2016
DOI: 10.1016/j.coal.2016.09.013
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Improving coal quality estimation through multiple geophysical log analysis

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Cited by 21 publications
(19 citation statements)
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“…The merits of coal quality parameter estimations using multiple geophysical logs have been demonstrated by Zhou and Esterle [37] and Zhou and O'Brien [7]. Here we will use another example from a mine in New South Wales, Australia, to illustrate the method's performance.…”
Section: Coal Quality Estimation From Geophysical Logsmentioning
confidence: 94%
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“…The merits of coal quality parameter estimations using multiple geophysical logs have been demonstrated by Zhou and Esterle [37] and Zhou and O'Brien [7]. Here we will use another example from a mine in New South Wales, Australia, to illustrate the method's performance.…”
Section: Coal Quality Estimation From Geophysical Logsmentioning
confidence: 94%
“…In these logs, GRDE and GRNP are gamma ray logs from density and neutron loggings, respectively, reflecting the lithology of the coal; DENB and DENL are shortand long-spaced density logs, which have strong correlation with coal ash content; DEPO and RPOR are sandstone-calibrated porosities derived from density and neutron logs; and MC2F and MC4F are 20 cm-spaced and 40 cm-spaced sonic logs, signifying the integrity and the strength of the coal samples. The merits of coal quality parameter estimations using multiple geophysical logs have been demonstrated by Zhou and Esterle [37] and Zhou and O'Brien [7]. Here we will use another example from a mine in New South Wales, Australia, to illustrate the method's performance.…”
Section: Coal Quality Estimation From Geophysical Logsmentioning
confidence: 94%
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“…The conventional well-logs such as density, gamma-ray, single point resistance and resistivity are in vogue for identification of coal seams, variation of their thickness and also lateral correlations. Apart from detection, the parameters that describe the quality of coal such as ash content, volatile matter, specific energy, presence of radioactive minerals (such as pyrite) in coal in addition to economic and engineering parameters, can also be predicted with the combination of sonic, neutron porosity and induced polarization logs (Kowalski and Fertl, 1976;Ghosh, 2016;Zhou et al, 2016). Besides, Caliper log is also used to know the borehole rugosity, which affects the readings recorded by other logs.…”
Section: Introductionmentioning
confidence: 99%