining engineering
dc.titleThe application of ash adjustable density in the evaluation of coal depositsen_ZA
dc.typeThesisen_ZA
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