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Coal Bed Methane (CBM)

This Plug-in allows user to characterize coal seam methane gas in Techlog.

Overview

Coal Bed Methane Plug-in is designed for interpretation geologists and petrophysicists. It allows to characterize coal seam methane gas with the help of comprehensive workflows inside Techlog.

Features

The Coal Bed Methane plug-in covers three main functionalities namely precomputation of data, analysis and quantification of methane gas and finally post process output generation. Results can be easily calibrated with laboratory measurements and can be integrated with other answer products.

Specifications

Techlog 2018.1 or latest Coal flag identification from standard log curves Coal matrix density computation Coal typing from standard log curves Crossplots for coal identification, determination of coal rank, coal typing etc. Hydrostatic and Langmuir pressure computation Proximate Analysis to estimate volume fraction of ash, fixed carbon, moisture and volatile matter Gas Content estimation using five different algorithms Gas storage capacity estimation from Langmuir isotherm Productivity from Spontaneous Potential data

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.

Prensky's Plot

Coal analysis and ash content levels can be determined by Prensky's crossplot between bulk density and compressional sonic data.

Composite Plot

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.

Success

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Coal Bed Methane (CBM)

Quantity

I would like to

1

Platform

Developed by

ECCN

Domain

Challenges

Lifecycle Conventional