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Global CBM Geographies: A Remote Sensing Perspective By Y.Dheeraj (500037552) R770214026 1

Global CBM Geographies: A Remote Sensing Perspective By Y.Dheeraj (500037552) R770214026 1

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Page 1: Global CBM Geographies: A Remote Sensing Perspective By Y.Dheeraj (500037552) R770214026 1

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Global CBM Geographies: A Remote Sensing Perspective

By Y.Dheeraj

(500037552)R770214026

Page 2: Global CBM Geographies: A Remote Sensing Perspective By Y.Dheeraj (500037552) R770214026 1

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Coal bed Methane :Clean Energy for the World

• Coalbed methane can be found almost anywhere there is coal

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ZONES • Zone 1: surface zone extending to a depth of about 150 m, which

contains negligible amount of CO2.

• Zone 2: “Biogenic Window” containing shallow methane and extending from a depth of approximately 150 m to about 250 – 350 m.

• Zone 3: “Mixed Gas Zone” below Zone 2 and extending to a depth of approximately 600 – 700 m. The gases in this zone are both methane and CO2 but mostly CO2.

• Zone 4: “Thermogenic Zone” of high methane below Zone3.

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REMOTE SENSING APPLICATION IN HIGHER PERMEABILITY AREA PREDICTION OF COAL BED METHANE

( Mao Yaobao Feng Fucheng Xie Zhiqing Bao Guibao )

• Remote sensing can be used in coal exploration, analysis of tectonic stability and weathering of coal strata, it is helpful to eliminate the deep areas where it is difficult to develop and shallow areas where gas content is lower due to gas dissipation by geomorphologic interpretation and tectonic analysis of coal basin.

• It is also used in gas saturation analysis by hydro-geological condition investigation and in heat mature degree analysis by igneous body interpretation

• On the basis of tectonic control analysis of methane and remote sensing interpretation of ground linear feature, and ground cracks, coal seam fractures in mine and drill holes can be systematically measured and similarity dimensions of cracks can be calculated statistically

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• Further statistical calculation and rose map drawing of geological lineament linear features from ASTER( Advance space borne thermal emission and reflection radiometer ) and DEM (digital elevation model ) images in defined stable areas of coal basin together with results of ground fracture investigations on rock joints and cleat measurements, to reconstruct density fracture map.

• After statistical calculation and rose map drawing of linear feature in defined stable areas of coal basin, the dominant direction of linear feature will be determined. It will represent tectonic tendency.

• To define the tectonic developed degree, similarity dimensions of linear feature are suggested to calculate based on fractal theories.

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CONCLUSION

• Coal seam permeability is determined by coal seam fissures and fractures and it was found fracture will improve the permeability of coal bed.

• In same Earth stress state, coal bed fractures are related to ground crack system, their strike, location and spatial arrangement will be similar. Correspondingly, therefore, remote sensing is an effective and low-cost method to predict the permeability.

• finding of favorable CBM extraction locales based on integration of GIS, remote sensing and other related studies