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Evaluating Sulfur and Ash Distributions in Coal Seams by Statistical Response Surface Regression Analysis.

Authors
Gomez-M; Hazen-K
Source
NTIS: PB 192 002 :120 pages
Link
NIOSHTIC No.
10001772
Abstract
The purpose of this study was to evalute the feasibility of using statistical response surface regression analysis to predict sulfur and ash distributions and the washability characteristics of coal along a seam in advance of mining. Prediction equations were developed with experimental data from channel, bench, and core samples from the Pittsburgh coal seam in Greene County, Pennsylvania. It was not possible, with the available experimental data, to construct mathematical models to predict ash and sulfur concentrations between sample points. In the authors' opinion, however, the good agreement between experimentally determined and predicted values at given sample points demonstrates the usefulness of the method. More input data, such as geologic information, seam characteristics (rock-to- coal ratio), petrographic analysis, and chemical data, would perhaps make it possible to predict sulfur and ash concentrations and washability characteristics between sample points.
Publication Date
19700101
Document Type
IH; Report of Investigations
Fiscal Year
1970
NTIS Accession No.
PB-192002
NTIS Price
A07
Identifying No.
RI 7377
NIOSH Division
DRC;
Source Name
NTIS: PB 192 002
State
PA;
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