Jianghui Ding1,2, Jinchuan Zhang3, Zhipeng Huo3, Baojian Shen1,2, Gang Shi4, Zhenheng Yang1,2, Xingqi Li3, Chuxiong Li1,2. 1. Wuxi Research Institute of Petroleum Geology, Wuxi, Jiangsu 214126, China. 2. State Key Laboratory of Shale Oil and Gas Accumulation Mechanism and Effective Development, Wuxi, Jiangsu 214126, China. 3. China University of Geosciences, Beijing 100083, China. 4. Nanjing Geological Survey Center of China Geological Survey, Nanjing, Jiangsu 210061, China.
Abstract
The black shale in the upper Permian Dalong Formation is considered as an excellent source rock in the Lower Yangtze region. However, mechanisms of organic matter (OM) accumulation in such a setting are scarcely understood. Here, the characteristics of total organic carbon (TOC) and elemental geochemistry of 33 rock samples from GD1 well are systematically investigated to characterize the paleoenvironmental conditions and OM accumulation mechanisms. Results show that the lower and middle parts of Dalong Formation (section A) display high TOC contents ranging from 1.19 to 6.45% (average 3.19%), whereas the upper part (section B) exhibits medium TOC contents varying from 1.18 to 4.90% (average 2.09%). These data also elucidate that the target shales were deposited in a complex paleoenvironment with moderate to strong water-mass restriction that was characterized by warm and semiarid-semihumid paleoclimate, high biotic productivity, fluctuating plaeoredox conditions, and a relatively high sedimentary rate. Compared to the organic-rich shales from section A mainly developed under an anoxic condition, shales from section B formed in an oxic-to-dysoxic water environment exhibited a comparatively higher sedimentary rate. Moreover, among all these factors that might affect OM accumulation, the paleoredox conditions appear to be the dominant controlling factors for section A, whereas the biotic productivity, paleoredox conditions, and sedimentary rate are the main controlling factors for section B. Finally, two formation models for OM accumulation in Dalong Formation shale in the Lower Yangtze region are proposed. The "preservation model" for OM accumulation in section A emphasizes that the reducing deep-water environment, which was mainly caused by the regional sea level rise, is favorable for OM preservation. The "integrated model" for OM accumulation in section B stresses that greater biotic productivity intensifies respiratory oxygen consumption in a water column and a higher sedimentary rate can greatly shorten OM exposure time for respiration by oxygen, both of which cause OM accumulation under an oxidizing water environment. These findings also add to our knowledge that despite the oxygenated water environment during shale deposition, TOC contents are not necessarily lower.
The black shale in the upper Permian Dalong Formation is considered as an excellent source rock in the Lower Yangtze region. However, mechanisms of organic matter (OM) accumulation in such a setting are scarcely understood. Here, the characteristics of totalorganic carbon (TOC) and elemental geochemistry of 33 rock samples from GD1 well are systematically investigated to characterize the paleoenvironmentalconditions and OM accumulation mechanisms. Results show that the lower and middle parts of Dalong Formation (section A) display high TOCcontents ranging from 1.19 to 6.45% (average 3.19%), whereas the upper part (section B) exhibits medium TOCcontents varying from 1.18 to 4.90% (average 2.09%). These data also elucidate that the target shales were deposited in a complex paleoenvironment with moderate to strong water-mass restriction that was characterized by warm and semiarid-semihumid paleoclimate, high biotic productivity, fluctuating plaeoredox conditions, and a relatively high sedimentary rate. Compared to the organic-rich shales from section A mainly developed under an anoxic condition, shales from section B formed in an oxic-to-dysoxic water environment exhibited a comparatively higher sedimentary rate. Moreover, among all these factors that might affect OM accumulation, the paleoredox conditions appear to be the dominant controlling factors for section A, whereas the biotic productivity, paleoredox conditions, and sedimentary rate are the main controlling factors for section B. Finally, two formation models for OM accumulation in Dalong Formation shale in the Lower Yangtze region are proposed. The "preservation model" for OM accumulation in section A emphasizes that the reducing deep-water environment, which was mainly caused by the regional sea level rise, is favorable for OM preservation. The "integrated model" for OM accumulation in section B stresses that greater biotic productivity intensifies respiratory oxygenconsumption in a watercolumn and a higher sedimentary rate can greatly shorten OM exposure time for respiration by oxygen, both of which cause OM accumulation under an oxidizing water environment. These findings also add to our knowledge that despite the oxygenated water environment during shale deposition, TOCcontents are not necessarily lower.
