Profile
International Journal of Earth & Environmental Sciences Volume 7 (2022), Article ID 7:IJEES-192, 14 pages
https://doi.org/10.15344/2456-351X/2022/192
Original Article
Special Issue: Sedimentary Environments and Facies
Geochemical Characteristics of Different Salinized Lacustrine Shales and the Evaluation of Shale Oil Potential: A Case from Bohai Bay Basin

Di Chen*, Fujie Jiang*, Min Li, Zhi Xu, Yuanyuan Chen, Yang Liu and Lina Huo

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Dr. Fujie Jiang, State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; E-mail: jfjhtb@163.com@163.com
Dr. Di Chen, State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; E-mail: cd18801323769@163.com
15 December 2021; 15 January 2022; 17 January 2022
Chen D, Jiang F, Li M, Xu Z, Chen Y, et al. (2022) Geochemical Characteristics of Different Salinized Lacustrine Shales and the Evaluation of Shale Oil Potential: A Case from Bohai Bay Basin. Int J Earth Environ Sci 7: 192 doi: https://doi.org/10.15344/2456-351X/2022/192
This work was funded by the General program of National Natural Science Foundation of China (41872128), National Natural Science Foundation of China (Grant number 42102145), Science Foundation of China University of Petroleum, Beijing (Grant number 2462020BJRC005) and the AAPG Foundation Grants-in-Aid program (14545976 and 13231).

Abstract

Shale oil exploration is a hot topic of global oil and gas exploration. China has great potential for shale oil resources. At present, the discovered shale oil resources in China generally exist in lacustrine shale sediments with salt interlayer. The geochemical characteristics of shales formed in salt water environment (saline-shales) and shales formed in fresh water environment (freshwater-shales) is vital for the shale oil exploration in China, and is useful for the evaluation of hydrocarbon potential in saline sediments.

The s saline-shales have higher organic matters enrichments than the freshwater-shales. Meanwhile, the hydrocarbon potential in freshwater-shales is higher, while saline-shales have higher shale oil potential in the saline-shales. The high thermal conductivity of salt sediments facilitate the hydrocarbon generation. The organic matters in freshwater-shales are mainly I/II1 types and dominated by sapropelic substance, dominantly origin from the aquatic organism. While, the organic matters in saline-sahles are dominated sapropelinite and liptinite with II1/II2 types, which derive from the mix source of aquatic algae and terrestrial higher plants. The biomarkers shows that the organic matters in saline-shales deposited under strong reducing environment, while freshwater-shales were under generally reductive to weak oxidation environment. The depositional environment of shale sediments was affected by the climate. The Nanpu depression had higher the mean annual temperature (MAT) and mean annual precipitation (MAP) than Dongpu depression during middle Eocene. The warm and humid climate in Nanpu depression facilitated the weathering of parent intermediate igneous rocks, and led to the runoff and enrichment of elements during middle Eocene. The cooler and drier condition Dongpu depression led more weathering of felsic igneous provenance. The difference of provenance between Nanpu and Dongpu depression mainly were affected by the tectonic background. The Nanpu depression had active continental margin tectonic setting, and Dongpu depression was occanic island margin tectonic setting during middle Eocene.


