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“Characterization of Coals from Seam-I,
Ramagundam coalfield, Pranhita-Godavari
valley with special emphasis on the
assessment of microstructures under
Scanning Electron Microscope”
Supervised by:
Prof. M.P. Singh
Department of Geology
Banaras Hindu University
Presented by:
Kushank Bajaj
M.Sc.(Tech) Geology
Banaras Hindu
University
Grade:
Rank:
Type:
OVERVIEW
 Study area
 GRADE & RANK: Proximate analysis
 TYPE : Coal facies
• Megascopic: on the basis of lithotypes
• Lithotype under SEM-EDX
• Maceral & Microlithotype: Depositional
environment
 PLUGGING OF MICROSTRUCTURES:
Problem
• Microstructures in coal
• SEM: A qualitative assessment
• Possible quantitative assessment
 Conclusions
www.nyfo.fws.gov
https://www.uky.edu/KGS/coal/coalkinds.htm
COAL CHARACTERIZATION
STUDY AREA
Mukhopadhyay et al., 2010 S.C.C.L., 2015
COAL
GRADE & RANK
SAMPLE Moisture
%
VM% ASH % Fixed
carbon
%
RG_1
3.42 28.34 39.30 28.94
RG_2
1.14 24.08 13.07 61.71
RG_3
2.57 26.52 38.36 32.55
RG_4
2.18 33.49 24.49 39.84
RG_5
1.63 30.92 18.83 48.62
RG_6
2.24 26.36 17.81 53.59
RG_7
1.81 34.42 38.69 25.08
Sample Volatile Matter % Fixed carbon %
RG_1
49.48 50.52
RG_2
28.07 71.93
RG_3
44.90 55.10
RG_4
45.67 54.33
RG_5
38.88 61.12
RG_6
32.97 67.03
RG_7
57.85 42.15
0
10
20
30
40
50
60
70
80
1 2 3 4 5 6 7
Percentage%
Sample No.
Volatile matter %
Fixed carbon %
PROXIMATE ANALYSIS
Data of proximate analysis (air dried basis) in wt. %
Macroscopic section and proximate data profiles of the coal seam.
Volatile Matter and Fixed Carbon Recalculated
on dry ash free basis.
Proximate Data showing an inverse relation between volatile matter
and fixed carbon (daf basis)
UHV=8900-138(ASH +MOISTURE %) Kcal/Kg
Grade UHV(Kcal/Kg)
A Exceeding 6200
B Exceeding 5600 but not exceeding 6200
C Exceeding 4940 but not exceeding 5600
D Exceeding 4200 but not exceeding 4940
E Exceeding 3360but not exceeding 4200
F Exceeding 2400but not exceeding 3360
G Exceeding 1300but not exceeding 2400
Sample Moisture% ASH %
UHV
(Kcal/Kg) Grade
RG_1 3.42 39.30 3004.98 F
RG_2 1.14 13.07 6939.54 A
RG_3 2.57 38.36 3251.47 F
RG_4 2.18 24.49 5219.12 C
RG_5 1.63 18.83 6076.31 B
RG_6 2.24 17.81 6133.21 B
RG_7 1.81 38.69 3311.62 F
GRADE: USEFUL HEAT VALUE
Average Grade of coal seam: D- Grade
Indian grading of non-coking coal
Grading of Seam- I, Ramagundam coalbelt
COAL TYPE
MEGASCOPIC CHARACTERIZATION: Lithotypes ; using
I.C.C.P RULES & DIESSEL’S CLASSIFICATION
Bright coal (RG_1), b. Banded Bright coal (RG_2), c. Banded Dull
coal (RG_3), d. Banded Bright coal (RG_4), e. Banded Bright coal
(RG_5), f. Banded Bright coal (RG_6), g. Banded Bright coal (RG_7)
Macroscopic seam profile of Seam-I, Ramagundam coal belt, Godavari
Valley Coalfield.
COAL LITHOTYPES
Variation of Carbon and Oxygen weight percentage in different lithotypes
Vitrain: Forest plant mat.