Organic matter (OM)
accumulation is a complicated physical and
chemical process, involving many factors, such as biotic productivity,
paleoredox condition of bottomwater, and sedimentary rate as well
as post-depositional degradation process.[1−10] In the past few decades, the controlling factors of OM enrichment
in modern and ancient sediments have been extensively explored.[1,4,5,11] The
generalconsensus has been reached that OM accumulation in marine
environments calls for specific geologicalconditions which are generally
thought to be connected with an enhanced biotic productivity in the
overlying watercolumn,[2,7,12,13] and nonoxidizing water environment,[1,4,8] or an integration of both.[3,5,6] Besides, it has been accepted
that no single process or model can explain OM accumulation in all
sedimentary environments owing to the complicated geological history
and that each sedimentary environment may mirror the effects of several
factors contributing to OM accumulation in the organic-rich sediments.[14]The upper Permian Dalong Formation is
not only regarded as an excellent
source rock but also as the target for shale gas exploration in the
Lower Yangtze region.[15−18] Existing studies have revealed that Dalong Formation black shale
has favorable conditions for shale oil and gas enrichment with high
abundances of totalorganic carbon (TOC), medium thermal maturity,
and high brittle mineralcontents.[16−19] Specially, shale oil and gas
discoveries have been obtained in the upper Permian strata from well
GD1, which was implemented by Nanjing Geological Survey Center of
China Geological Survey in 2016.[20] In spite
of these achievements, shale gas exploration in the Lower Yangtze
platform has not made an actual breakthrough by far, although it is
considered to possess a huge shale gas potential.[15−18] In such a system, the paleoenvironmentalconditions and OM accumulation during the black shale deposition play
crucial roles. However, previous studies of the Dalong Formation have
mainly focused on stratigraphy, reservoir characteristics, source
rock evaluation, and shale gas resource potential prediction,[15,17,19] and most of them are based on
outcrop samples, while the study of OM accumulation in such a setting
is quite scarce.[21] In addition, OM plays
a vital role in controlling the hydrocarbon generation potential,
pore structure, and adsorption capacity in organic-rich shale systems.[22,23] In order to adequately comprehend the Dalong Formation, controlling
factors and mechanisms of OM accumulation in such a circumstance must
be clarified and serve as a valid geologic foundation for shale gas
exploration in the Lower Yangtze region in the future.Elemental
geochemistry is the most extensively employed method
for quantitatively reconstructing the paleoenvironment.[14,24−27] Generally speaking, organic carbon, phosphorus (P), and biogenic
barium (Babio) are the popular proxies for qualitatively
evaluating the paleomarine productivity.[28−32] Several redox-sensitive elements (e.g., V, U, and
Ni) and their ratios (e.g., U/Th, V/Cr, Ni/Co, and V/(V + Ni)) have
been widely applied to interpret the paleoredox conditions over the
past couple of decades.[14,23,24,33−38] REE distribution patterns and ratios of (La/Yb)N, Th/U,
and Na/K are the important geochemical indices to qualitatively characterize
the sedimentary rate.[39−43]In this study, we present TOC, major element (ME), trace element
(TE), and rare earth element (REE) studies on the Dalong Formation
black shale samples from well GD1 in the western area of the Lower
Yangtze platform. Based on these data, paleoclimate, biotic productivity,
paleoredox conditions, and sedimentary rate are systematically characterized.
Then, controlling factors of OM enrichment in such a setting are comprehensively
analyzed by examining co-variations between TOCcontents and multiple
geochemical indicators. Finally, mechanisms and formation models of
OM accumulation for the Dalong Formation black shale in the Lower
Yangtze region are presented.
Geologic Setting and Well Description
The Lower Yangtze region, which covers an area of 36 × 104 km2, is tectonically located in the east of the
Yangtze Plate and is bounded by the Tanlu fault zone on the northwest,
the Qinling-Dabie mountain tectonic zone on the west, the Ganjiang
fault zone on the southwest, the Jiangshao fault zone on the south
and southeast, and the Yellow Sea and the East China Sea on the east.[17,44] It has undergone multistage complicated tectonic movements and brought
about forming a range of structures in the northeast-southwest direction
(Figure ). From north
to south, the Lower Yangtze region can be further divided into six
secondary structural units, namely, Jiaonan orogenic belt, Chuquan
Depression, Yanjiang Depression, southern Anhui-southern Jiangsu Depression,
Jiangnan uplift, and Qiantang Depression[18] (Figure ).
Figure 1
Location map
of the studied area showing the tectonic units in
the Lower Yangtze region and the location of the sampling well.
Location map
of the studied area showing the tectonic units in
the Lower Yangtze region and the location of the sampling well.Generally speaking, the Lower Yangtze region has
mainly experienced
three stages of evolution: the marine sedimentary period from Late
Sinian to Middle Triassic; the continental sedimentary period from
Late Triassic to Early Cretaceous; and the structural transformation
period from Late Cretaceous to Neocene.[44] It is noteworthy that marine-continental transitional facies strata
(Longtan Formation) were deposited during the Permian period. Vertically,
the Lower Yangtze area has a distinct double-layer structure, which
was separated by a regional unconformity between the Late Triassic
and Early Jurassic strata. Beneaththe interface, the strata are relatively
flat without the evident thrusting characteristics. However, above
the unconformity, the strata show obviously structural deformations
with an overturned fold.[44]The upper
Permian Dalong Formation and Longtan Formation in the
Lower Yangtze region have been considered as not merely high-quality
source rocks but as potential shale gas reservoirs.[18,19,44] The Dalong Formation black mudstone and
shale are widely distributed in the Lower Yangtze region and well-preserved
with a maximum thickness of 200 m. It is in conformable contact withthe underlying Longtan Formation and in parallel unconformity contact
withthe overlying Yinkeng Formation.[45] There are obvious lithological variations among the Longtan Formation,
Dalong Formation, and Yinkeng Formation. The Longtan Formation consists
of grayish black mudstone, sandstone, and limestone intercalated withthin coal seams deposited in a marine-continental transitional environment,
and the Yinkeng Formation predominantly consists of limestones developed
in a carbonate platform.The well GD1 is located in the southern
Anhui-southern Jiangsu
Depression (Figure ). The Dalong Formation of well GD1 is in the depth of 915.4–985.6
m, with a totalthickness of approximately 70 m, having experienced
a complete sea level rise and fall process during deposition (Figure ). Based on the regional
sea level fluctuations, Dalong Formation can be further subdivided
into two parts: the lower and middle Dalong Formation (section A)
consists of black siliceous shale and carbonaceous shale interbedded
withthin silty mudstone and siltstone laminae, exhibiting high TOCcontent and abundant pyrite, which is considered to be formed in deep-water
shelf to basin facies (Figure ); the upper Dalong Formation (section B) is mainly composed
of gray black siliceous shale and silty mudstone intercalated with
siltstone, exhibiting medium TOCcontent and abundant pyrite, which
is believed to be developed in shallow-water shelf facies (Figure ).