1. Introduction

In recent years, international crude oil consumption is increasing. Especially in China, the dependence on foreign crude oil has exceeded 70% in recent years. Therefore, it is very important to increase domestic crude oil exploration. With the in-depth exploration in recent years, China's shale oil resources show great resource potential. With the development of drilling and completion technologies, such as horizontal drilling and hydraulic fracturing, China's shale oil exploration continues to achieve breakthroughs. In China, shale oil has also been discovered in terrestrial lake basins, including Eocene Qianjiang shales in Qianjiang Depression, Eocene Shahejie shales in Zhanhua Depression, and Eocene Hetaoyuan shales, among other locations [1,2]. The terrestrial shale reservoir for shale oil production layers in China share a notable characteristic that the terrestrial sediments is accompanied by interbedded salt rocks, as observed particularly in Eocene Shahejie shales in Dongpu Depression of the Bohai Bay Basin, east China [3]. Meanwhile, shale formed in freshwater environment also contains huge shale oil resources, but no major breakthrough has been made. At present, there is a lack of systematic comparative study on the organic geochemical characteristics of shale formed in saline sedimentary environment and freshwater environment, as well as the formation paleoenvironment of these shale sediments. Such comparison is helpful to a deeper understanding of the impact of saline sediments on the hydrocarbon generation potential of organic matter in shale. At the same time, it is also very helpful for the deep understanding of the formation mechanism of shale and the enrichment mechanism of organic matter in shale.

Compared with shales deposited in freshwater basins, saline lacustrine shales are more favorable for hydrocarbon generation, accumulation and preservation, and earlier hydrocarbon generation-expulsion [4-8]. Previous studies show that, salt formation is closely associated with the paleoenvironment in various aspects, such as paleosalinity, paleoredox conditions, occlusive-open system, and hydrothermal [9,10,6,7]. Shale and mudstone reservoirs with interbedded salt deposited under low energy environmental settings, often underwent complex paleoenvironmental changes, which are more sensitive to high-frequency climate changes down to seasonal scales [11-13]. Not only had the influence on lithological facies and mineral composition, the variations of paleoenvironment also notably the abundance and types of organic matter, and the expulsion efficiency of hydrocarbon from the derivation and preservation conditions. The abundance of organic matter is mainly attributed to paleoproductivity, redox conditions, and sedimentation rate, among others. Climate controls the freshwater inflow that influences the accommodation space of paleolakes and land plant-derived organic matter input [14,15]. Organic matter is oxygenated and dissipated in oxic water, whereas it is conserved and enriched under anoxic conditions. Thus, an anoxic environment is beneficial to the accumulation of organic matter and results in high productivity. On the other hand, organic matter primarily originates from lower hydrobiont organisms and terrigenous organic matter; the former prefers to generate crude oil, and the latter tends to generate gas. The types of palaeobios varing in fresh, brackish, and saline water, also affected differences in types of organic matter [16-22].

This study try to analyze the difference of organic geochemical characteristics of shales formed in salt water environment (saline-shales) and shales formed in fresh water environment (freshwater-shales), and try to better understanding the mechanism of enrichment of organic matter. The shale sediments of third member of Shahejie Formation (Es3 shales) in the Bohai Bay Basin will be analyzed in this study. Es3 shales are stably distributed in the whole Bohai Bay basin, and are important hydrocarbon source rocks. The different sub-basins of Bohai Bay Basin have different saline depositional environments during Es3 shales deposition. The south Dongpu depression is typical saline environment, and formed thick salt interlayer in Es3 shales (Dongpu Es3 shales; [23]). While, the north Nanpu depression is freshwater depositional environment with little salt sediments (Nanpu Es3 shales, [24]). This study compares the organic geochemical characteristics and shale oil potential of Nanpu and Dongpu Es3 shales, and tries to better understand the effect of salt sediments on the process of organic matter transferring to hydrocarbon. In addition, this study will also contrast the formation environment of different saline shale sediments, which is benefit for the deeper understanding of mechanism of enrichment of organic matter in different saline environments.

2. Geological Setting

The Bohai Bay Basin, located between the Tanlu and Cangdong faults, is one of the most important oil and gas basin in Eastern China (Figure 1a, [25,26]). The basin contains 15 major sags including Bozhong, Huanghekou, Qikou, Nanpu, Liaozhong, Liaoxi, and Laizhouwan sags, and 16 uplifts including the Bonan, Shijiutuo, Liaoxi, and Shaleitianuplifts [27]. The Nanpu and Dongpu depressions are two important oil-bearing sub-tectonic belts in the north and south of Bohaibay Bay Basin, and are deeper studied in this study. The Bohai Bay Basin experienced a crystal basement formation stage from the Archean to the Paleoproterozoic, a platform cover deposition stage from the Mesoproterozoic to the Triassic, and a continental rift stage from the Mesozoic to the Cenozoic (Figure 1, [28-31]). The rifting stage includes four substages: early synrift substage, late synrift substage during, the first thermal subsidence substage and renewed rifting substage. The postrifting thermal subsidence stage includes two substages: (1) a second thermal subsidence substage during 24.6~5.1 Ma and (2) a neotectonic activity substage from 5.1 Ma to present.

