Isotopic evidence for quasi-equilibrium chemistry in
thermally mature natural gases
Nivedita Thiagarajan
a,1
, Hao Xie
a
, Camilo Ponton
b
, Nami Kitchen
a
, Brian Peterson
c
, Michael Lawson
d
, Michael Formolo
e
,
Yitian Xiao
e
, and John Eiler
a
a
Department of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125;
b
Geology Department, Western Washington
University, Bellingham, WA 98225;
c
ExxonMobil Corporate Strategic Research, Annandale, NJ 08801;
d
ExxonMobil Upstream Business Development, Spring,
TX 77389; and
e
ExxonMobil Upstream Research Company, Spring, TX 77389
Edited by Mark H. Thiemens, University of California San Diego, La Jolla, CA, and approved January 17, 2020 (received for review April 25, 2019)
Natural gas is a key energy resource, and understanding how it
forms is important for predicting where it forms in economically
important volumes. However, the origin of dry thermogenic natural
gas is one of the most controversial topics in petroleum geochem-
istry, with several differing hypotheses proposed, including kinetic
processes (such as thermal cleavage, phase partitioning during
migration, and demethylation of aromatic rings) and equilibrium
processes (such as transition metal catalysis). The dominant para-
digm is that it is a product of kinetically controlled cracking of long-
chain hydrocarbons. Here we show that C
2
+
n
-alkane gases (ethane,
propane, butane, and pentane) are initially produced by irreversible
cracking chemistry, but, as thermal maturity increases, the isotopic
distribution of these species approaches thermodynamic equilib-
rium, either at the conditions of gas formation or during reservoir
storage, becoming indistinguishable from equilibrium in the most
thermally mature gases. We also find that the pair of CO
2
and C
1
(methane) exhibit a separate pattern of mutual isotopic equilibrium
(generally at reservoir conditions), suggesting that they form a sec-
ond, quasi-equilibrated population, separate from the C
2
to C
5
com-
pounds. This conclusion implies that new approaches should be
taken to predicting the compositions of natural gases as functions
of time, temperature, and source substrate. Additionally, an isotopi-
cally equilibrated state can serve as a reference frame for recogniz-
ing many secondary processes that may modify natural gases after
their formation, such as biodegradation.
stable isotopes
|
compound-specific isotope analysis
|
clumped isotopes
|
natural gas
|
methane
N
atural gas is primarily composed of volatile alkanes contain-
ing five or fewer carbon atoms and is widely distributed in the
subsurface. It is a key resource (1), and is increasingly viewed as
a transition fuel that can reduce CO
2
emissions relative to coal
and oil as the world
’
s economies move toward carbon-free en-
ergy systems. However, the utilization of natural gas poses en-
vironmental risks, as leakage contributes significantly to total
atmospheric methane, a significant greenhouse gas. Ethane,
propane, and butane have short atmospheric lifespans, but they
also increase the production of tropospheric ozone, a respiratory
hazard and pollutant (2, 3).
Understanding the mechanisms of natural gas formation is
critical for predicting where it forms in economic volumes and
for recognizing its release to the environment. Hydrocarbons in
natural gas are believed to come from two sources, one from
biological processes (
“
biogenic gas
”
) (4) and the other from the
thermal cracking of kerogen and oil (
“
thermogenic gas
”
). There
is disagreement over the origin of thermogenic gas. The pre-
dominant view is that it is created by irreversible, thermally acti-
vated breakdown of hydrocarbon solids and liquids, with reactions
dominated by the cleavage of carbon
−
carbon bonds (or
“
crack-
ing
”
) (5, 6) (Fig. 1
A
). However, laboratory experiments involving
heating of hydrocarbons generally produce hydrocarbon gases that
differ in molecular composition from natural gases. Natural gas
reservoirs tend to have greater than 80% methane, while pyrolysis
experiments only produce 10 to 65% methane (7
–
10). Additionally
hydrocarbons exist in geologic environments at temperatures that
are much greater than their predicted stability based on experi-
mentally derived models of catagenesis (11, 12).
Most explanations for this discrepancy argue that natural gas
is generated with a chemistry more similar to products of crack-
ing experiments, but its molec
ular proportions are then modi-
fied by secondary processes, such as methane enrichment by
buoyancy-driven fractionation during the migration of gas from its
source reservoir (13, 14) or methane enrichment from exception-
ally high-temperature catagenesis at equivalent thermal maturities
far in excess of those explored by most experiments (12). Addi-
tionally, methane-rich thermogenic gases are often suspected of
containing a component of biogenic gas (e.g., ref. 15). None of
these processes challenge the fundamental view of catagenesis as a
family of irreversible reactions that break down larger hydrocarbon
molecules to form smaller ones (Fig. 1
A
).
One alternative hypothesis holds that thermogenic gases are
generated through catalytic equilibrium processes. Previous work
has suggested that hydrocarbons, water, and authigenic minerals
in hydrocarbon reservoirs are in a metastable equilibrium (16
–
19),
while other laboratory experiments have suggested that methane,
ethane, and propane are in a metathetic equilibrium (20). Support
for the metastable equilibrium hypothesis comes from theoretical
calculations (16) as well as laboratory experiments that mix pre-
cursor hydrocarbons with catalysts, which, upon heating, produce
low-molecular weight
n
-alkane gases with molecular proportions
Significance
The mechanisms of natural gas formation are important to the
carbon cycle and predicting where economical amounts of nat-
ural gas form. However, the formation mechanisms of natural
gas are not clear, with hypotheses including both irreversible
chemical processes such as thermal cracking of long-chain hy-
drocarbons and thermodynamic equilibrium processes such as
transition metal catalysis. Here we show that hydrocarbon spe-
cies in natural gases are initially produced by irreversible cracking
chemistry, but, as thermal maturity increases, the H and C iso-
topic distributions within and among coexisting light
n
-alkanes
approach thermodynamic equilibrium, either at the conditions of
gas formation or during reservoir storage. Our finding has sig-
nificant implications for natural gas exploration.