Figure 2
Stratigraphic column
of the Dalong Formation according to well
GD1.
Stratigraphic column
of the Dalong Formation according to well
GD1.
Results
TOC
TOCcontents
for the 33 rock samples are listed
in Table S1 and Figure . For well GD1, samples from section A exhibit
relatively high TOCcontents ranging from 1.19 to 6.45%, on an average
of 3.19%. Shale samples from section B show medium TOCcontents varying
from 1.18 to 4.90%, with an average of 2.09%, obviously lower than
that of section A. This phenomenon can be explained that OM is conducive
to be enriched when the regional sea level rises and tends to be depleted
when the regional sea level falls (Figure ).
Major Elements
The ME oxidecontents
of Dalong Formation
rock samples from well GD1 display unapparent differences between
section A and section B (Table S1). The
major chemicalcompositions are dominated by SiO2 (34.38–68.03%;
average, 54.60%), followed by Al2O3 (8.87–19.66%;
average, 14.18%), CaO (0.43–18.52%; average, 6.65%), Fe2O3 (1.93–6.74%; average, 4.46%), K2O (1.05–2.96%; average, 2.09%), MgO (1.13–4.95%; average,
1.77%), FeO (0.55–4.53%; average, 1.54%), and Na2O (0.71–2.44%, average, 1.13%). The remaining ME oxidecontents
show less than 1.0% and include TiO2 (0.20–0.63%;
average, 0.38%), P2O5 (0.05–0.77%; average,
0.15%), and MnO (0.02–0.11%; average, 0.05%). Generally speaking,
marine organic-rich sediments tend to be regarded as a mixture of
three kinds of oxides: SiO2 (quartz), Al2O3 (clay minerals), and CaO (carbonate minerals).[23]Figure illustratesthat the shale samples from section A and section
B are variably enriched in SiO2 and CaO relative to Al2O3, which is likely associated withthe stable
terrestrial detrital inputs.
Figure 3
SiO2–Al2O3–CaO ternary
diagram for the Dalong Formation shale samples from well GD1. Average
shale is shown as a black triangle.
SiO2–Al2O3–CaO ternary
diagram for the Dalong Formation shale samples from well GD1. Average
shale is shown as a black triangle.
Trace Elements
The selected TE concentrations of the
Dalong Formation shales from well GD1 are listed in Table S2. On average, the most abundant TEs in Dalong Formation
are V (378.0 ppm), Sr (353.5 ppm), Ba (280.0 ppm), Cr (119.1 ppm),
and Zr (113.0 ppm), followed by Ni (68.9 ppm) and Mo (20.3 ppm). The
TEs withconcentrations lower than 20 ppm include U (14.7 ppm), Th
(13.3 ppm), and Co (10.8 ppm) (Table S2). Particularly, the TE concentrations in Dalong Formation are different
between section A and section B. For example, shales from section
A display higher average concentrations of V, Ni, Mo, Ba, and U, whereas
somewhat lower contents of Cr, Co, and Ththan these corresponding
values of shales from section B (Table S2).The enrichment factor (EF) values can be used to characterize
the TE enrichment degree. For well GD1, the obviously enriched TEs
(EF > 1) incorporate Mo (EF = 9.80–44.65, mean 9.80), U
(EF
= 1.57–9.47, mean 4.77), V (EF = 1.62–5.56, mean 3.46),
Cr (EF = 0.81–3.02, mean 1.59), Sr (EF = 0.73–2.35,
mean 1.46), Th (EF = 0.68–1.82, mean 1.27), and Ni (EF = 0.60–2.06,
mean 1.23) (Table S3), being likely associated
withthe enrichment of OM or clay minerals,[31,46,47] which is different fromthe enrichment pattern
as V > Ni > Mo > Cr for redox-sensitive TMs in the Bakken
shales.[48] The depleted TEs (EF < 1)
mainly include
Zr (EF = 0.44–2.17, mean 0.85), Co (EF = 0.34–1.02,
mean 0.69), and Ba (EF = 0.31–1.47, mean 0.59) (Table S3). As shown in Figure , shale samples from section A exhibit higher
EF values for the majority of the TEs except for Cr, Co, and Th relative
to section B.
Figure 4
EF diagram of the selected TEs for the Dalong Formation
shale.
A horizontal line (EF = 1) emphasizing the enrichment or depletion
of an element.