figure 1
Figure 1: Regional location of the Nanpu (b) and Dongpu (c) depressions in the Bohai Bay Basin (a) (modified after [40,23]).

The Cenozoic of Bohai Bay Basin deposited thick sediments, including Paleogene, Neogene, and Quaternary (Figure 2). The main formations contains Paleogene Kongdian (Ek), Shahejie (including Es1, Es2, Es3, and Es4) and Dongying (including Ed1, Ed2, and Ed3) Formations, the Neogene Guantao (N1g) and Minghuazhen (N1-2 m) Formations, and the Quaternary Pingyuan Formation (Qp, Figure 2) from the bottom to the top. Four sets of source rocks developed in the Bohai Sea area: (1) Es3, (2) Es1-2, (3) Ed3, and (4) Ed2 [32-34] (Figure 2). The Es3 set is oldest and buried the deepest; the base of the unit in the Bozhong sag is at a depth of more than 8000 m, and the depth exceeds 3000 m in most of the study area. The source rocks of Es3, which are very thick, represent lacustrine sedimentary facies.

figure 2
Figure 2: Stratigraphic column of the Bohai Bay Basin (modified form [27]).

The Shahejie Formation (Es) can be divided into four members with distinct lithologies [35,36] which are abbreviated as Es1, Es2, Es3, and Es4. The Es3 set is oldest and buried the deepest; the base of the unit in the Bozhong sag is at a depth of more than 8000 m, and the depth exceeds 3000 m in most of the study area. Es3 has been regarded as one of the most important resource rocks of Bohai Bay Basin [37,38], and have contributed plenty of oil and gas resources, where shale oil have been discovered since 2010 in many sub-tectonic belts. The main lithologies of Es3 are mudstone and dark gray mudstone [39]. While, there are extensive salt and and gypsum interbedding within the shale sediments in many depressions such as Dongpu and Dongying depressions. However, the other depressions are typical shale sediments without salt sediments, and the Nanpu depression is typical freshwater sediments in Es3 Formation.

3. Sampling and Method

In this study, petrogeochemical method has been used to reconstruct the paleoenvironment. The TOC tests, rock pyrolysis and saturated hydrocarbon gas chromatin were used to obtain the research data. All experiments were carried out in China University of Petroleum (Beijing). To reconstruct the paleoenvironment, the samples were dried and ground to a powder for elemental analyses. The major elements were tested by X-ray fluorescence spectroscopy (XRF) using an Axios-mAX XRF Spectrometer. The results were presented as the weight percent of major elements. The chemical analysis results for the major elements have precisions better than 5% based on duplicate and standard analyses.

The TOC contents were measured using a CS-600 carbon analyzer. Before the experiment, one gram samples were ground and remove carbonate carbon. After that, dry samples were burned in a carbon analyzer to determine the TOC content. The results are presented in weight percent (wt. %).The powdered samples were further carried out with rock pyrolysis using a Rock-Eval 6 instrument. The pyrolysis results are reported with free hydrocarbon (S1; mg HC/g rock), cracked hydrocarbons (S2; mg HC/g rock) and the temperature at which the maximum rate of pyrolysis yield occurred (Tmax; °C).The bitumen “A” in twenty-eight samples was extracted with chloroform using a YS multifunction automatic extraction meter. The chloroform extraction results are expressed in weight percent (wt. %).

