Coal pore systems can be commonly classified as diffusion pores, permeation pores and cleats. The classification accuracy influences the coalbed methane (CBM) migration processes from diffusion to permeation and then to outflow, and finally affects the predicted CBM recoverability. To classify coal pore systems precisely, measurements of nuclear magnetic resonance (NMR), mercury intrusion porosimetry (MIP), and nitrogen adsorption isotherm (NAI) are conducted in this paper, and then a comprehensive classification method is proposed. The following cognitions are achieved. NMR spectra can be divided into three categories of three-peak, single narrow peak, and non-three/non-single-narrow peak spectra. The former two categories can be directly used to identify coal pore systems as one peak representing one pore system, and pore systems of the last category can be distinguished by using cumulative amplitudes at the fully water-saturated and centrifuged conditions. Fractal theory suggests that the dividing radii of diffusion–permeation pores obtained by MIP and NAI are quite close, which indicates that the two methods are both effective and accurate. Comparisons between mercury intrusive and cumulative amplitudes indicate that the classification results obtained by measurements of MIP and NMR are similar, which can be a base for transforming transverse relaxation time to pore radius. As a result, the dividing radius of diffusion–permeation pores is about 65 nm, and that of permeation–cleat pores is approximately 600–700 nm.

References

1.
Law
,
B. E.
, and
Rice
,
D. D.
,
1993
, Hydrocarbons From Coal (AAPG Studies in Geology), Vol.
38
, American Association of Petroleum Geologists, Tulsa, OK.
2.
Adams
,
T. F.
,
Schmidt
,
S. C.
, and
Carter
,
W. J.
,
1981
, “
Permeability Enhancement Using Explosive Techniques
,”
ASME J. Energy Res. Technol.
,
103
(
2
), pp.
110
118
.
3.
Bustin
,
R. M.
, and
Clarkson
,
C. R.
,
1998
, “
Geological Controls on Coal Bed Methane Reservoir Capacity and Gas Content
,”
Int. J. Coal Geol.
,
38
(
1–2
), pp.
3
26
.
4.
Crosdale
,
P. J.
,
Beamish
,
B. B.
, and
Valix
,
M.
,
1998
, “
Coalbed Methane Sorption Related to Coal Composition
,”
Int. J. Coal Geol.
,
35
(
1–4
), pp.
147
158
.
5.
Radlinski
,
A. P.
,
Mastalerz
,
M.
,
Hinde
,
A. L.
,
Hainbuchner
,
M.
,
Rauch
,
H.
,
Baron
,
M.
,
Lin
,
J. S.
,
Fan
,
L.
, and
Thiyagarajan
,
P.
,
2004
, “
Application of SAXS and SANS in Evaluation of Porosity, Pore Size Distribution and Surface Area of Coal
,”
Int. J. Coal Geol.
,
59
(
3–4
), pp.
245
271
.
6.
Yao
,
Y.
,
Liu
,
D.
,
Cai
,
Y.
, and
Li
,
J.
,
2010
, “
Advanced Characterization of Pores and Fractures in Coals by Nuclear Magnetic Resonance and X-Ray Computed Tomography
,”
Sci. China: Earth Sci.
,
53
(
6
), pp.
854
862
.
7.
Jerzy
,
S.
, and
Stanislaw
,
N.
,
2012
, “
Computer Modeling of Coal Bed Methane Recovery in Coal Mines
,”
ASME J. Energy Res. Technol.
,
134
(
3
), p.
032804
.
8.
Jahediesfanjani
,
H.
, and
Civan
,
F.
,
2005
, “
Damage Tolerance of Well Completion and Stimulation Techniques in Coalbed Methane Reservoirs
,”
ASME J. Energy Res. Technol.
,
127
(
3
), pp.
248
256
.
9.
Yeh
,
N. S.
,
Davison
,
M. J.
, and
Raghavan
,
R.
,
1986
, “
Fractured Well Responses in Heterogeneous Systems-Application to Devonian Shale and Austin Chalk Reservoirs
,”
ASME J. Energy Res. Technol.
,
108
(
2
), pp.
120
130
.
10.
Sakurovs
,
R.
,
He
,
L.
,
Melnichenko
,
Y. B.
,
Radlinski
,
A. P.
,
Blach
,
T.
,
Lemmel
,
H.
, and
Mildner
,
D. F. R.
,
2012
, “
Pore Size Distribution and Accessible Pore Size Distribution in Bituminous Coals
,”
Int. J. Coal Geol.
,
100
, pp.
51
64
.
11.
Clarkson
,
C. R.
, and
Bustin
,
R. M.
,
1996
, “
Variation in Micropore Capacity and Size Distribution With Composition in Bituminous Coal of the Western Canadian Sedimentary Basin: Implications for Coalbed Methane Potential
,”
Fuel
,
75
(
13
), pp.
1483
1498
.
12.
Gan
,
H.
,
Walker
,
P. L.
, and
Nandi
,
S. P.
,
1972
, “
Nature of Porosity American Coals
,”
Fuel
,
51
(
2
), pp.
272
277
.