& high bacterial activity
Durain: High water level,
inundation of mineral matter
Clarain: Frequent variation
in climate condition,
alternate dry & flooding
Fusain: dry/ forest fire
Sample No. Vitrinite % Liptinite % Inertinite % Mineral Matter%
RG_1 47.90 3.36 18.49 30.25
RG_2 36.84 0.00 24.56 38.60
RG_3 34.19 0.85 19.66 44.44
RG_4 41.82 4.55 10.91 40.00
RG_5 39.42 0.00 18.27 34.62
RG_6 42.86 0.00 16.96 40.18
RG_7 27.91 1.55 31.78 38.76
0.00
10.00
20.00
30.00
40.00
50.00
RG_1 RG_2 RG_3 RG_4 RG_5 RG_6 RG_7
Frequency distribution of Group Macerals (in Vol %)
Vitrinite %
Liptinite %
Inertinite %
Mineral Matter%
MICROSCOPIC CONSTITUENTS : DEPOSITIONAL ENVIRONMENT
Sample
No.
Gelification
Index
Tissue Preservation
Index
RG_1 2.71 1.73
RG_2 1.50 1.03
RG_3 1.74 1.28
RG_4 3.83 1.10
RG_5 2.16 1.03
RG_6 2.53 1.00
RG_7 0.88 1.13
GI = (Vitrinite + Macrinite) / (Semi-Fusinite + Fusinite + Inertodetrinite)
TPI = (Telinite + Collotelinite + Fusinite + Semifusinite) / (Collodetrinite +
Macrinite + Inertodetrinite)
Samp
le No.
Vitrinite Group Liptin
ite
Grou
p
Inertinite Group
Collotel
inite %
+
Telinite
%
Collodetr
inite %
Vitro
detrin
ite %
Sporin
ite %
Semif
usinite
%
fusinite
%
Inertode
trinite
%
RG_1 22.69 19.33.33 5.04 3.36 13.45 1.68 2.52
RG_2 13.16 22.81 0.88 0 14.91 2.63 7.02
RG_3 11.97 17.09 5.13 3.33 10.26 5.13 4.27
RG_4 11.82 15.45 14.55 4.55 7.27 0.91 2.73
RG_5 13.46 25.00 0.96 0 13.46 1.92 2.68
RG_6 14.29 25.89 2.68 0 12.50 1.79 2.68
RG_7 0.00 19.38 8.53 1.56 26.36 0.78 4.65
DIESSEL MODEL (1986,1992)
Sample No. Vitrinite %
Liptinite
%
Inertinit
e %
RG_1 68.67 4.82 26.51
RG_2 60.00 0.00 40.00
RG_3 62.50 1.56 35.94
RG_4 73.02 7.94 19.05
RG_5 68.33 0.00 31.67
RG_6 71.64 0.00 28.36
RG_7 45.57 2.53 51.90
MUKHOPADHYAY MODEL (1986)
Frequency distribution of Group Macerals mmf (in Vol %)
Sample
No.
Vitrinit
e %
Liptini
te %
Inertin
ite %
Mineral
Matter%
RG_1 47.90 3.36 18.49 30.25
RG_2 36.84 0.00 24.56 38.60
RG_3 34.19 0.85 19.66 44.44
RG_4 41.82 4.55 10.91 40.00
RG_5 39.42 0.00 18.27 34.62
RG_6 42.86 0.00 16.96 40.18
RG_7 27.91 1.55 31.78 38.76
Frequency distribution of Group Macerals (in Vol %)
SINGH & SINGH (1996)
Microlithotype RG_1 RG_2 RG_3 RG_4 RG_5 RG_6 RG_7
Vitrite 22.33 31.58 19.59 12.73 26.74 21.74 12.90
Liptite 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Inertite 7.77 1.32 7.22 6.36 4.65 3.26 10.75
Clarite V 4.85 2.63 2.06 8.18 0.00 0.00 0.00
Clarite E 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Vitrinertite V 3.88 2.63 3.09 1.82 1.16 1.09 0.00
Vitrinertite I 4.85 0.00 3.09 0.00 1.16 0.00 1.08
Durite I 0.97 2.63 0.00 0.00 1.16 0.00 0.00
Durite E 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Carbargilite 47.57 50.00 55.67 57.27 61.63 58.70 67.74
Carbankerite 0.00 1.32 4.12 3.64 3.49 5.43 3.23
Carbopyrite 3.88 6.58 4.12 9.09 0.00 6.52 1.08
Carbopolyminerit
e
2.91 1.32 1.03 0.91 0.00 0.00 3.23
Clarodurite 0.97 0.00 0.00 0.00 0.00 3.26 0.00
SMYTH (1979, 1984) MICROLITHOTYP MODEL
Frequency distribution of individual Microlithotype
MICROSTRUCTURES
UNDER SCANNING
ELECTRON
MICROSCOPE
Microstructures Width of
pathway (um)
Length of
pathway
(um)
Orientation Association
Fracture porosity
Macroporosity
