首页> 美国政府科技报告 >Prediction Model for Compositional Changes within a Coal from Core Data. Quarterly Report,July--September 1976.
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Prediction Model for Compositional Changes within a Coal from Core Data. Quarterly Report,July--September 1976.

机译:基于核心数据的煤内成分变化预测模型。 1976年7月至9月的季度报告。

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The Waynesburg coal has been sampled on a within-a-mine basis with 22sections each with the coal sampled at 6-in. increments excluding partings for a total of 314samples. In addition,two grid samplings were taken on the top of the bottom bench of 30samples each;one grid on a 1-meter grid interval and the other on a 3-meter grid interval. All samples are subjected to moisture,volatiles,high-temperature ash,BTU,sulfur (total and species),and low-temperature ash (LTA) determinations. The LTA were analyzed by x-ray diffraction. In addition, 99 lithotype samples were collected; 44from regional locations and 55from a single column location. These samples,in addition to petrographic descriptions both megascopic and microscopic,were subjected to the basic analyses listed above. A systematic study of pyrite in the Waynesburg coal was initiated with an optical microscopic and a scanning electric microscopic description of pyrite in LTA,whole coal samples, lithotypes and macerals. A classification scheme for the description of pyrite types was evaluated. The application of a combined pyrolytic-chromatographic technique was used to analyze the basic organic makeup of whole coal, lithotype and maceral samples. These data will be correlated with the previous petrographic and inorganic data. (ERA citation 02:031764)

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