Author contributions: N.T., H.X., C.P., and J.E. designed research; N.T., H.X., C.P., N.K., B.P.,
M.L., M.F., and Y.X. performed research; N.T
., H.X., C.P., and J.E. analyzed data; and
N.T., H.X., C.P., B.P., M.L., M.F., and J.E. wrote the paper.
The authors declare no competing interest.
This article is a PNAS Direct Submission.
Published under the
PNAS license
.
1
To whom correspondence may be addressed. Email: nivedita@caltech.edu.
This article contains supporting information online at
https://www.pnas.org/lookup/suppl/
doi:10.1073/pnas.1906507117/-/DCSupplemental
.
First published February 11, 2020.
www.pnas.org/cgi/doi/10.1073/pnas.1906507117
PNAS
|
February 25, 2020
|
vol. 117
|
no. 8
|
3989
–
3995
EARTH, ATMOSPHERIC,
AND PLANETARY SCIENCES
Downloaded at California Institute of Technology on February 26, 2020
more closely resembling natural gases (21
–
23). Finally, another
hypothesis is that thermogenic gases are created by a network of
radical chain reactions among the gas species, dominated by fast
radical transfer reactions and beta-scission leading to thermody-
namic equilibrium (Fig. 1
B
). If these equilibrium hypotheses are
correct, it implies that natural gases are products of thermal
breakdown of larger hydrocarbons, but form gases in proportions
governed by the free energies of formation of alkanes and related
alkenes and radicals, rather than the rate constants for irreversible
cracking of large molecules. This difference would substantially
change how we predict and interpret the chemistry of natural gases
as functions of temperature, time, and compositions of source
substrates.
The distributions of naturally occurring stable isotopes (princi-
pally
13
C and D) within and between the molecular constituents of
natural gases offer tests of whether thermogenic gas production
is controlled by irreversible cracking or equilibrium processes.
Cracking chemistry yields products having isotopic contents that
depend on the compositions of the substrates and the kinetic
isotope effects (KIEs) associate
dwithirreversiblereactions,
whereas systems in a metastable equilibrium have isotopic distri-
butions closely resembling thermodynamic equilibrium, which can
be predicted based on the partition function ratios of the com-
pounds of interest. It has been previously shown that methane,
ethane, and propane in some natural gases have molecular
proportions and
13
C/
12
C ratios that resemble thermodynamic
equilibrium and not thermal cleavage (21).
Here we extend that argument in three ways: 1) We have
measured or compiled C and H isotopic compositions of methane
(C
1
), ethane (C
2
), propane (C
3
), butane (C
4
), pentane (C
5
), and
CO
2
for 119 gases from 20 conventional, unconventional, oil-
associated, and nonassociated natural deposits around the world.
This extended database provides a far wider sampling and allows
us to use stricter tests of the equilibrium hypothesis than have been
previously considered. 2) Additionally, we include methane clumped
isotope compositions (
Δ
18
values) for a large subset of the gases
we examine (24
–
26). The
Δ
18
value principally reflects enrich-
ment (or depletion) in
13
CH
3
D relative to a stochastic distri-
bution of
13
C and D among all methane isotopologues, and, in
isotopically equilibrated systems, the
Δ
18
value is a function of
temperature. 3) We compare measured isotopic compositions to
a comprehensive set of theoretically predicted equilibrium and
nonequilibrium fractionations between CO
2
and C
1
to C
5
spe-
cies. Our equilibrium models are based on new ab initio calcu-
lations of molecular partition function ratios (see
SI Appendix
for details). Models of nonequilibrium carbon and hydrogen
isotope fractionations are based on previous estimates of KIEs
associated with homolytic cleavage and beta-scission of methyl,
ethyl, propyl, butyl, and pentyl radicals from an
n
-alkane pre-
cursor (27, 28) (
SI Appendix
).
Results and Discussion
We find that our most thermally immature samples (R
o
<
0.8) are
consistent with stable isotope distributions controlled by KIEs.
However, natural gases of moderate or greater maturity (R
o
>
0.8)
have C
2
+
gases (ethane, propane, butane, and pentane) that are
consistent with thermodynamic equilibrium for carbon (Fig. 2 and
SI Appendix
,Fig.S1
) and hydrogen isotopes (
SI Appendix
,Fig.S2
),
considering the combined analytical and model uncertainties. This
pattern is also seen in a global compilation (29) of natural gases
(
SI Appendix
,Fig.S3
). There are three important exceptions to
this pattern which we discuss in the following paragraphs.
One subset of gases that are significant exceptions to this
generalization have
e
13
C(C
3
-C
2
) values greater than 5
‰
and do
not fall on or near the thermodynamic equilibrium fractionation
line in Fig. 2. These samples are shaded in Fig. 2 and
SI Appendix
,
Fig. S2
and share several other traits: All have low apparent
Δ
18
temperatures and relatively low
δ
13
Cand
δ
DofCH
4
, and tend to
have higher than average values for
δ
13
CofCO
2
. These isotope
signatures are all suggestive of biodegradation of oil and/or gas
and resemble isotopic signatures previously seen in natural gases
from the Antrim Shale, Michigan
—
a biodegraded natural gas
deposit (30, 31).
Another subset of gases that are not in isotopic equilibrium
are the hydrogen isotopes of
i
-butane and
i
-pentane (
SI Appen-
dix
, Fig. S4
). This deviation could be an analytical artifact, as it is
difficult to separate
i
-alkanes from
n
-alkanes. Another possibility
is that these species are actually not in equilibrium, and branched
i
-alkanes do not form in the same manner that
n
-alkanes do.
Third, we observe that methane and CO
2
generally are not
coequilibrated with the C
2
to C
5
hydrocarbons in natural gases
from most basins (
SI Appendix
, Fig. S5
). Instead, we find that this
pair of compounds exhibits its own pattern of isotopic signatures
that suggest a second quasi-equilibrated population, separate
from the C
2
to C
5
compounds. This feature is best illustrated in a
plot of
e
13
C(CO
2
−
CH
4
) vs. the methane clumped isotope ap-
parent temperature, which shows that 73% of gas samples having
C
1
/(C
2
+
C
3
)
<
20 (in the thermogenic range) are consistent with
mutual thermodynamic equilibrium for the methane
Δ
18
value and
the intermolecular equilibrium for
13
C/
12
C exchange between CO
2
and CH
4
(Fig. 3). It has been previously suggested that transition
metal catalysts can facilitate carbon isotope equilibrium between
CO
2
and CH
4
(18). A notable exception to this trend is the suite of
C
H
C
H
C
H
C
H
C
H
CH
2CH
H
H
A
B
H
C
H
C
H
C
H
H
CH
C
H
CH
H*
CH
C
H
x2
x2
Fig. 1.