The saturated hydrocarbon fraction was determined by gas chromatography (GC) and GC-mass spectrometry (GC-MS) in this study. GC-MS was performed with an Agilent 7890-5975 coupled gas chromatograph-mass spectrometer, with a fused silica column (60 m×0.25 mm×0.25 μm) with injector and detector temperatures of 300°C. The biomarker compounds were identified through comparison of retention time in their mass spectra and previous works [41]. The ratios of biomarkers in the appropriate molecular ion chromatograms were calculated by comparing peak areas.

4. Results and Discussion

4.1 Geochemical characteristics and hydrocarbon potential

The hydrocarbon potential evaluation is significant for the exploration of shale oil resources. Geochemical method is one of the important technologies to evaluate the potential of shale oil. The free hydrocarbon (S1) and chloroform asphalt “A” are two important indexes that can directly reflect the residual hydrocarbon content in source rocks [42-44]. Total organic carbon (TOC) does not directly reflect the hydrocarbon potential, but it is useful to describe the quality of source rocks [45,46]. TOC contents of the Nanpu Es3 shales ranges from 0.8 wt. % to 8.8 wt. %, averaging 2.7 wt. %, and the TOC contents of the Dongpu Es3 shales varies 0.1-5.7 wt. % (avg. 1.3 wt. %) (Figure 3a). According to the evaluation and classification of organic matter abundance, the quality of source rock can be subdivided into “poor” (TOC <0.5 wt. %), “fair” (TOC of 0.5-1.0 wt. %), “good” (TOC of 1.0-2.0 wt. %), “very good” (TOC of 2.0-4.0 wt. %) and “excellent” (TOC >4.0 wt. %) [45,46]. As shown in Figure 3a, the Nanpu Es3 shales are “good” and “very good”, and the Dongpu Es3 shales locate at “fair” and “good” categories. These results indicate that the Nanpu Es3 shales have higher degree of organic matter enrichment than Dongpu Es3 shales.

figure 3
Figure 3: The comparison of the hydrocarbon potential of Es3 shales in the Nanpu and Dongpu depressions.

The S1 content of Dongpu Es3 shales varies from 0.01 to 5.3 mg/g, with a mean of 0.8 mg/g, and the pyrolysis hydrocarbon (S2) value varies greatly from 0.01 to 22.9 mg/g, averaging 2.8 mg/g. The S1+S2 (GP) values of the Dongpu Es3 shales range from 0.03 to 28.5 mg HC/g rock, averaging 3.6 mg HC/g rock. These values are lower than those of Nanpu Es3 shales. The Nanpu Es3 shales have the relatively high S1 content of 0.1-6.2 mg/g (avg. 1.4 mg/g) and S2 values of 0.9- 72.5 mg/g (avg. 13.3 mg/g). The GP values of Nanpu Es3 shales are high ranging 1.1-75.7 HC/g rock (avg. 16.7 HC/g rock). The GP has obvious positive relations with TOC (Figure 3a), suggesting higher hydrocarbon generation capacity of Nanpu Es3 shales than that of Dongpu Es3 shales. This finding is in agreement with the results of the hydrogen index (HI) vs. TOC diagrams (Figure 4a and 4b, [47]). The HI value of the Nanpu Es3 shales ranges from 120.9 to 1986.8 mg/g (avg. 405.1 mg/g) and is higher than that of Dongpu Es3 shales (1.1-403.6 mg/g, avg. 164.3 mg/g), indicating that the Nanpu Es3 shales have a higher hydrocarbon generation potential than the Dongpu Es3 shales. The evaluation of shale oil could also be analyzed by the diagram of the shale oil accumulation index (OAI), S1/TOC, and chloroform bitumen “A” content [44]. The OAI, S1/TOC and chloroform bitumen “A” content of Nanpu and Dongpu Es3 shales are shown at Figure 3c, Figure 3d and Figure 3e.

figure 4
Figure 4: Plots of hydrogen index (HI) versus Tmax (a) and kerogen macerals ternary diagram (b) for Es3 shales in the Nanpu and Dongpu depressions.