EF diagram of the selected TEs for the Dalong Formation
shale.
A horizontal line (EF = 1) emphasizing the enrichment or depletion
of an element.
Rare Earth Elements
No pronounced differences are present
for REE concentrations and their associated parameters of the Dalong
Formation shales from section A and section B (Tables S4 and S5). The total REE concentrations (ΣREE)
are in the range of 87.24–288.94 ppm, with an average of 156.42
ppm, being slightly higher than that of the Upper ContinentalCrust
(UCC, 146.40 ppm[49]). However, the average
value of REE concentrations for the Dalong Formation shale is obviously
lower than that of the North American Shale Composite (NASC, 173.21
ppm[50]) and the Post-Archean Average Australian
Shale (PAAS, 184.77 ppm[49]), mirroring that
the ΣREE is influenced by the detrital influxes to some extent.[41,51] Here, the UCC was adopted to normalize the REEs.As shown
in the diagram of UCC-normalized REE distribution patterns (Figure ), the curves seem
to exhibit extremely uniform trends, probably demonstrating that the
REEs in the Dalong Formation shales from section A and section B have
originated from a similar source of terrestrial detrital inputs (provenance).[52] The REE distribution patterns are characterized
by relatively flat LREE (from La to Eu) and HREE (from Gd to Lu) (Figure ). The ratios of
LREE to HREE range from 5.40 to 10.58, with an average of 7.85 (Table S5), being slightly lower than that of
the UCC (9.54), suggesting a comparatively weak REE fractionation.
The Ce anomaly (δCe) and Eu anomaly (δEu), defined as
δCe = CeN/(LaN × PrN)1/2 and δEu = EuN/(SmN × GdN)1/2,[49] are in the range
of 0.74–0.99 and 0.65–1.24, with an average of 0.89
and 0.94 (Table S5), respectively, implying
weakly negative Ce and Eu anomalies. The (La/Yb)N ratios
vary from 0.58 to 1.04, with an average of 0.82.
Figure 5
UCC-normalized REE distribution
patterns of the Dalong Formation
shale samples from core GD1.
UCC-normalized REE distribution
patterns of the Dalong Formation
shale samples fromcore GD1.
Discussion
Paleoclimate
The chemical index of alteration (CIA)
was extensively applied to reconstruct the paleoclimatic conditions[53−56] and characterize the paleoweathering degree.[31,57,58] The CIA was put forward by Nesbitt and Young[59] and defined as followsIt needs to be emphasized that the
unit of ME oxides in the abovementioned expression is mole, and CaO*merely represents the CaO originated fromsilicate minerals.[59] In this case, it is essential to make a calibration
to the absolute CaOcontents for the existence of carbonate minerals
and apatite. In this work, CaOcontents were primarily calibrated
for phosphate by means of the measured P2O5contents,[60] namely,When the “remaining number of moles” is more
than
that of Na2O, the mole of CaO* was supposed to be equivalent
to that of Na2O. Otherwise, the mole of CaO was regarded
as that of CaO*.[60−62]Previous studies have elucidated that fine-grained
siliciclastic
rocks deposited in a cold and arid climate with weak chemical weathering
normally have CIAs in the range of 50–65 while those formed
in a warm and humid climate withmedium chemical weathering generally
have CIAs in the range of 65–85 and those deposited in a hot
and humid climate with strong chemical weathering commonly have CIAs
in the range of 85–100.[59] In this
study, the calculated CIAs of Dalong Formation shales vary from 56.25
to 79.25 (Table S5 and Figure ), with an average of 70.25,
being close to that of PAAS (CIA = 69.0, referred from Kasanzu et
al.[57]), mirroring a warm and humid paleoclimate
with weak to medium chemical weathering (Figure ). Although the paleoweathering tends to
lead to depletion in TE and REE to some extent,[63] the fresh samples from borehole and weak to medium chemical
weathering together suggest that paleoweathering seems to have little
effect on the obtained results and possible interpretation.
Figure 6
Ternary diagram
of molecular proportions Al2O3–(CaO*
+ Na2O)–K2O. Shown at
the left side is the CIA scale. The Dalong Formation shale samples
display slight chemical weathering to medium chemical weathering.
Post-Archean Average Australian shale (PAAS) is shown as a black pentagram.
Ternary diagram
of molecular proportions Al2O3–(CaO*
+ Na2O)–K2O. Shown at
the left side is the CIA scale. The Dalong Formation shale samples
display slight chemical weathering to medium chemical weathering.
Post-Archean Average Australian shale (PAAS) is shown as a black pentagram.Apart from CIA, the C-value [Σ(Fe
+ Mn +
Cr + Ni + V + Co)/Σ(Ca + Mg + Sr + Ba + K + Na)] is also regarded
as a useful and reliable proxy to surmise the paleoclimatic conditions.[64] Growing numbers of researchers[31,64,65] have concluded that C-values of 0–0.2, 0.2–0.4, 0.4–0.6, 0.6–0.8,
and 0.8–1.0 indicate arid, semiarid, semiarid-to-semihumid,
semihumid, and humid climate, respectively. In the present study,
the C-values for Dalong Formation shale samples vary
from 0.13 to 1.00, with an average of 0.46 (Table S5 and Figure ), likely deciphering a semiarid to semihumid paleoclimate. Besides,
no obvious differences are present for CIAs and C-values of the Dalong Formation shales from section A and section
B (Figure ).
