Estimativa de parâmetros indicadores de qualidade de carvão a partir de perfilagem geofísica

Coal quality is commonly analyzed using cores obtained from diamond drill holes, which are costly and time consuming. Geophysical logging provides an indirect measurement of coal quality derived from some physical properties logged by the probe. Among the geophysical logging methods, gamma back scattering (gamma-gamma) is appropriate for identifying coal seams and for inferring some coal quality parameters. This study identifies the possible correlation between gamma-gamma readings and ash content. By using the logged geophysical survey values plotted against the ash content, analyzed at the same intervals, a scatter plot was constructed and a model adjusted. The derived model showed a high correlation coefficient and acceptable estimation error, recommending this practice for obtaining quick, low-cost information for mine planning.