Face, butt cleat and 3rd cleat 100-200 >100 90o to bedding Restricted to bright
Microfractures
Vertical microcleats
Horizontal microcleats
Blocky fractures
Conchoidal fractures
Striae
5-20
0.5-2
1-1.5
0.05-0.1
0.1
50-500
50-300
50-200
1-100
5-100
90o to bedding
Parallel bedding
Irregular
Irregular
60-900 to bedding
Restricted to bright
Restricted to bright
Restricted to bright
Restricted to bright
Restricted to bright
Phyteral porosity
Cavities associated with organic
components
2-4 >10 Parallel to bedding Restricted to dull
Matrix porosity
In between maceral fragments
In between minute particles
In between clays
0.05-50
0.01-0.05
0.1-2
0.05-50
0.01-0.05
1-20
Irregular
Irregular
Parallel to bedding
Restricted to dull
Restricted to dull
Restricted to dull
Characterization of microstructures observed in coal using SEM, modified after Gamson, Beamish, and Gas 1993
Pore sizes Coal rank
(ASTM Designation)
Micropores
d<2 nm
high volatile bituminous coal A and higher
Mesopores
2 nm< d < 50 nm
high volatile bituminous coal (C+B)
Macropores
d>50 nm
lignites + sub-bituminous
The plugging influences:
 Ability of gas flow
 Pore availability of gas adsorption
 Tendency to shrink and swell
 Potential of enhanced gas recovery & CO2 sequestration
PROBLEM: PLUGGING OF MICROSTRUCTURES BY
MINERAL MATTER!
a. Disseminated mineral
matter in the middle
portion. Conchoidal
fractures in vitrain bands.
b. Unfilled cavity pores
ranging from 0.17 to 6.23
µm in telinite fragment.
c. Numerous macropores
ranging from 100 to 10 µm,
mineral matter is present as
plugging material in some
pores and in blanket form.
d. Red sphere shows
conchoidal microfractures
plugged with mineral
matter in thin bands of
vitrain. The yellow sphere
show a macropore.
a. 6.23 um
0.17 um
b.
c. d.
QUALITATIVE ANALYSIS OF MICROSTRUCTURES
e. f.
e. Conchoidal microfractures in
vitrain filled my mineral
matter.
f. Blanket of mineral matter on
vitrain bands. Unfilled pores
of various sizes ranging from
40 to 5µm.
a. b.
a. Durain showing phyteral
porosity within compressed
fibrous parenchyma of
wood.
b. Homogenized structure in
durain with nominal
superficial mineral matter.
c.
e. f.
d.
c. & d. Fibrous parenchyma
of wood showing pitted
vessels in a linear
equidistant fashion.
Fusain showing its
characteristic phyteral
porosity
e. Massive impregnation of
mineral matter in durain.
Very little matrix porosity
within mineral matter.
f. EDX spectra of mineral
found in durain showing
high content of Si & Al
(17.16 and 7.64 wt %).
QUANTITATIVE ANALYSIS OF MICROSTRUCTURES
ACQUISITION OF
SEM IMAGES
• SE images for
morphology & BSE
for plugged pores
MOSAIC
• Using image
interpretation
software or Arc GIS
SEGMENTATIO
N OF UNFILLED
AND PLUGGED
PORES
• Contour tool in Arc
GIS.
PORE
DISTRIBUTION,
GEOMETRY & %
OF PLUGGED
STRUCTURES
• Using
computational
methods
 Megascopically, these coals are Banded Bright in nature.
 As per the grading based on Useful Heat Value (UHV), the coals have been classified as
Grade-D non coking coals.
 Rank of coal samples as per German (DIN) and North America (ASTM) classification,
based on volatile matter (dry ash free basis) is found to be High Volatile Bituminous.