13.
Vahid
,
D.
,
Yu
,
M.
,
Stefan
,
Z. M.
, and
James
,
B.
,
2015
, “
The Effects of Anisotropic Transport Coefficients on Pore Pressure in Shale Formations
,”
ASME J. Energy Res. Technol.
,
137
(
3
), p.
032905
.
14.
Yee
,
D.
,
Seidle
,
J. P.
, and
Hanson
,
W. B.
,
1993
, “
Gas Sorption on Coal and Measurement of Gas Content
,”
AAPG Studies in Geology
, Vol.
38
,
B. E.
Law
and
D. D.
Rice
, eds., American Association of Petroleum Geologists, Tulsa, OK.
15.
Gong
,
G.
,
Xie
,
Q.
,
Zheng
,
Y.
,
Ye
,
S.
, and
Chen
,
Y.
,
2009
, “
Regulation of Pore Size Distribution in Coal-Based Activated Carbon
,”
New Carbon Mater.
,
24
(
2
), pp.
141
146
.
16.
Reeves
,
S.
, and
Pekot
,
L.
,
2001
, “
Advanced Reservoir Modeling in Desorption-Controlled Reservoirs
,”
Society of Petroleum Engineers Rocky Mountain Petroleum Technology Conference
(
SPE
), Keystone, CO, May 21–23, Paper No. SPE 71090.
17.
Wei
,
Z.
, and
Zhang
,
D.
,
2010
, “
Coupled Fluid Flow and Geomechanics for Triple-Porosity/Dual-Permeability Modeling of Coalbed Methane Recovery
,”
Int. J. Rock Mech. Min.
,
47
(
8
), pp.
1242
1253
.
18.
Hodot
,
B. B.
,
1961
,
Coal and Gas Outburst
,
S.
Song
and
Y.
Wang
, Translators,
China Industry Press
,
Beijing
.
19.
Fu
,
X.
,
Qin
,
Y.
,
Zhang
,
W.
,
Wei
,
C.
, and
Zhou
,
R.
,
2005
, “
Fractal Classification and Natural Classification of Coal Pore Structure Based on Migration of Coal Bed Methane
,”
Chin. Sci. Bull.
,
50
(
1
), pp.
66
71
.
20.
Yao
,
Y.
,
Liu
,
D.
,
Che
,
Y.
,
Tang
,
D.
,
Tang
,
S.
, and
Huang
,
W.
,
2010
, “
Petrophysical Characterization of Coals by Low-Field Nuclear Magnetic Resonance (NMR)
,”
Fuel
,
89
(
7
), pp.
1371
1380
.
21.
Zou
,
M.
,
Wei
,
C.
,
Zhang
,
M.
,
Shen
,
J.
,
Chen
,
Y.
, and
Qi
,
Y.
,
2013
, “
Classifying Coal Pores and Estimating Reservoir Parameters and Nuclear Magnetic Resonance and Mercury Intrusion Porosimetry
,”
Energy Fuels
,
27
(
7
), pp.
3699
3708
.
22.
Li
,
S.
,
Tang
,
D.
,
Xu
,
H.
, and
Yang
,
Z.
,
2012
, “
Advanced Characterization of Physical Properties of Coals With Different Coal Structures by Nuclear Magnetic Resonance and X-Ray Computed Tomography
,”
Comput. Geosci.
,
48
, pp.
220
227
.
23.
Fu
,
G.
,
Zhang
,
Y.
, and
Zou
,
D.
,
1997
, “
The Measurement and Analysis of the Balanced Contact Angle Between Coal and Pure Water
,”
Coal Convers.
,
20
(
4
), pp.
60
62
(In Chinese with English abstract).
24.
Kruk
,
M.
,
Jaroniec
,
M.
, and
Bereznitski
,
Y.
,
1996
, “
Adsorption Study of Porous Structure Development in Carbon Blacks
,”
J. Colloid Interface Sci.
,
182
(
1
), pp.
282
288
.
25.
Yao
,
Y.
, and
Liu
,
D.
,
2012
, “
Comparison of Low-Field NMR and Mercury Intrusion Porosimetry in Characterizing Pore Size Distributions of Coals
,”
Fuel
,
95
, pp.
152
158
.
26.
Friesen
,
W. I.
, and
Mikule
,
R. J.
,
1987
, “
Fractal Dimensions of Coal Particles
,”
J. Colloid Interface Sci.
,
20
(
1
), pp.
263
271
.
27.
Yao
,
Y.
,
Liu
,
D.
,
Tang
,
D.
,
Tang
,
S.
,
Huang
,
W.
,
Liu
,
Z.
, and
Che
,
Y.
,
2009
, “
Fractal Characterization of Seepage-Pores of Coals From China: An Investigation on Permeability of Coals
,”
Comput. Geosci.
,
35
(
6
), pp.
1159
1166
.
28.
Lu
,
G.
,
2012
, “
Characterization of Fractal Theory on the Size and Pore of Pulverized Coal
,”
Clean Coal Technol.
,
18
(
3
), pp.
29
32
(in Chinese with English abstract).
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