Figure 7
Stratigraphic
distributions of TOC, productivity-related proxies
(P, P/Ti, Ba, and Ba/Ti), paleoredox indicators (EFU and
EFMo), sedimentary rate proxy ((La/Yb)N), and
paleoclimate indicators (CIA and C-value) in core
GD1. Dotted lines in boxes represent the averages.
Stratigraphic
distributions of TOC, productivity-related proxies
(P, P/Ti, Ba, and Ba/Ti), paleoredox indicators (EFU and
EFMo), sedimentary rate proxy ((La/Yb)N), and
paleoclimate indicators (CIA and C-value) in core
GD1. Dotted lines in boxes represent the averages.The aforementioned plaeoclimate proxies (CIA and C-value) together suggest that the Lower Yangtze region
was undergoing
a warm and semiarid-to-semihumid paleoclimate during the Late Permian
period. Furthermore, as shown in Figure , the vertical variations of CIA and C-value do not share a similar trend withTOC fluctuations,
demonstrating that the paleoclimate was not the dominant controlling
factor of OM accumulation in the Lower Yangtze area.
Biotic Productivity
The biotic productivity generally
plays a vital role in OM enrichment, which is closely related withthe abundant supply of nutrient elements such as P[28,32,39,66] and Ba.[24,29,30,67] In this work, these two elements are adopted to qualitatively estimate
the biotic productivity.Pvalues of the 33 rock samples from
GD1 well are mostly in the range of 300–700 ppm (except for
DL-2, DL-3, DL-5, DL-8, and DL-11; Table S5 and Figure ), which
is typical of average shales and shows no P enrichment. It is noteworthy
that P values of DL-2, DL-3, DL-8, and DL-11 samples are more than
1000 ppm, showing significant P enrichment. However, such an enrichment
may be a signal of short-term oxygenation event.[68] Conversely, the DL-5 sample has relatively lower P concentration
because anoxic bottom seawater or porewaters have triggered P recycling,
not owing to low primary productivity.[68] In general, OM and authigenic minerals probably play a dilutive
effect on P concentrations. In order to exclude the dilutive effect,
the P/Ti ratio has been proven as the reliable biotic productivity
proxies instead of the absolute P content because Ti is one of the
stable detrital elements.[49] For well GD1,
the P/Ti ratios of Dalong Formation shales are in the range of 0.10–1.51
(average 0.30; Table S5), which is above
that of PAAS (0.12; Taylor and Mclennan[49]), probably indicating a relatively high biotic productivity in the
Lower Yangtze region during the Late Permian period. Specially, the
average P/Ti ratio (0.35; Table S5) of
shale samples from section A is slightly higher than the corresponding
value (0.21; Table S5) of shale samples
from section B. This phenomenon can be explained in part by the sea-level
fluctuations, a higher average P/Ti ratio from section A was basically
compatible withthe rising sea level, during which the upwelling nutrient
fluxes have the potential to boost the biotic productivity. Moreover,
as presented in Figure , the patterns of vertical variations of the P/Ti ratio are somewhat
different fromTOC curves, mirroring that OM accumulation in Dalong
Formation strata in the Lower Yangtze region is not merely influenced
by the biotic productivity but also may be affected by the preservation
conditions (e.g., paleoredox condition and sedimentary rate) and other
factors.The Ba/Ti ratio is also a reliable geochemical proxy
used in analyzing
the fluctuations of biotic productivity in marine sediments. For well
GD1, the Ba/Ti ratios of Dalong Formation shales range from 0.06 to
0.30, with an average of 0.13 (Table S5), being close to that of PAAS (0.11; Taylor and Mclennan[49]) and thus indicating a medium biotic productivity.
This conclusion is not in accordance withthe scenario inferred from
P/Ti ratios as discussed above. Furthermore, as shown in Figure , Baconcentrations
of the investigated samples are uniformly in the range of 200–400
ppm, which are typical values for shales providing no indication of
elevated primary productivity. However, the productivity-related Ba
tends to undergo reductive dissolution in anoxic sediments, making
its preservation unlikely.[69] Accordingly,
we counsel caution in qualitatively evaluating the biotic productivity
in organic-rich sediments formed in an anoxic water environment by
means of Baconcentration.
Paleoredox Conditions
Paleoredox
conditions of the
watercolumn generally have a significant influence on OM accumulation.[1,4,8,11] The
paleoredox-sensitive indicators (e.g., U/Th, V/Cr, Ni/Co, and V/(V
+ Ni) ratios) have been widely employed for interpreting the paleoredox
conditions.[14,23,24,33,34,70,71] Notably, existing studies
have established the reference standards for U/Th (0.75, 1.25), V/Cr
(2.0, 4.25), Ni/Co (5.0, 7.0), and V/(V + Ni) (0.46, 0.6) ratios to
discriminate oxic, dysoxic (suboxic), and anoxic (reducing) grades.[25,33−35,72,73] However, the latest research achievements fromAlgeo and Liu[74] and Algeo and Li[75] demonstrated that it is impossible to set a strict proxy value for
each paleoredox threshold that can be applied to all sedimentary systems.