 Elemental analysis using EDX on different humic lithotypes is in accordance to our
knowledge of lithotypes being environment specific.
 On the basis of different coal petrographic models, the coal seam –I of Ramagundam coal
belt, Godavari valley is inferred to have formed in a fluvial environment with low rate of
subsidence. Alternating oxic to anoxic conditions of forest swamp to reed marsh with
increasing anoxic conditions prevailed during the time of seam formation.
 Characterization of microstructures under SEM shows that:
 Dull bands are dominated by phyteral porosity where as bright bands are dominated
by fracture porosity and macropores.
 Most of the microstructures are plugged with mineral matter.
CONCLUSIONS
REFERENCES
• ASTM D-388. Standard Classification of Coals by Rank.
• BIS, 2003. Methods of test for coal and coke (2nd revision of IS: 1350). Part I, Proximate analysis. Bureau of
Indian Standard, 1-29.
• Diessel, C.F.K., 1986. On the correlation between coal facies and depositional environments. Proceeding 20th
Symposium of Department Geology, University of New Castle, New South Wales, 19-22.
• Diessel, C.F.K., 1992. Coal Bearing Depositional Systems. Springer-Verlag, Berlin, 721p.
• Gamson, Paul D, B Basil Beamish, and Coalseam Gas. 1993. “Coal Microstructure and Micropermeability
and Their Effects Natural Gas Recovery” 72: 87–99.
• https://www.uky.edu/KGS/coal/coalkinds.htm
• Mukhopadhyay, G. et al., 2010. Stratigraphic correlation between different Gondwana Basins of India.
Journal of the Geological Society of India, 76(3), pp.251–266.
• Mukhopadhyay, P. K. (1986). Petrography of selected, Wilcox and Jockson group Lignite from Tertiary of
Taxas in Finkelman, R. B., Casagrade, D. J. (Eds) Geology of Gulf Coast Lignites 1986, Annu, Meet.
Geological Society of America, Coal Geol. Div. Field Trip. Pp 126-145
• Singh, M.P. & Singh, P. K 1996: Petrographic characterization and evolution of the Permian coal deposits of
the Rajmahal basin, Bihar, India. International Journ. coal Geol., Elsevier, The Netherlands. 29: 93-118
• Various authors., 2015. Annual report. S.C.C.L., 2015
• www.nyfo.fws.gov
kushank bajaj_ppt_thesis

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kushank bajaj_ppt_thesis

  • 1. “Characterization of Coals from Seam-I, Ramagundam coalfield, Pranhita-Godavari valley with special emphasis on the assessment of microstructures under Scanning Electron Microscope” Supervised by: Prof. M.P. Singh Department of Geology Banaras Hindu University Presented by: Kushank Bajaj M.Sc.(Tech) Geology Banaras Hindu University
  • 2. Grade: Rank: Type: OVERVIEW  Study area  GRADE & RANK: Proximate analysis  TYPE : Coal facies • Megascopic: on the basis of lithotypes • Lithotype under SEM-EDX • Maceral & Microlithotype: Depositional environment  PLUGGING OF MICROSTRUCTURES: Problem • Microstructures in coal • SEM: A qualitative assessment • Possible quantitative assessment  Conclusions www.nyfo.fws.gov https://www.uky.edu/KGS/coal/coalkinds.htm COAL CHARACTERIZATION
  • 3. STUDY AREA Mukhopadhyay et al., 2010 S.C.C.L., 2015