According to the previous studies, S1/TOC > 1 mg HC/g rock seems likely be regarded as a window for the show of considerable free oil in the sample for the conventional and unconventional hydrocarbon exploration [48,49]. For Dongpu Es3 shales, the value of S1/TOC ranges from 0.01 to 1.7 mg HC/g rock (avg. 0.5 mg HC/g rock), which is higher than that in Nanpu Es3 shales (0.1-1.3; avg. 0.4). The chloroform bitumen “A” content of Dongpu Es3 shales ranges 0.2 wt. % to 0.8 wt. % (avg. 0.4 wt. %) which is also higher than that in Nanpu Es3 shales (0.01-0.8 wt. %, avg. 0.2). At the same values of HI and TOC, the OAI values of Dongpu Es3 shales are higher than that of Nanpu Es3 shales. According to the above analysis, it can be seen that the Nanpu Es3 shales have higher hydrocarbon potential than Dongpu Es3 shales, while the occurrence of shale oil in Dongpu Es3 shales is better than than in Nanpu Es3 shales. These may be caused by the organic matter type and geothermal gradient. In addition, the existence of salt will have an important impact on the evolution of organic matter.

4.2 The types and maturity of organic matter

The organic matter types could be preliminarily identified by HI versus Tmax diagram (Figure 4a). The organic matters in Nanpu Es3 shales are dominated by type I/II1, and those in Dongpu Es3 shales mainly are II2/III types. The results of rock pyrolysis analysis are affected by the thermal evolution; therefore, other indicators, such as maceral and biomarkers, are needed to comprehensively determine the type and organic matter source [50]. The composition of organic macerals has been widely used to describe the types of kerogen and evaluate the potential of hydrocarbon generation in source rocks based on the origin of the organic macerals [51-54]. The assemblage of maceral groups in the Es3 shales can be shown in a ternary diagram (Figure 4b) with sapropelinite, liptinite, and huminite (vitrinite and inertinite) as the three vertices. The organic matters in Nanpu Es3 shales main contain sapropelinite and little vitrinite and inertinite, without liptinite. While, the organic macerals in Dongpu Es3 shales are dominated by sapropelinite and liptinite, but the vitrinite and inertinite are low (0-25%). These results show that the source of organic matter in Nanpu and Dongpu Es3 shales are different. The organic matters in Nanpu Es3 shales are mainly sapropel input, while those in Dongpu Es3 shales are the mix of sapropel and humic debris input.

Vitrinite reflectance (Ro) is another parameter that helps determine the temperature history of the sedimentary basins and is also used to verify the Tmax [55,56]. Ro values can also be calculated by Tmax (EVRo) as follows: %EVRo= 0.0180×Tmax-7.16 [57]. The %EVRo volues of Dongpu Es3 shales range from 0.9 to 3.0% with mean value of 0.9%, which are higher than those of Nanpu Es3 shales (0.6-0.9%, avg. 0.8%). The higher thermal maturity of Es3 shales in Dongpu depression may be caused by the salt sediments. The salt sediments have higher thermal conductivity than shale sediments, which lead the organic matters preference to transfer to hydrocarbon at same conditions and get higher thermal maturity.

4.3 The source and preservation of organic matter

Pyrolytic parameters and organic macerals show that the enrichment and types of organic matters in Dongpu and Nanpu depressions are obviously different. The source and preservation of organic matters in Es3 shales need be further analyzed. One important method to analyze the source and preservation conditions of organic matters is the biomarker analysis.