In other words, paleoredox threshold values determined on the basis
of one formation cannot be applied directly and uncritically to other
formations of different ages, depositionalbackgrounds, and dynamic
paleoredox conditions, as has been extensively done to date. More
importantly, Algeo and Liu[74] concluded
that trace-element EFs are particularly reliable proxies than others.
In this regard, the EFU and EFMo are adopted
to characterize the paleoredox conditions in the present study.As shown in Figure , the EFU and EFMo for section A of well GD1
are in the range of 3.09–9.47 (average 6.04) and 1.17–44.65
(average 11.19), being close to those corresponding values of Black
Sea[75] (10–30 and to ∼300,
respectively) and Saanich Inlet[75] (to ∼3
and to ∼80, respectively), indicating that the organic-rich
shales in the lower Dalong Formation were predominantly developed
under an anoxic condition and that a small portion was deposited in
a dysoxic water environment. Section B in the upper Dalong Formation
has the EFU and EFMo in the range of 1.57–3.29
(average 2.24) and 2.46–11.80 (average 7.01), being obviously
lower than those of section A and closer to those corresponding values
of California Margin (<2 and <6, respectively), elucidating
an oxic-to-dysoxic water environment.[75] Both of the conclusions are also supported by the cross plot of
EFU versus EFMo (Figure ), where samples from section A plot toward
the zone between the dysoxic end to the anoxic one of unrestricted
marine trend of Algeo and Tribovillard[27] and samples from section B plot in areas near the dysoxic end. Besides,
the cross plot of Mo versus TOCcontents shows a moderate to strong
water-mass restriction for well GD1 based on the comparison with four
modern marine systems (Figure ).
Figure 8
Cross plot of EFU versus EFMo, showing that
Dalong Formation shale samples from core GD1 mainly plot toward the
zone between the dysoxic end and the anoxic one (Base map adapted
with permission from ref (27). Copyright 2009 Elsevier.) The information of shale samples
offers no evidence for operation of a particulate shuttle. The diagonal
dashed lines represent Mo/U molar ratios of the seawater (Sw).
Figure 9
Cross plot of TOC vs Mo contents. Dotted lines represent
the regression
lines for four modern marine systems (Black Sea, Framvaren Fjord,
Cariaco Basin, and Saanich Inlet), mirroring moderate to strong degrees
of hydrographic restriction (Adapted with permission from ref (76). Copyright 2006 John Wiley
and Sons.)
Cross plot of EFU versus EFMo, showing that
Dalong Formation shale samples fromcore GD1 mainly plot toward the
zone between the dysoxic end and the anoxic one (Base map adapted
with permission from ref (27). Copyright 2009 Elsevier.) The information of shale samples
offers no evidence for operation of a particulate shuttle. The diagonal
dashed lines represent Mo/U molar ratios of the seawater (Sw).Cross plot of TOC vs Mo contents. Dotted lines represent
the regression
lines for four modern marine systems (Black Sea, Framvaren Fjord,
CariacoBasin, and Saanich Inlet), mirroring moderate to strong degrees
of hydrographic restriction (Adapted with permission from ref (76). Copyright 2006 John Wiley
and Sons.)Furthermore, cross plots of TOCcontents versus EFU and
EFMo show a complicated correlation (Figure a,b). For section A, EFU and EFMo show positive correlations withTOCcontents
withthe fitting coefficient R2 = 0.31
and 0.67, respectively, which demonstratesthat the anoxic bottomwater environment played a critical role in OM accumulation in the
lower Dalong interval. However, there are weakly positive co-variations
between TOCcontents and EFU and EFMo for section
B withthe fitting coefficient R2 = 0.48 and 0.25, respectively,
deciphering that the paleoredox condition of the watercolumn played
a less important role in OM accumulation in section B relative to
section A.
Figure 10
Correlations between TOC contents and paleoredox indicators
(EFU and EFMo), productivity proxy (P/Ti), and
sedimentary
rate proxy (La/Yb)N. (a) TOC vs EFU; (b) TOC
vs EFMo; (c) TOC vs P/Ti; and (d) TOC vs (La/Yb)N.
Correlations between TOCcontents and paleoredox indicators
(EFU and EFMo), productivity proxy (P/Ti), and
sedimentary
rate proxy (La/Yb)N. (a) TOC vs EFU; (b) TOC
vs EFMo; (c) TOC vs P/Ti; and (d) TOC vs (La/Yb)N.