  • 5. SAMPLE Moisture % VM% ASH % Fixed carbon % RG_1 3.42 28.34 39.30 28.94 RG_2 1.14 24.08 13.07 61.71 RG_3 2.57 26.52 38.36 32.55 RG_4 2.18 33.49 24.49 39.84 RG_5 1.63 30.92 18.83 48.62 RG_6 2.24 26.36 17.81 53.59 RG_7 1.81 34.42 38.69 25.08 Sample Volatile Matter % Fixed carbon % RG_1 49.48 50.52 RG_2 28.07 71.93 RG_3 44.90 55.10 RG_4 45.67 54.33 RG_5 38.88 61.12 RG_6 32.97 67.03 RG_7 57.85 42.15 0 10 20 30 40 50 60 70 80 1 2 3 4 5 6 7 Percentage% Sample No. Volatile matter % Fixed carbon % PROXIMATE ANALYSIS Data of proximate analysis (air dried basis) in wt. % Macroscopic section and proximate data profiles of the coal seam. Volatile Matter and Fixed Carbon Recalculated on dry ash free basis. Proximate Data showing an inverse relation between volatile matter and fixed carbon (daf basis)
  • 6. UHV=8900-138(ASH +MOISTURE %) Kcal/Kg Grade UHV(Kcal/Kg) A Exceeding 6200 B Exceeding 5600 but not exceeding 6200 C Exceeding 4940 but not exceeding 5600 D Exceeding 4200 but not exceeding 4940 E Exceeding 3360but not exceeding 4200 F Exceeding 2400but not exceeding 3360 G Exceeding 1300but not exceeding 2400 Sample Moisture% ASH % UHV (Kcal/Kg) Grade RG_1 3.42 39.30 3004.98 F RG_2 1.14 13.07 6939.54 A RG_3 2.57 38.36 3251.47 F RG_4 2.18 24.49 5219.12 C RG_5 1.63 18.83 6076.31 B RG_6 2.24 17.81 6133.21 B RG_7 1.81 38.69 3311.62 F GRADE: USEFUL HEAT VALUE Average Grade of coal seam: D- Grade Indian grading of non-coking coal Grading of Seam- I, Ramagundam coalbelt
  • 8. MEGASCOPIC CHARACTERIZATION: Lithotypes ; using I.C.C.P RULES & DIESSEL’S CLASSIFICATION Bright coal (RG_1), b. Banded Bright coal (RG_2), c. Banded Dull coal (RG_3), d. Banded Bright coal (RG_4), e. Banded Bright coal (RG_5), f. Banded Bright coal (RG_6), g. Banded Bright coal (RG_7) Macroscopic seam profile of Seam-I, Ramagundam coal belt, Godavari Valley Coalfield.
  • 9. COAL LITHOTYPES Variation of Carbon and Oxygen weight percentage in different lithotypes Vitrain: Forest plant mat. & high bacterial activity Durain: High water level, inundation of mineral matter Clarain: Frequent variation in climate condition, alternate dry & flooding Fusain: dry/ forest fire
  • 10. Sample No. Vitrinite % Liptinite % Inertinite % Mineral Matter% RG_1 47.90 3.36 18.49 30.25 RG_2 36.84 0.00 24.56 38.60 RG_3 34.19 0.85 19.66 44.44 RG_4 41.82 4.55 10.91 40.00 RG_5 39.42 0.00 18.27 34.62 RG_6 42.86 0.00 16.96 40.18 RG_7 27.91 1.55 31.78 38.76 0.00 10.00 20.00 30.00 40.00 50.00 RG_1 RG_2 RG_3 RG_4 RG_5 RG_6 RG_7 Frequency distribution of Group Macerals (in Vol %) Vitrinite % Liptinite % Inertinite % Mineral Matter% MICROSCOPIC CONSTITUENTS : DEPOSITIONAL ENVIRONMENT
  • 11. Sample No. Gelification Index Tissue Preservation Index RG_1 2.71 1.73 RG_2 1.50 1.03 RG_3 1.74 1.28 RG_4 3.83 1.10 RG_5 2.16 1.03 RG_6 2.53 1.00 RG_7 0.88 1.13 GI = (Vitrinite + Macrinite) / (Semi-Fusinite + Fusinite + Inertodetrinite) TPI = (Telinite + Collotelinite + Fusinite + Semifusinite) / (Collodetrinite + Macrinite + Inertodetrinite) Samp le No. Vitrinite Group Liptin ite Grou p Inertinite Group Collotel inite % + Telinite % Collodetr inite % Vitro detrin ite % Sporin ite % Semif usinite % fusinite % Inertode trinite % RG_1 22.69 19.33.33 5.04 3.36 13.45 1.68 2.52 RG_2 13.16 22.81 0.88 0 14.91 2.63 7.02 RG_3 11.97 17.09 5.13 3.33 10.26 5.13 4.27 RG_4 11.82 15.45 14.55 4.55 7.27 0.91 2.73 RG_5 13.46 25.00 0.96 0 13.46 1.92 2.68 RG_6 14.29 25.89 2.68 0 12.50 1.79 2.68 RG_7 0.00 19.38 8.53 1.56 26.36 0.78 4.65 DIESSEL MODEL (1986,1992)
