Designing of plug-in for estimation of coal proximate parameters using statistical analysis and coal seam correlation

This paper aims to design plug-in at matrix laboratory (MATLAB) for estimation of coal proximate parameters and coal seam correlation from well logs. Five major sub-functions such as: normalisation of single point resistance log, shifting of logs for depth matching, lithology marking, calibration for estimation of coal proximate parameters and coal seam correlation are included with graphical user interfaces. The geophysical log data of Jharia and Bishrampur coalfields, India are calibrated visually with the laboratory analysed data where recovery is considerable for a certain number of scattered boreholes designated as master boreholes. Multiple linear regression relationships are obtained between geophysical logging parameters: density, natural gamma ray, normalised single point resistance and coal proximate parameters: ash, moisture content and fixed carbon. The software then proceeds towards the estimation of ash, moisture and fixed carbon (band by band) for the other boreholes except master boreholes. In the present study the coal seams are correlated from total 5 and 15 numbers of exploratory wells in Jharia and Bishrampur coalfields respectively. The correlation is made and accordingly correlation table is prepared using graphic display mode of the software by matching the lithology of all the boreholes and correlation plot is generated during the process.