Sedimentary Rate
The sedimentary rate also has a significant
effect on OM enrichment.[5,41,71,77] REE distribution patterns and
(La/Yb)N ratios have been successfully employed for qualitatively
evaluating the sedimentary rate.[40,41] Generally,
a high sedimentary rate can lead to a weak REE fractionation because
the duration between REEs and clay minerals is reduced[78,79] and thus results in the (La/Yb)N ratio close to 1 (the
subscript “N” represents the normalization to UCC in
this study).[40] As shown in Figure , REE distribution patterns
for the Dalong Formation shales from section A and section B are relatively
flat, reflecting that the sedimentary rate is comparatively stable
during the Dalong Formation shale deposition in the Lower Yangtze
region. Additionally, the (La/Yb)N ratios of all 33 rock
samples vary from 0.58 to 1.04, with an average of 0.82 (Table S5 and Figure ), mirroring a high sedimentary rate. Specially,
the (La/Yb)N ratios for section B are in the range of 0.70–0.98
(average, 0.86), being slightly higher than those of section A (0.58–1.04;
average, 0.79; Table S5). Besides, the
Th/U ratio can also be used as an indicator of the sedimentary rate.[43] In general, higher values of Th/U indicate a
higher sedimentary rate. As shown in Table S2, Th/U ratios for section B are in the range of 1.14–2.88
(average 2.09), being obviously higher than those corresponding values
of section A (0.46–1.02, average 0.71). Both of the (La/Yb)N and Th/U ratios imply that the sedimentary rate during shale
deposition in section B was somewhat higher than that of section A.Furthermore, as shown in Figure d, there are clearly negative co-variations between
TOCcontents and (La/Yb)N ratios for section B, demonstrating
that the sedimentary rate plays a significant role in OM accumulation
in the upper Dalong Formation. In other words, the OM in section B
has experienced a short residence time in the bacterial decomposition
zone, which may be favorable for OM preservation in an oxidizing water
environment. However, there are no obvious correlations between TOCcontents and (La/Yb)N ratios for section A (Figure d), suggesting that the sedimentary
rate is not a main controlling factor on OM accumulation during the
organic-rich shale deposition in the lower Dalong Formation.
Controlling
Factors of OM Accumulation
As discussed
above, the Dalong Formation shale in the Lower Yangtze region was
deposited in a complex paleoenvironment with moderate to strong water-mass
restriction, which was mainly characterized by warm and semiarid–semihumid
paleoclimate, relatively high biotic productivity, and a relatively
high sedimentary rate. Moreover, the paleoredox conditions of the
watercolumn during shale deposition have experienced a transition
from a reducing environment in section A to an oxidizing environment
in section B. All these factors controlling OM accumulation are evaluated
by examining the correlations between TOCcontents and the aforementioned
geochemical indicators.For section A, TOCcontents show clear
co-variations withpaleoredox indicators (e.g., R2 = 0.67 in the TOC-EFMo diagram; Figure b) and weak or
no obvious correlations withthe biotic productivity proxy (Figure c), paleoclimate
proxies (Figure ),
and sedimentary rate proxy (Figure d), probably reflecting that the paleoredox conditions
are the dominant controlling factors of OM accumulation in the lower
Dalong interval in the Lower Yangtze region. Consequently, OM accumulation
in section A can be explained as a “preservation model”.[3,5,6] Similarly, for section B, TOCcontents exhibit comparatively good co-variations withthe biotic
productivity proxy (e.g., R2 = 0.73 in
the TOC-P/Ti diagram; Figure c) and sedimentary rate proxy (e.g., R2 = 0.71 in the TOC-(La/Yb)N diagram; Figure d), weak correlations
withthe paleoredox indicators (e.g., R2 = 0.48 in the TOC-EFU diagram; Figure a), and no correlations withthe paleoclimate
proxies (Figure ),
demonstrating that the biotic productivity and preservation conditions
(paleoredox conditions and sedimentary rate) together play the vital
roles in OM accumulation in the upper Dalong Formation in the Lower
Yangtze region. Therefore, OM accumulation in section B can be explained
as an integration of the “productivity model”[2,7,12,13] and “preservation model”,[3,5,6] named “integrated model” here.
This model can be interpreted as follows: the formation of Dalong
Formation shale in the Lower Yangtze region is not determined by a
single factor but is the result of the mutualconfiguration and coupling
of multiple factors such as paleoclimate, paleoredox, biotic productivity,
and sedimentary rate. All these factors would directly or indirectly
affect the supply or preservation of OM.
Mechanisms and Formation
Models of OM Accumulation
Based on the regional sea level
fluctuations, Dalong Formation can
be divided roughly into two parts in the evolution of the paleoenvironment
(Figure ). During
the deposition of section A, the Lower Yangtze region was deposited
in a reducing deep-water open marine environment, which is favorable
for OM preservation. Meanwhile, the regional sea level rise could
have carried the nutritious materials from bottomwaters to surface
waters, accelerating the blooms of algae, bacteria, and phytoplankton,
and thus enhanced the biotic productivity. Moreover, the Lower Yangtze
region was under a warm and semiarid–semihumid paleoclimate
during this period, which was generally beneficial to boosting the
biotic productivity. Greater biotic productivity and an anoxic water
environment could together create abundant OM. On the basis of these
analyses, a sketched diagram of the “preservation model”
for OM accumulation in the lower and middle Dalong Formation in the
Lower Yangtze region is established (Figure a).
Figure 11
Sketched diagram of the “preservation
model” (a)
and “integrated model” (b) for OM accumulation in the
upper Permian Dalong Formation shale in the Lower Yangtze region.