(
A
) A schematic showing examples of butane degradation through
irreversible cracking reactions, and (
B
) a reversible radical reaction network.
*, radical.
3990
|
www.pnas.org/cgi/doi/10.1073/pnas.1906507117
Thiagarajan et al.
Downloaded at California Institute of Technology on February 26, 2020
Eagle Ford gases, which have
e
13
C(CO
2
−
CH
4
)valuesof40to
46
‰
, consistent with equilibration at temperatures of 100 °C to
140 °C
—
similar to the reservoir temperature of
∼
140 °C
—
but
methane clumped isotope compositions suggesting apparent tem-
peratures of
≥
200 °C, and, in some cases, exceeding the nominal
upper bound of thermogenic gas generation of 250 °C (24, 26, 32).
Several hypotheses have been put forward to explain the high
apparent methane clumped isotope temperatures of Eagle Ford
gases, including analytical artifacts and KIEs related to secondary
cracking (30). Thus, the deviation of Eagle Ford gases from this
pattern of CH
4
−
CO
2
equilibrium may reflect the fact that they are
an unusual case where thermogenic methane clumped isotope
apparent temperat
ures do not approach methane formation
temperatures (26).
Some gas samples with C
1
/(C
2
+
C
3
)
>
20
—
generally considered
indicative of biogenic gas or supermature thermogenic gas
—
show
e
13
C(CO
2
−
C
1
) fractionations greater than, equal to, and less than
equilibrium values at the temperatures corresponding to methane
Δ
18
value (Fig. 3). The Santa Barbara Basin seep samples have an
e
13
C(CO
2
−
C
1
) much greater than expected for equilibrium val-
ues, reflecting unusually high
δ
13
CofCO
2
(
∼
22
‰
) with moderate
δ
13
CofCH
4
(
∼−
40
‰
) and elevated [CO
2
]. We suggest that the
high
δ
13
CofCO
2
values as well as the large
e
13
C(CO
2
−
C
1
) (which
corresponds to a temperature of
∼
10 °C) in this suite is due to
methanotrophic processes increasing CO
2
concentrations and
driving CO
2
and C
1
to equilibrate, possibly associated with sulfate-
dependent methane oxidation in shallow sediments at bottom-
water temperatures. A second noteworthy exception of this kind
is the coal-derived gases in the Rotliegend field, which have
e
13
C
(CO
2
−
C
1
) values much lower than values predicted for thermo-
dynamic equilibrium and have the highest
δ
13
CofCH
4
values of
the suite. These coal-derived gas s
amples (33) could h
ave a different
set of precursors than the gases derived from marine source rocks,
which are the bulk of the rest of the suite. The high-maturity
Haynesville Shale formation in addition to the biodegraded gases
(Nebo Hemphill and Olla) have C
1
/C
2
+
3
ratios greater than 20, but
e
13
C(CO
2
−
C
1
) values generally consistent with thermodynamic
equilibrium. We speculate that, in these fields, methane was
introduced to the basin but has had sufficient time and/or exposure
to catalysts to approach C isotopic equilibrium with CO
2
.
The relationship between methane and the higher order
n
-alkanes
is further illuminated by the ob
servation that 88% of measured
hydrogen isotope fractionations between methane and higher-
order hydrocarbons are consiste
nt with thermodynamic equi-
librium at their corresponding methane clumped isotope ap-
parent temperature (
SI Appendix
,Fig.S6
). However, only 30%
of these gas samples are in carb
on isotope equilibrium between
methane and C
2
to C
5
species at that same temperature (Fig.
4). Specifically, gas
samples with a low methane clumped iso-
tope apparent temperature (0 °C to 120 °C) tend to have car-
bon isotope fractionations between methane and C
2
to C
5
alkanes
that are greater than equilibrium at that methane apparent tem-
perature and near the predicted compositions of products of ho-
molytic cleavage or beta-scission, whereas samples with higher
methane clumped isotope apparent temperatures tend to lie closer
to the equilibrium fractionation line (Fig. 4
C
). Additionally, sam-
ples with low methane clumped isotope apparent temperatures
tend to have lower methane
δ
13
C values, in the range commonly
associated with biogenic gas, whereas samples with higher meth-
ane temperatures have higher methane
δ
13
C values, consistent
with common ranges for thermogenic gas. These patterns of var-
iation can be explained if the carbon isotope composition of
thermogenic methane begins in or near equilibrium with coex-
isting C
2
to C
5
hydrocarbons when it first forms, but then sub-
sequent addition of biogenic methane without subsequent
participation in
“
metastable equilibrium
”
reactions involving the
C
2
to C
5
hydrocarbons, lowers the
δ
13
C of methane, increasing
values of
e
13
C(C
x
-C
1
) value (where x
=
2 to 5). In the case of
biogenic addition of methane, hydrogen isotope exchange
among all hydrocarbons must keep pace with addition of this
exotic methane, and the newly formed methane must generally
be capable of exchanging carbon with coexisting CO
2
,asthese
quasi-equilibria are maintained (Fig. 3 and
SI Appendix
, Figs. S2
and S6
). Hydrogen exchange in
n
-alkanes has previously been
documented to occur within approximately year timescales (34).
