cbm prediction
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Application of Remote Application of Remote Sensing in prediction Sensing in prediction of coal bed methaneof coal bed methane
Antaryami SinghAntaryami Singh
M.Tech( PE), Roll no. 1M.Tech( PE), Roll no. 1
Application of Remote Application of Remote Sensing in prediction Sensing in prediction of coal bed methaneof coal bed methane
Antaryami SinghAntaryami Singh
M.Tech( PE), Roll no. 1M.Tech( PE), Roll no. 1
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ContentContent
•What is CBM.
•Factors affecting CBM Exploration.
•Remote Sensing Prediction Principle.
•Procedure of remote sensing prediction.
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Coal Bed Methane (CBM)It is a natural gas generated during the
coalification process and stored in coal seams, in the adsorbed state, on the internal surfaces of coal matrix.
The ability of coal to store methane gas is dependent on multiple factors, the primary being the rank and depth of coal.
The methane is in a near-liquid state, lining the inside of pores within the coal (called the matrix). The open fractures in the coal (called the cleats)
Coal Bed Methane (CBM)It is a natural gas generated during the
coalification process and stored in coal seams, in the adsorbed state, on the internal surfaces of coal matrix.
The ability of coal to store methane gas is dependent on multiple factors, the primary being the rank and depth of coal.
The methane is in a near-liquid state, lining the inside of pores within the coal (called the matrix). The open fractures in the coal (called the cleats)
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Factors affecting CBM exploration:Factors affecting CBM exploration:•Main Factors which are affecting the exploration of coal Main Factors which are affecting the exploration of coal
bed methane arebed methane are
•Permeability
•Pressure of Coal bed Methane.
•Gas Saturation.
•Desorption
From above factors, Permeability & gas content estimation
can be detected with the help of Remote sensing.
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Role of Remote Sensing:Role of Remote Sensing: Fracture and Lineament Map – Using medium resolution images,
the Earth structures such as faults, joints, and folds are mapped with the help of photogrammetric elements
of tone, texture, and patterns.
Geological Map - The geological map is updated based on the tonal variations with changing lithology in satellite image and
through ground checks by our field geologists.
Geomorphological Map – The geomorphological map is updated based on satellite image elements and updated with field verification data.
Fracture density mapping and evaluation of possible fair way zones of CBM pathways.
Fracture and Lineament Map – Using medium resolution images, the Earth structures such as faults, joints, and folds are mapped with the help of photogrammetric elements
of tone, texture, and patterns.
Geological Map - The geological map is updated based on the tonal variations with changing lithology in satellite image and
through ground checks by our field geologists.
Geomorphological Map – The geomorphological map is updated based on satellite image elements and updated with field verification data.
Fracture density mapping and evaluation of possible fair way zones of CBM pathways.
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Mapping hydrological features using remote sensing satellite images.
Detection of igneous intrusive bodies and their impact on CBM coals.
The relationship between coal seam fractures and ground cracks could be established.
The characteristics of ground linear features demonstrate color, texture and shape changes in remote sensing imagery.
These features can be interpreted from remote sensing imagery easily, so the higher permeability area of coal bed methane will be explained effectively and economically by statistic analysis of linear feature.
Mapping hydrological features using remote sensing satellite images.
Detection of igneous intrusive bodies and their impact on CBM coals.
The relationship between coal seam fractures and ground cracks could be established.
The characteristics of ground linear features demonstrate color, texture and shape changes in remote sensing imagery.
These features can be interpreted from remote sensing imagery easily, so the higher permeability area of coal bed methane will be explained effectively and economically by statistic analysis of linear feature.
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Remote Sensing Prediction PrincipleRemote Sensing Prediction Principle
Remote Sensing Remote Sensing ImagaryImagary
Water Systems Water Systems gullies, steep gullies, steep mountain ridges, mountain ridges, linear erosion linear erosion features, Changes of features, Changes of Rock, Vegetation Rock, Vegetation SoilSoil
Linear FeaturesLinear Features
Ground Fractures & Ground Fractures & CracksCracks
Coal Bed Fissures & Coal Bed Fissures & FracturesFractures
CBM PermeabilityCBM Permeability
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Probable CBM Potential zones:Probable CBM Potential zones:
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THANK YOUTHANK YOU