  • 12. Sample No. Vitrinite % Liptinite % Inertinit e % RG_1 68.67 4.82 26.51 RG_2 60.00 0.00 40.00 RG_3 62.50 1.56 35.94 RG_4 73.02 7.94 19.05 RG_5 68.33 0.00 31.67 RG_6 71.64 0.00 28.36 RG_7 45.57 2.53 51.90 MUKHOPADHYAY MODEL (1986) Frequency distribution of Group Macerals mmf (in Vol %)
  • 13. Sample No. Vitrinit e % Liptini te % Inertin ite % Mineral Matter% RG_1 47.90 3.36 18.49 30.25 RG_2 36.84 0.00 24.56 38.60 RG_3 34.19 0.85 19.66 44.44 RG_4 41.82 4.55 10.91 40.00 RG_5 39.42 0.00 18.27 34.62 RG_6 42.86 0.00 16.96 40.18 RG_7 27.91 1.55 31.78 38.76 Frequency distribution of Group Macerals (in Vol %) SINGH & SINGH (1996)
  • 14. Microlithotype RG_1 RG_2 RG_3 RG_4 RG_5 RG_6 RG_7 Vitrite 22.33 31.58 19.59 12.73 26.74 21.74 12.90 Liptite 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Inertite 7.77 1.32 7.22 6.36 4.65 3.26 10.75 Clarite V 4.85 2.63 2.06 8.18 0.00 0.00 0.00 Clarite E 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Vitrinertite V 3.88 2.63 3.09 1.82 1.16 1.09 0.00 Vitrinertite I 4.85 0.00 3.09 0.00 1.16 0.00 1.08 Durite I 0.97 2.63 0.00 0.00 1.16 0.00 0.00 Durite E 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Carbargilite 47.57 50.00 55.67 57.27 61.63 58.70 67.74 Carbankerite 0.00 1.32 4.12 3.64 3.49 5.43 3.23 Carbopyrite 3.88 6.58 4.12 9.09 0.00 6.52 1.08 Carbopolyminerit e 2.91 1.32 1.03 0.91 0.00 0.00 3.23 Clarodurite 0.97 0.00 0.00 0.00 0.00 3.26 0.00 SMYTH (1979, 1984) MICROLITHOTYP MODEL Frequency distribution of individual Microlithotype
  • 16. Microstructures Width of pathway (um) Length of pathway (um) Orientation Association Fracture porosity Macroporosity Face, butt cleat and 3rd cleat 100-200 >100 90o to bedding Restricted to bright Microfractures Vertical microcleats Horizontal microcleats Blocky fractures Conchoidal fractures Striae 5-20 0.5-2 1-1.5 0.05-0.1 0.1 50-500 50-300 50-200 1-100 5-100 90o to bedding Parallel bedding Irregular Irregular 60-900 to bedding Restricted to bright Restricted to bright Restricted to bright Restricted to bright Restricted to bright Phyteral porosity Cavities associated with organic components 2-4 >10 Parallel to bedding Restricted to dull Matrix porosity In between maceral fragments In between minute particles In between clays 0.05-50 0.01-0.05 0.1-2 0.05-50 0.01-0.05 1-20 Irregular Irregular Parallel to bedding Restricted to dull Restricted to dull Restricted to dull Characterization of microstructures observed in coal using SEM, modified after Gamson, Beamish, and Gas 1993 Pore sizes Coal rank (ASTM Designation) Micropores d<2 nm high volatile bituminous coal A and higher Mesopores 2 nm< d < 50 nm high volatile bituminous coal (C+B) Macropores d>50 nm lignites + sub-bituminous
  • 17. The plugging influences:  Ability of gas flow  Pore availability of gas adsorption  Tendency to shrink and swell  Potential of enhanced gas recovery & CO2 sequestration PROBLEM: PLUGGING OF MICROSTRUCTURES BY MINERAL MATTER!