So, in effect, only the methane carbon pool appears to remain
048
12
0
4
8
12
16
20
-5
0
5
10
15
13
C (butane-ethane)
0
4
8
12
16
20
13
C (butane-ethane)
13
C (propane-ethane)
048
12
13
C (propane-ethane)
13
C (butane-ethane)
13
C (pentane-propane)
-5
0
5
10
15
13
C (pentane-propane)
Thermodynamic Fractionation
Homolytic C-C Cleavage Instantaneous
Homolytic C-C Cleavage Cumulative
Homolytic C-C Cleavage Rayleigh
Beta Scission Instantaneous
Beta Scission Cumulative
Hadrian/Keathley Canyon
Hoover-Diana
Walker Ridge
Green Canyon
Galveston
SYU
Rotliegend
Sleipner Vest
Eagle Ford
La Barge
Santa Barbara Basin
Above Haynesville
Nebo Hemphill
Olla
Scotian Basin
Potiguar
AB
10
020
13
C (butane-ethane)
10
020
UNCONVENTIONAL
NONASSOCIATED
AND ASSOCIATED
CONVENTIONAL
NONASSOCIATED
CONVENTIONAL OIL
ASSOCIATED &
SOLUTION GAS
<0.5
1
1.5
2
2.5+
<0.5
1
1.5
2
2.5+
CD
Fig. 2.
e
13
C (butane
−
ethane) vs.
e
13
C (propane
−
ethane), and
e
13
C(pentane
−
propane) vs.
e
13
C (propane
−
ethane), color-coded by (
A
and
C
) reservoir name or (
B
and
D
)R
o
, a proxy for thermal maturity calculated via
δ
13
C of ethane (46). Eighty-eight percent of measured carbon isotopes of C
2
-C
4
species and 68% of pentane
species are consistent with being in thermodynamic equilibrium. Hydrocarbons initially form through homolytic cleavage (yellow and blue lines) or
β
-scission (brown
lines) mechanisms, as seen in the most-immature reservoirs in our datasets,
such as Walker Ridge and Keathley Canyon. As maturity (time and temperature) in-
creases, a radical reaction network chemistry or catalytic chemistry begins to operate, and the reservoirs approach isotopic equilibrium. The appr
oach to equilibrium
is seen in moderate-maturity reservoirs such as Green Canyon and SYU. The reservoirs that are the most mature, such as Sleipner Vest, Galveston, Above
Haynesville,
and Hogsback, show compositions characteristic of having reached isotopic equilibrium (red solid line). The shaded gases are gases associated with
biodegradation.
Thiagarajan et al.
PNAS
|
February 25, 2020
|
vol. 117
|
no. 8
|
3991
EARTH, ATMOSPHERIC,
AND PLANETARY SCIENCES
Downloaded at California Institute of Technology on February 26, 2020
isolated from the carbon pool in the C
2
to C
5
species once an
exotic, low-
δ
13
C methane source has been introduced.
We also reexamined previously published isotopic data mea-
sured on products of pyrolysis experiments (both catalyzed and
not) to see whether those systems also provide evidence for
equilibrium processes (35
–
39). We confirm the previous sug-
gestion that catalyzed pyrolysis generates gas components that
approach equilibrium (35) (
SI Appendix
, Fig. S7
); moreover, we
find that noncatalyzed pyrolysis, despite producing gases with
molecular proportions that differ from natural gases, also com-
monly exhibit intermolecular C and H isotope fractionations that
approach equilibrium and differ from expectations for homolytic
cleavage and beta-scission (
SI Appendix
, Fig. S8
). This agreement
is relatively close for lower-te
mperature noncatalyzed pyroly-
sis experiments (
≤
400 °C). Large departures from equilibrium
are observed at the highest tem
peratures, generally falling to
progressively larger intermole
cular fractionations at higher
temperatures
—
a pattern that contrasts with natural gases (
SI
Appendix
,Fig.S9
), equilibrium predictions, and models of well-
defined kinetically co
ntrolled processes.
In summary, we find evidence that the distribution of stable
isotopes among the C
1
to C
5
hydrocarbons and CO
2
in natural
gas generally conform to two families of mutual quasi-equilibria:
one being the C isotope contents of the C
2
to C
5
species plus the
H isotope contents of all C
1
to C
5
species, and the second being
C isotopes in methane and CO
2
. Moreover, equilibrium in-
termolecular isotopic distributions are also observed in catalyzed
pyrolysis experiments and noncatalyzed pyrolysis experiments
conducted at relatively low temperatures (
≤
400 °C).
Radical Reaction Network Model.
Most of the compounds present in
natural gas (alkanes, aromatics, thiols, etc.) are thermodynamically
metastable for the temperatures and pressures where they exist
(16, 40). We explore whether our findings could reflect the at-
tainment of a
“
metastable cyclic equilibrium,
”
through a network
of radical chain reactions among the gas species, dominated by fast
radical transfer reaction and beta-scission leading to metastable
equilibrium as has been previous
ly suggested (28). We tested
the plausibility of this hypothe
sis by constructing a model that
tracks the distribution of
13
C among coexisting hydrocarbons that
participate in free radical chain reactions. We do not address
H isotope exchange in the model, as hydrogen in hydrocarbon
molecules is more susceptible to isotope exchange than carbon
under conditions seen in natural gas fields on timescales of days
(34). Therefore, the equilibrium signature that we see in hydrogen
isotope fractionation can be explained by an intermolecular hy-
drogen isotope equilibration, without implying a significant re-
vision to common understanding of cracking reactions. Our carbon
isotope model includes 24 species and 79 reactions, including
initiation, H transfer, radical decomposition, radical termination,
and radical addition reactions. We acquired kinetic parameters
(activation energy and preexponential factor) for each reaction
from the literature (41
–
43). We find that, when a
13
C spike is in-
troduced in any of the species present at the outset of the model
(methane, ethane, propane, and butane), that spike is transferred
to all of the other hydrocarbon species, and, once steady state is
reached, the
13
C/
12
C ratio of each species equals the equilibrium
value. This finding is true regardless of which species contains the
13
C spike when the model is initiated (
SI Appendix
,Fig.S10
). At
500 K, our model comes to equilibrium within a year. We are
unable to run the model at 423 K, due to limitations in compu-
tational power. However, in our model, the exchange rate is
0
100
200
300
400
Methane Temperature
0
100
200
300
400
Methane Temperature
0
100
200
300
400
Methane Temperature
0
20
40
60
0
20
40
60
H
13
C (butane-methane)
Deviation of
H
13
C (butane
-methane) from equilibrium
H
13
C (butane-methane)
-60
-50
-40
-30
G
C of C
-60
-50
-40
-30
G
C of C
A
C
B
-10
0
10
20
R
=0.7
Fig. 4.