Sketched diagram of the “preservation
model” (a)
and “integrated model” (b) for OM accumulation in the
upper Permian Dalong Formation shale in the Lower Yangtze region.During the deposition of section B, the Lower Yangtze
region was
accompanied by a well-oxygenated environment owing to the falling
sea level. The warm and semiarid–semihumid paleoclimate in
the Lower Yangtze region during this period is conducive to accelerating
the degree of chemical weathering of the parent rock and increasing
the input of nutrients to the water body and promoting the blooms
of organisms such as algae and bacteria, which can directly contribute
to enhancing the primary productivity. On the one hand, greater biotic
productivity increases the sinking flux of organic carbon, which intensifies
respiratory oxygenconsumption in watercolumns, thus creating a positive
feedback loop.[9,80] On the other hand, a higher sedimentary
rate can greatly shorten OM exposure time in the degradation region
of aerobic bacteria and thereby reduce OM degradation under an oxidizing
water environment.[41,77] All these pieces of information
confirmed that in spite of the oxidizing watercolumn, TOCcontents
in the upper Dalong Formation are not necessarily lower as observed
in Table S1 because the enhanced biotic
productivity and a higher sedimentary rate could together create abundant
OM. According to these analyses, a sketched diagram of the “integrated
model” for OM accumulation in the upper Dalong Formation in
the Lower Yangtze region is proposed (Figure b).
Conclusions
Based
on our comprehensive analyses of TOCcontents and geochemical
indicators of the upper Permian Dalong Formation black shales from
GD1 well in the Lower Yangtze region, the following conclusions can
be obtained:The Dalong Formation shale in the
Lower Yangtze region was deposited in a complex paleoenvironment with
moderate to strong water-mass restriction, which was mainly characterized
by warm and semiarid–semihumid paleoclimate, relatively high
biotic productivity, and a comparatively high sedimentary rate. Besides,
the paleoredox conditions of the watercolumn during shale deposition
have experienced a transition from a reducing environment in the lower
Dalong interval (section A) to an oxidizing environment in the upper
part (section B).The
formation of Dalong Formation
organic-rich shale in the Lower Yangtze region is not determined by
a single factor but is the result of the mutualconfiguration and
coupling of multiple factors such as paleoclimate, paleoredox, biotic
productivity, and sedimentary rate. All these factors would directly
or indirectly affect the supply or preservation of OM.Two major formation models for OM
accumulation are proposed. The “preservation model”
for OM accumulation in section A emphasizes that the reducing deep-water
environment, which was mainly caused by the regional sea level rise,
is favorable for OM preservation. The “integrated model”
for OM accumulation in section B stresses that the relatively high
biotic productivity accelerates respiratory oxygenconsumption in
the watercolumn and a higher sedimentary rate can significantly reduce
OM exposure time in the degradation region of aerobic bacteria, both
of which cause OM accumulation in an oxidizing water environment.
Samples and Methods
Samples
A total
of 33 rock samples at a depth of 917–984
m were collected from well GD1 using the sampling interval of 1–3
m for the analysis of TOC and elemental geochemistry. Concretely speaking,
there were 22 rock samples (DL-1 to DL-22) collected from section
A, and the remaining 11 samples (DL-23 to DL-33) were taken from section
B. All samples were stored in sample sacks to prevent externalcontamination. Table S1 and Figure show more information of these target samples,
mainly involving lithology, depth, and sample number.
Experimental
Methods
Prior to analysis, all the target
samples were initially washed and dried and then were crushed and
ground into powder (less than 200 meshes) in an agate mortar for TOC,
ME, TE, and REE measurement. All these experiments in this study were
performed on whole-rock powdered samples and tested at the Beijing
Research Institute of Uranium Geology, China.For TOC analysis,
aliquots (200 mg) of powdered samples were first processed with dilute
hydrochloric acid (HCl) at 60 ± 5 °C for 24 h to dissolve
the inorganic carbon (carbonate minerals) and then rinsed repeatedly
with distillated water to remove the HCl. Subsequently, the samples
were desiccated several hours at 60–80 °C and whereafter
analyzed using a LECO CS-400 analyzer. The analytical precision was
better than 0.1%.For ME analysis, samples (powder) were first
heated to 105 °C
to take out the adsorbed water and further baked at 920 °C to
remove OMcompletely. Afterward, the ashed powders and the mixtures
of Li2B4O7 and BLiO2 were
fused at 1150 °C into a glass disc. MEs were measured on the
fused glass disc withthe help of an X-ray fluorescence spectrometer.
The analytical precision for MEs was better than 5%. The detailed
experimental procedure for ME analysis was performed by following
Cao et al.[41]For TE and REE analysis,
the powdered samples were primarily digested
using the mixed acids (HF/HNO3/HClO4 = 1:1:3)
for 12–24 h at 200 °C in a pressure-tight Teflon bomb.
Then, the resulting liquid was measured on an inductively coupled
plasma–mass spectrometry (ICP–MS). The detailed experimental
procedure was performed by following Liu et al.[81] The analytical precision for TEs and REEs was better than
5%.
Proxy Calculations
To analyze the chemicalcompositions
of the black shales, the enrichment factor (EF) has been widely applied
to characterize the enrichment degree of each element or its oxide.[23,41,82] EF is calculated by normalizing an element or its oxide to Al, which
is regarded as one of the stable proxies of the terrestrial detrital
influxes, and afterward comparing these ratios to their corresponding
values of a standard shale, such as Average Shale or PAAS.[14,23,31,82] Here, Average Shale is used as the standard shale, so EF is defined as shown below/where x represents the concentration
of an element or its oxide. The ratio in the numerator is for the
studied samples, whereas that in the denominator is for the Average
Shale (data from Wedepohl[83]). When EF > 1, the sample is relatively enriched
in
the element or its oxide relative to Average Shale, while EF < 1 indicates depletion.[25]