Seam Identification, Correlation and Coal Quality Prediction Using In-Seam Variations in Key Palynomorph Abundances

- Organization:
- The Australasian Institute of Mining and Metallurgy
- Pages:
- 19
- File Size:
- 2091 KB
- Publication Date:
- Jan 1, 1996
Abstract
Studies of the Main Seam in the Rapahoe Sector of Greymouth Coalfield have shown that the proportions of palynomorphs and palynomorph groups vary vertically within the seam, but remain laterally consistent. Subsequent examinations of other seams in the Rapahoe Sector have demonstrated that the changes in palynomorph proportions observed in the Main Seam are specific to that seam, effectively providing a seam 'fingerprint'. Such a characteristic signature may be used to identify the Main Seam where faulting or seam splitting confuses seam correlation between drillhole intersections. Palynomorph assemblages are derived from the original plants which formed the peat mire, and yield information on mire conditions such as climate, mineral matter input and chemistry. These depositional factors influence coal properties such as mineral content, volatile matter yields and coal breakability. Palynological data can therefore assist in development of depositional lTIodels for prediction of coal quality variations. Several other, thiner seams in the Rapahoe Sector have been demonstrated to also contain recognisable palynomorph assemblages, suggesting that other seams may also possess distinct palynomorph abundance profiles.
Citation
APA: (1996) Seam Identification, Correlation and Coal Quality Prediction Using In-Seam Variations in Key Palynomorph Abundances
MLA: Seam Identification, Correlation and Coal Quality Prediction Using In-Seam Variations in Key Palynomorph Abundances. The Australasian Institute of Mining and Metallurgy, 1996.