e
13
C(butane
−
methane) vs. methane clumped isotope apparent tem-
perature for gases considered in this study color-coded by the corresponding
δ
13
C of methane for each (
A
)gasor(
B
) reservoir. Gas samples with low
methane clumped isotope apparent temperatures also have low
δ
13
Cof
methane and tend to lie above the equilibrium line in this figure, near the
curves for homolytic cleavage or
β
-scission, whereas gases with higher methane
apparent temperatures have higher
δ
13
C of methane values and lie closer to
the equilibrium fractionation line. This correlation is depicted in
C
and is con-
sistent with an input of biogenic methane with very low
δ
13
C values at low
methane temperatures, although we cannot rule out a contribution of low
δ
13
C values via kinetic processes. The red circles in
C
indicate binned averages
over 50 °C intervals. We excluded the Eagle Ford gases for this calculation, as
they are known to have a KIE affecting the methane temperatures. (See Fig. 2
for legend.) The measurement errors for carbon isotopes of butane and CH
4
are 0.5
‰
, and errors plotted for methane temperatures are 1
σ
.
100
200
300
400
Methane Temperature
20
40
60
80
Thermodynamic Fractionation
Haynesville
Marcellus
Walker Ridge
Green Canyon
Galveston
SYU
Rotliegend
Sleipner Vest
Eagle Ford
La Barge
Santa Barbara Basin
Above Haynesville
Nebo Hemphill
Olla
Searcy
10
20
30
40
50+
H
C (CO
-methane)
20
40
60
80
H
C (CO
-methane)
C
/
(C
+C
)
A
B
100
200
300
400
Methane Temperature
Fig. 3.
e
13
C(CO
2
−
methane) of carbon isotopes vs. methane temperature
for gases in the study subdivided by (
A
) basin name and (
B
) gas wetness.
Seventy-three percent of samples having C
1
/(C
2
+
C
3
) values of less than 20
(excluding Eagleford) are consistent with the thermodynamic equilibrium
fractionation (red solid line). Gases associated with biodegradation are
shaded. The Eagle Ford gases are also shaded, as they are suspected to be
influenced by a KIE in clumped isotopes of methane (26). The measurement
errors for carbon isotopes of CO
2
and CH
4
are 0.5
‰
, and errors plotted for
methane temperatures are 1
σ
.
3992
|
www.pnas.org/cgi/doi/10.1073/pnas.1906507117
Thiagarajan et al.
Downloaded at California Institute of Technology on February 26, 2020
limited by the radical initiation steps that have activation energies
ranging from 51 kcal/mol to 88 kcal/mol (41). If we apply an
Arrhenius relationship, the rate of those reactions decreases by a
factor of 10
4
to 10
7
when the temperature changes from 500 K to
423 K. Therefore, we expect that the timescale of equilibration
at geological temperatures will range from 10 kya to 10 Mya.
Given these timescales, these reactions are geologically plausible
and relevant. We propose that, similarly to our radical reaction
model network, natural gas components exchange carbon with one
another through multiple radical reactions, allowing their
13
C
contents to approach equilibrium with one another.
Model for Natural Gas Formation.
The preceding discussion and
model of metastable cyclic equilibrium attempts to explain the
pattern of equilibrium isotopic fractionations seen in C
2
to C
5
components of natural gases; but the exceptions to that pattern are
equally significant (see
SI Appendix
for additional discussion on
clumped isotopologues of small
n
-alkanes). We propose that
three separate processes are responsible for the isotopic varia-
tions observed in natural gas components, and that the isotopic
“
fingerprint
”
of any one gas source reflects the unique combina-
tion of these processes.
First, we argue that the H isotope compositions of C
1
to C
5
hydrocarbons and C isotope compositions of C
2
to C
5
hydro-
carbons often reflect an approach to metastable cyclic equilib-
rium during gas generation and/or deep subsurface storage. It has
been previously argued that such metastable equilibrium requires
catalysts to occur (27), although our reaction network model
achieved the same end state over geologically relevant tempera-
tures and times. We conclude that a metastable cyclic equilibrium
might be aided by solid catalysts, but they are not required. An
important point to note here is that the hydrocarbons in low-
maturity systems are not generated in equilibrium, as seen in the
two least-mature reservoirs in our dataset (Keathley Canyon and
Walker Ridge), which fall near the
β
-scission fractionations and
not near thermodynamic equilibrium. As maturity increases, the
hydrocarbons fall closer to the equilibrium fractionation line. The
approach to equilibrium is seen in moderate-maturity gases such
as Santa Ynez Unit (SYU) and Green Canyon, while the attain-
ment of equilibrium is seen in our most mature gases such as
Hogsback, Above Haynesville, Sleipner Vest, and Galveston
(Fig. 5).
Second, because we find that the CO
2
−
CH
4
pair generally
attains carbon isotope equilibrium without either species nec-
essarily being in C isotope equilibrium with C
2
+
hydrocarbons,
we suggest that oxidation of methane to form CO
2
and reduction
of CO
2
to form methane provides a second, effectively separate
reaction network that allows these two species to maintain equi-
librium without efficient C exchange with other species (18). This
is reasonable because CH
4
is the slowest species to react in our
model of hydrocarbon metastable cyclic equilibrium chemistry, for
example, its hydrogen abstraction reactions being an order of
magnitude slower than for other hydrocarbons (the k of reaction
78 listed in
SI Appendix
is one order of magnitude slower than
reactions 53, 47, and 49). Therefore, it is easy to imagine cases
where methane will react more quickly with oxidants than with
hydrocarbon radicals. Additionally, C
−
C bonds in C
2
+
species are
weaker and relatively easy to cleave compared to C
−
HorC
−
O
bonds in CH
4
and CO
2
. It is noteworthy that the CO
2
−
CH
4
system
often approaches equilibrium at temperatures lower than estab-
lished thermogenic gas generation temperatures and similar to
reservoir conditions. For this reason, we suspect gases often enter
shallow reservoirs near metastable cyclic equilibrium with respect
to isotopic distributions among all molecular species, but, while gas
is stored at shallower depths, methane oxidation and CO
2
re-
duction quickly redistribute
13
C between these two species. This
redistribution could be driven by biological cycling of carbon
between methanogens and methanotrophs, or it could reflect a
catalyzed abiotic reaction (18).