  • 18. a. Disseminated mineral matter in the middle portion. Conchoidal fractures in vitrain bands. b. Unfilled cavity pores ranging from 0.17 to 6.23 µm in telinite fragment. c. Numerous macropores ranging from 100 to 10 µm, mineral matter is present as plugging material in some pores and in blanket form. d. Red sphere shows conchoidal microfractures plugged with mineral matter in thin bands of vitrain. The yellow sphere show a macropore. a. 6.23 um 0.17 um b. c. d. QUALITATIVE ANALYSIS OF MICROSTRUCTURES
  • 19. e. f. e. Conchoidal microfractures in vitrain filled my mineral matter. f. Blanket of mineral matter on vitrain bands. Unfilled pores of various sizes ranging from 40 to 5µm. a. b. a. Durain showing phyteral porosity within compressed fibrous parenchyma of wood. b. Homogenized structure in durain with nominal superficial mineral matter.
  • 20. c. e. f. d. c. & d. Fibrous parenchyma of wood showing pitted vessels in a linear equidistant fashion. Fusain showing its characteristic phyteral porosity e. Massive impregnation of mineral matter in durain. Very little matrix porosity within mineral matter. f. EDX spectra of mineral found in durain showing high content of Si & Al (17.16 and 7.64 wt %).
  • 21. QUANTITATIVE ANALYSIS OF MICROSTRUCTURES ACQUISITION OF SEM IMAGES • SE images for morphology & BSE for plugged pores MOSAIC • Using image interpretation software or Arc GIS SEGMENTATIO N OF UNFILLED AND PLUGGED PORES • Contour tool in Arc GIS. PORE DISTRIBUTION, GEOMETRY & % OF PLUGGED STRUCTURES • Using computational methods
  • 22.  Megascopically, these coals are Banded Bright in nature.  As per the grading based on Useful Heat Value (UHV), the coals have been classified as Grade-D non coking coals.  Rank of coal samples as per German (DIN) and North America (ASTM) classification, based on volatile matter (dry ash free basis) is found to be High Volatile Bituminous.  Elemental analysis using EDX on different humic lithotypes is in accordance to our knowledge of lithotypes being environment specific.  On the basis of different coal petrographic models, the coal seam –I of Ramagundam coal belt, Godavari valley is inferred to have formed in a fluvial environment with low rate of subsidence. Alternating oxic to anoxic conditions of forest swamp to reed marsh with increasing anoxic conditions prevailed during the time of seam formation.  Characterization of microstructures under SEM shows that:  Dull bands are dominated by phyteral porosity where as bright bands are dominated by fracture porosity and macropores.  Most of the microstructures are plugged with mineral matter. CONCLUSIONS
  • 23. REFERENCES • ASTM D-388. Standard Classification of Coals by Rank. • BIS, 2003. Methods of test for coal and coke (2nd revision of IS: 1350). Part I, Proximate analysis. Bureau of Indian Standard, 1-29. • Diessel, C.F.K., 1986. On the correlation between coal facies and depositional environments. Proceeding 20th Symposium of Department Geology, University of New Castle, New South Wales, 19-22. • Diessel, C.F.K., 1992. Coal Bearing Depositional Systems. Springer-Verlag, Berlin, 721p. • Gamson, Paul D, B Basil Beamish, and Coalseam Gas. 1993. “Coal Microstructure and Micropermeability and Their Effects Natural Gas Recovery” 72: 87–99. • https://www.uky.edu/KGS/coal/coalkinds.htm • Mukhopadhyay, G. et al., 2010. Stratigraphic correlation between different Gondwana Basins of India. Journal of the Geological Society of India, 76(3), pp.251–266. • Mukhopadhyay, P. K. (1986). Petrography of selected, Wilcox and Jockson group Lignite from Tertiary of Taxas in Finkelman, R. B., Casagrade, D. J. (Eds) Geology of Gulf Coast Lignites 1986, Annu, Meet. Geological Society of America, Coal Geol. Div. Field Trip. Pp 126-145 • Singh, M.P. & Singh, P. K 1996: Petrographic characterization and evolution of the Permian coal deposits of the Rajmahal basin, Bihar, India. International Journ. coal Geol., Elsevier, The Netherlands. 29: 93-118 • Various authors., 2015. Annual report. S.C.C.L., 2015 • www.nyfo.fws.gov