Microbial decomposition
of carbon and biogenic methane in coal
is one of the most important issues in CBM exploration. Using metagenomic
technologies, the microbial C–N–S functional genes in
different hydraulic zones of high-rank coal reservoirs were systematically
studied, demonstrating the high sensitivity of this ecosystem to hydrodynamic
conditions. The results show that the hydrodynamic strength of coal
reservoir #3 in the Shizhuangnan block gradually weakened from east
to west, forming a transitional feature from a runoff area to a stagnant
area. Compared with runoff areas, stagnant areas have higher reservoir
pressure, gas content, and ion concentrations. The relative abundance
of genes associated with C, N, and S cycling increased from the runoff
area to the stagnant area, including cellulose-degrading genes (e.g.,
cellulose 1,4-beta-cellobiosidase), methane metabolism genes (e.g.,
mcr
,
fwd
,
mtd
,
mer
, and
mtr
), N-cycling genes (e.g.,
nifDKH
,
amoB
,
narGHI
,
napAB
,
nirK
,
norC
, and
nosZ
), and S-cycling genes (e.g.,
dsrAB
,
sir
,
cysN
,
sat
,
aprAB
, and
PAPSS
). This indicates
that the stagnant zone had a more active microbial C–N–S
cycle. The machine learning model shows that these significantly different
genes could be used as effective indices to distinguish runoff and
stagnant areas. Carbon and hydrogen isotopes indicate that methane
in the study area was thermally generated. Methanogens compete with
anaerobic heterotrophic bacteria to metabolize limited substrates,
resulting in a low abundance of methanogens. In addition, the existence
of methane-oxidizing bacteria suggests that biogenic methane was consumed
by methanotrophic bacteria, which is the main reason why biogenic
methane in the study area was not effectively preserved. In addition,
weakened hydrodynamic conditions increased genes involved in nutrient
cycling, including organic matter decomposition, methanogenesis, denitrification,
and sulfate reduction, which contributed to the increase in CO
2
and consumption of sulfate and nitrate from runoff areas
to stagnant areas.