Third, we see that the most marked departures from quasi-
equilibrium isotope distributions among gas components, in-
cluding highly aberrant C isotope fractionations among the C
2
+
species and/or between methane and C
2
+
species, are associated
with recognized signatures of biodegraded gas (especially low
13
C of methane). This feature is seen in reservoirs such as Olla
and Nebo Hemphill. We suggest that this signature becomes
dominant when biogenic production of CH
4
and destruction of
C
2
+
hydrocarbons has altered a large fraction of the initial gas
charge, overwhelming the earlier signature of metastable cyclic
equilibrium and sometimes outstripping the process that pro-
motes quasi-equilibrium of C isotopes between CO
2
and CH
4
.
The mechanisms we propose for hydrocarbon equilibration or
CO
2
−
CH
4
equilibration are similar to previous suggestions that
n
-alkanes (and other small organic molecules) are in a metastable
equilibrium with water in hydrocarbon reservoirs (16, 40). How-
ever, Helgeson et al. (16) suggested C
1
-C
4
hydrocarbons, in par-
ticular, would not participate in these equilibrating reaction
networks at the conditions of natural gas sources or reservoirs.
This conclusion was largely a consequence of his estimates of
reservoir [O
2
] concentrations. Our finding that these species
commonly participate in metastable equilibrium with respect to
C isotope distributions would be consistent with Helgeson et al.
’
s
treatment of metastable equilibria if log
f
O
2
(g) in hydrocarbon
source rocks were
∼
0.5 lower than Helgeson et al. calculated.
Implications.
Our primary finding, that natural gas formation
generally occurs via reaction networks that incorporate meta-
stable equilibrium between some subsets of species, has signifi-
cant implications for central questions regarding the origins and
fates of geological hydrocarbons: Where and when do natural
gases form? What are the chemical proportions of major natural
gas components, and how do they vary in time and space? These
Thermal maturity/burial
(OLLA)
OIL, GAS
(HAYNESVILLE
MARCELLUS )
OIL, GAS
GAS
(GREEN CANYON
& SYU)
(
WALKER RIDGE
& KEATHLEY CANYON)
NON
EQUILIBRIUM
CRACKING
Rock
Diagenesis
Early
La
te
C
a
t
a
g
ene
sis
C
a
tag
ene
si
s
Depos.
SOURCE ROCK
C
HARGED
RESERVOIRS -
1
2
3
METASTABLE CYCLIC
EQUILIBRIUM
S
S
(
O
L
L
A
)
RESERVOIR
SCALE
CYCLING
OIL+
GAS
GAS MIGRATION
CO
2
+
CH
4
BIOGENIC ADDITION
1
2
3
Ro< ~1
Ro ~1-2
Ro> ~2
Fig. 5.
Our model for
n
-alkane generation in natural gas reservoirs. Hy-
drocarbon species are initially produced by cracking mechanisms. This
cracking signature is seen in very immature reservoirs such as Walker Ridge
and Keathley Canyon. As maturity increases, the hydrocarbons fall closer to
the equilibrium fractionation line. The approach to equilibrium is seen in
moderate-maturity gases such as SYU and Green Canyon, while the attainment
of equilibrium is seen in our most-mature gases such as Above Haynesville,
Hogsback, Sleipner Vest, and Galveston. Ro indicates vitrinite reflectance, while
green in the charged reservoirs indicates oil and red indicates gas.
Thiagarajan et al.
PNAS
|
February 25, 2020
|
vol. 117
|
no. 8
|
3993
EARTH, ATMOSPHERIC,
AND PLANETARY SCIENCES
Downloaded at California Institute of Technology on February 26, 2020
questions are generally approached by merging models of basin
thermal evolution with kinetic models for hydrocarbon generation
that are based on extrapolations to geological conditions of the
rates of gas and oil production in high-temperature, laboratory-
timescale experiments. This method may still be the appropriate
approach to predicting the onset of petroleum formation (i.e., as
we find the least-mature natural gases express kinetically con-
trolled fractionations), but, as petroleum systems deepen and
thermally mature, the spatial and temporal distributions and
chemical compositions of gases will be more strongly controlled
by the relative thermodynamic stabilities of major components
and their possible breakdown products; that is, high abundances
of components may be buffered indefinitely where temperature,
pressure, and fugacities of reactive species (e.g., O
2
and H
2
) permit
their persistence and destroyed where other compounds become
more energetically favorable. Helgeson et al. (16) suggested that
proportions of liquid, gas, and solid in petroleum-forming systems
should be evaluated in a way analogous to how we use thermo-
dynamic analysis of other quasi-equilibrium processes, such as
partial fusion of rocks. The findings here extend this argument,
suggesting that the partial pressures of gases of moderately to
highly mature systems also follow thermodynamic principles. For
example, one practical implication of this line of reasoning is that
the conversion of
“
wet
”
(C
2
+
-rich) to
“
dry
”
(methane-dominated)
gas is controlled by thermodynamic conditions (e.g., T, fO
2
,and
fH
2
) and not only source rock maturity as it is conventionally
understood. As such, any effort to predict the possible range in the
abundance of economically and environmentally important vola-
tile hydrocarbons should incorporate thermodynamic models
alongside the thermal history of the source and reservoir interval
in which they are generated and stored.
Methods
Methane Analysis.
Methane (CH
4
) was purified from mixed-gas samples using
previously described methods (44).
δ
D,
δ
13
C, and
Δ
18
of methane were measured
using the Ultra, using previously described methods (44), and reported in
Dataset
S1.
