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Workflow of Coal bed Identification and Coal Typing
Identification of coal seams is an essential step that creates coal flags using standard log curve data. Interactive selection of cut-off parameters eases the process of coal bed identification. Coal typing analysis allows user to identify anthracite, lignite, bituminous or sub-bituminous type of coals and thereby helps in prospect delineation.
Coal Identification crossplot
Crossplot is also available to identify coal beds from standard bulk density and neutron-porosity log curves.
Proximate Analysis and Gas Content
Proximate analysis determines ash, fixed carbon, volatile matter and moisture contents against individual coal seams. Gas content estimation allows to quantify standard volume of gas per unit weight of coal. Five different methods are available to compute gas contents of coal seams. Flexibility provided to calibrate parameters with laboratory measurements and correlations.
Determination of Coal Rank
Coal ranks can be determined from available crossplot of bulk density data with ash contents.
Coal analysis and ash content levels can be determined by Prensky's crossplot between bulk density and compressional sonic data.
Composite plots can be generated by integrating essential outputs of Proximate Analysis and Gas Content results with post process outputs like Gas Storage Capacity using Langmuir isotherm and CBM Productivity from SP log curves using Mullen's correlation.
Integration with Quanti.Elan
Results can be combined with Quanti.Elan output for integrated analysis.