δ
Dand
δ
13
C values are expressed as
δ
D
=
((R
2
H
sa
/R
2
H
VSMOW
)
−
1)*1,000, and
δ
13
C
=
((R
13
C
sa
/R
13
C
VPDB
)
−
1)*1,000, where R
2
H
=
[D/H], R
13
C
=
[
13
C/
12
C)]),
VSMOW is Vienna Standard Mean Ocean Water, and VPDB is Vienna Pee Dee
Belemnite. Clumped isotope compositions are expressed using
Δ
18
notation,
where
Δ
18
=
((
18
R/
18
R*)
−
1)*1,000,
18
R
=
[
13
CH
3
D]
+
[
12
CH
2
D
2
]/[
12
CH
4
], and 18R*
=
(6*[R
2
H]
2
)
+
(4*R
2
H*R
13
C); 18R* is the 18R value expected for a random in-
ternal distribution of isotopologues given the
δ
13
Cand
δ
D value of the sample
(11). The specified isotope ratios are measured from the corresponding ion
beam current ratios, standardized by comparison with a standard of known
composition.
Δ
18
data are reported as per mil (
‰
), where 0
‰
refers to a
random distribution of methane isotopologues. We present measurement
uncertainties for individual samples as 1 SE of the internal measurement
variability for a single measurement. Reported uncertainties for inferred
temperatures are propagated from the 1
σ
errors for
Δ
18
values. Finally,
Δ
18
values can be related to formation t
emperature (K) via the equation
Δ
18
=
−
0.0117*(10
6
/T
2
)
+
0.708*(10
6
/T
2
)
−
0.337 (25).
Higher
n
-alkane Stable Isotope Measurements.
Compositional analysis of gas
samples was perfomed using gas chromatography (GC) as well as thermal
conductivity and flame ionization detectors in Isotech Laboratories in
Champaign, Illinois. Stable isotope values for gas components are measured
using isotope ratio mass spectrometers and reported in
Dataset S2
. The gas
samples are separated into individual components using a GC system. A
cupric oxide furnace then combusts each component into CO
2
and H
2
O.
After purification, CO
2
is analyzed directly, whereas the H
2
O is reacted with
zinc to generate H
2
gas. We use error bars of 0.5
‰
for carbon isotopes and
13
‰
for hydrogen isotopes for all measured hydrocarbons (45).
All of the data reported in this manuscript are available in the
SI Appendix
.
1. A. R. Brandt
et al
., Energy and environment. Methane leaks from North American
natural gas systems.
Science
343
, 733
–
735 (2014).
2. J. F. Gent
et al
., Association of low-level ozone and fine particles with respiratory
symptoms in children with asthma.
JAMA
290
, 1859
–
1867 (2003).
3. M. E. Jenkin, K. C. Clemitshaw, Ozone and other secondary photochemical pollutants:
Chemical processes governing their formation in the planetary boundary layer.
Atmos.
Environ.
34
,2499
–
2527 (2000).
4. M. Schoell, The hydrogen and carbon isotopic composition of methane from natural
gases of various origins.
Geochim. Cosmochim. Acta
44
, 649
–
661 (1980).
5. B. P. Tissot, D. T. Welte,
Petroleum Formation and Occurence
(Springer Verlag, 1984).
6. J. M. Hunt,
Petroleum Geochemistry and Geology
(Freeman, 1995).
7. J. G. McNab, P. V. Smith, R. I. Betts, The evolution of petroleum.
Pet. Eng. Chem.
44
,
2556
–
2563 (1952).
8. K. J. Jack
son, A. K. Burnham, R. L. Braun, K. G. Knauss, Temperature and pressure
dependence of n-hexadecane cracking.
Org. Geochem.
23
, 941
–
953 (1995).
9. R. J. Evans, G. T. Felbeck, High temperature simulation of petroleum formation I. The
pyrolysis of Green River Shale.
Org. Geochem.
4
, 135
–
144 (1983).
10. M. D. Lewan, M. J. Kotarba, D. Wieclaw, A. Piestrzynski, Evaluating transition-metal
catalysis in gas generation from the Permian Kupferschiefer by hydrous pyrolysis.
Geochim. Cosmochim. Acta
72
, 4069
–
4093 (2008).
11. L. C. Price, Thermal stability of hydrocarbons in nature: Limits, evidence, character-
istics, and possible controls.
Geochim. Cosmochim. Acta
57
, 3261
–
3280 (1993).
12. R. I. McNeil, W. O. BeMent, Thermal stability of hydrocarbons: Laboratory criteria and
field examples.
Energy Fuels
10
,60
–
67 (1996).
13. L. C. Price, M. Schoell, Constraints on the origins of hydrocarbon gas from composi-
tions of gases at their site of origin.
Nature
378
, 368
–
371 (1995).
14. A. Prinzhofer, M. R. Mello, T. Takaki, Geochemical characterization of natural gas: A
physical multivariable approach and its applications in maturity and migration esti-
mates.
AAPG Bull.
84
, 1152
–
1172 (2000).
15. D. A. Stolper
et al
., Distinguishing and understanding thermogenic and biogenic
sources of methane using multiply substituted isotopologues.
Geochim. Cosmochim.
Acta
161
,
219
–
247 (2015).
16. H. C. Helgeson, A. M. Knox, C. E. Owens, E. I. Shock, Petroleum oil field waters, and
authigenic mineral assemblages: Are they in metastable equilibrium in hydrocarbon
reservoirs.
Geochim. Cosmochim. Acta
57
, 3295
–
3339 (1993).
17. J. S. Seewald, Aqueous geochemistry of low molecular weight hydrocarbons at ele-
vated temperatures and pressures: Constraints from mineral buffered laboratory
experiments.
Geochim. Cosmochim. Acta
65
, 1641
–
1664 (2001).
18. J. Horita, Carbon isotope exchange in the system CO
2
-CH
4
at elevated temperatures.
Geochim. Cosmochim. Acta
65
, 1907
–
1919 (2001).
19. Y. A. Taran, W. F. Giggenbach,
“
Geochemistry of light hydrocarbons in subduction-
related volcanic and hydrothermal fluids
”
in
Volcanic, Geothermal, and Ore-Forming
Fluids: Rulers and Witnesses of Processes within the Earth
, S. F. Simmons, I. Graham,
Eds. (Society of Economic Geologists, 2005), pp. 61
−
74.
20. F. D. Mango, D. Jarvie, E. Herriman, Natural gas at thermodynamic equilibrium. Im-
plications for the origin of natural gas.
Geochem. Trans.
10
, 6 (2009).
21. F. D. Mango, D. M. Jarvie, Low-temperature gas from marine shales: Wet gas to dry
gas over experimental time.
Geochem. Trans.
10
, 10 (2009).
22. F. D. Mango, Transition metal catalysis in the generation of petroleum and natural
gas.
Geochim. Cosmochim. Acta
56
, 553
–
555 (1992).
23. F. D. Mango, J. W. Hightower, A. T. James, Role of transition-metal catalysis in the
formation of natural gas.
Nature
368
, 536
–
538 (1994).
24. D. A. Stolper
et al
., The utility of methane clumped isotopes to constrain the origins
of methane in natural-gas accumulations.
Geol. Soc. Lond. Spec. Publ.
468
,23
–
52
(2018).
25. D. A. Stolper
et al
., Gas formation. Formation temperatures of thermogenic and
biogenic methane.
Science
344
, 1500
–
1503 (2014).
26. P. M. J. Douglas
et al
., Methane clumped isotopes: Progress and potential for a new
isotopic tracer.
Org. Geochem.
113
, 262
–
282 (2017).
27. Y. Ni,
et al
., Fundamental studies on kinetic isotope effect (KIE) of hydrogen iso-
tope fractionation in natural gas systems.
Geochim. Cosmochim. Acta
75
,2696
–
2707 (2011).
28. Y. Xiao, Modeling the kinetics and mechanisms of petroleum and natural gas gen-
eration: A first principles approach.
Rev. Mineral. Geochem.
42
, 383
–
436 (2001).
29. O. Sherwood, S. Scwietzke, V. Arling, G. Etiope, Global inventory of gas geochemistry
data from fossil fuel, microbial and burning sources, version 2017.
Earth Syst. Sci. Data
9
, 639
–
656 (2017).
30. A. M. Martini, J. M. Budai, L. M. Walter, M. Schoell, Microbial generation of economic
accumulations of methane within a shallow organic-rich shale.
Nature
383
, 155
–
158
(1996).
31. A. M. Martini
et
al
., Microbial production and modification of gases in sedimentary
basins: A geochemical case study from a Devonian shale gas play, Michigan basin.
AAPG Bull.
87
, 1355
–
1375 (2003).
32. J. S. Seewald, Organic-inorganic interactions in petroleum-producing sedimentary
basins.
Nature
426
, 327
–
333 (2003).
33. W. J. Stahl, Carbon and nitrogen isotopes in hydrocarbon research and exploration.
Chem. Geol.
20
, 121
–
149 (1977).
34. E. P. Reeves, J. S. Seewald, S. P. Sylva, Hydrogen isotope exchange between
n
-al-
kanes and water under hydrothermal conditions.
Geochim. Cosmochim. Acta
77
,
582
–
599 (2012).
35. F. D. Mango, L. W. Elrod, The carbon isotopic composition of catalytic gas: A com-
parative analysis with natural gas.
Geochim. Cosmochim. Acta
63
, 1097
–
1106 (1999).
36. F. Lorant, A. Prinzhofer, F. Behar, A.-Y. Huc, Carbon isotopic and molecular con-
straints on the formation and the expulsion of thermogenic hydrocarbon gases.
Chem. Geol.
147
, 249
–
264 (1998).
37. C. Pan, L. Jiang, J. Liu, S. Zhang, G. Zhu, The effects of calcite and montmorillonite on
oil cracking in confined pyrolysis experiments.
Org. Geochem.
41
, 611
–
626 (2010).
3994
|
www.pnas.org/cgi/doi/10.1073/pnas.1906507117
Thiagarajan et al.
Downloaded at California Institute of Technology on February 26, 2020
38. B. Andresen, T. Throndsen, A. Råheim, J. Bolstad, A comparison of pyrolysis products
with models for natural gas generation.
Chem. Geol.
126
, 261
–
280 (1995).
39. J. Du, Z. Jin, H. Xie, L. Bai, W. Liu, Stable carbon isotope compositions of gaseous
hydrocarbons produced from high pressure and high temperature pyrolysis of lignite.
Org. Geochem.
34
,97
–
104 (2003).
40. J. S. Seewald, Evidence for metastable equilibrium between hydrocarbons under
hydrothermal conditions.
Nature
370
, 285
–
287 (1994).
41. K. M. Sundaram, G. F. Froment, Modeling of thermal cracking kinetics. 3. Radical
mechanisms for the pyrolysis of simple paraffins, olefins, and their mixtures.
Ind. Eng.
Chem. Fund.
17
, 174
–
182 (1978).
42. J. R. Fincke
et al
., Plasma thermal conversion of methane to acetylene.
Plasma Chem.
Plasma Process.
22
, 105
–
136 (2002).
43. H. Wang, M. Frenklach, A detailed kinetic modeling study of aromatics formation
in laminar premixed acetylene and ethylene flames.
Combust. Flame
110
,173
–
221
(1997).
44. D. A. Stolper
et al
., Combined
13
C
–
D and D
–
D clumping in methane: Methods and
preliminary results.
Geochim. Cosmochim. Acta
126
, 169
–
191 (2014).
45. T. Umezawa
et al
., Interlaboratory comparison of
δ
13C and
δ
D measurements of
atmospheric CH4 for combined use of data sets from different laboratories.
Atmos.
Meas. Tech.
11
, 1207
–
1231 (2018).
46. M. J. Whiticar,
“
Correlation of natural gases with their sources
”
in
The Petro-
leum System-From Source to Trap
, L. B. Magoon, W. G. Dow, Eds. (AAPG Special
Volume, American Association of Petroleum Geologists, 1994), Vol. 60, pp.
261
−
283.
Thiagarajan et al.
PNAS
|
February 25, 2020
|
vol. 117
|
no. 8
|
3995
EARTH, ATMOSPHERIC,
AND PLANETARY SCIENCES
Downloaded at California Institute of Technology on February 26, 2020