Many sterane compounds could be tested in Es3 shales of Bohai Bay Basin, which could be discerned in m/z 217 GC-MS chromatogram. The sterane compounds of saturated hydrocarbon extracts are characterized by a predominance of C27-C30 steranes. Sterane homologues (C27-C28-C29) could reflect the marine eukaryotic and terrestrial organic input into sedimentary OM [58]. Regular steranes are derived from sterols such as the constituents of the cell membranes in all eukaryote [59]. C27 sterols are regarded as being derived from algae, while land plants are proposed as the producers of C29 sterols [60]. C28 steranes are more associated with various sources [61,62]. In this study, all the shale samples contain low C28 sterols. The content of C27 sterols (23.3%~51.3%, avg. 34.8%) is lower than that of C29 sterols (33.5%~64.1%, avg. 47.1%) in Nanpu Es3 shales. C27 sterols (17.1-64.8%) in Dongpu Es3 shales higher than C29 sterols (14.8-51.7%). These results imply more aquatic organisms source Dongpu depression than Nanpu depression which have more plant origin (Figure 5).

figure 5
Figure 5: Ternary diagram of C27-C28-C29 of Es3 shales in the Nanpu and Dongpu depressions.

Index C27/C29 can reflect the relative contribution of aquatic algae and terrestrial higher plants in the source of organic matter more obvious [58], and the values of Es3 shales are shown in Figure 6. Most values of C27 / C29 in the Dongpu Es3 shalesare greater than 1, implying the large contribution of aquatic algae and low contribution of terrestrial higher plants. The C27 / C29 values in Nanpu Es3 shalesare lower than 1, indicating that the more source of organic matter from terrestrial higher plants.

figure 6
Figure 6: The distribution of C27/C29 of Es3 shales in the Nanpu and Dongpu depressions.

These phenomena indicate that the Es3 shales are typical of sediments deposited in lacustrine environment with mixed OM input of terrestrial higher plants material and aquatic algae (phytoplankton, zooplankton) [63]. While, the saline distribution effects the source of organic matter. The high C27 content in Dongpu Es3 shales implies the aquatic algae origin in the saline environment. While, most organic of orgmic matters in Es3 shales is mix of higher plants and aquatic organisms. Meanwhile, the interpretation of C29-sterols is controversial and has great effect on the origin judge. Some studies suggest that the C29-sterols have also been presented in microalgae such as diatoms and freshwater eustigmatophytes, and originate from nonmarine algae and bacteria, as well as the marine pelagic sediments deposited far away from terrestrial input [64,58,65,66]. Therefore, the origin of organic matters need further study.

Preservation condition is one of the important factors affecting the enrichment of organic matter, which also could be determined by biomarker compound. Abundant isoprenoid alkanes could be tested in Es3 shale samples. The pristine (Pr) and phytane (Ph) are short-chain acyclic isoprenoids, and are nearly ubiquitous in crude oil and sediment extracts [41]. The ratio of Pr/Ph is commonly used to interpret the redox conditions and the source of OM at the sediment-water interface for OM preservation [67]. A comparable low Pr/Ph <0.5 typically occurs in strong reductive high salt sedimentary environment. The value of 0.5-1.0 implies reductive environment, and 1.0-2.0 for Weak reduction weak oxidation environment. The Pr/Ph >2.0 demonstrates oxidizing environment, and >2.5 hints a coal strata [68,67]. Nevertheless, the ratio may be affected by thermal maturity and differences in the precursors for acyclic isoprenoids to some extent [69,70], therefore it should be used with care.

The Pr / Ph values in Dongpu Es3 shales are small as a whole, mostly less than 1.0, which has the advantage of phytane. The relationship between Pr/nC17 and Ph/nC18 indicates that the sedimentary environment during the formation of Dongpu Es3 shales was a strong reducing environment (Figure 7). The Pr/Ph ratio of Dongpu Es3 shales increases obviously, with obvious change of the distribution of Pr/ nC17 and Ph/nC18. It implies that the reducibility of sedimentary water body is weakened, which proves that the sedimentary water body becomes shallower in Es3 shales deposting period. The Nanpu Es3 shales low Pr/Ph value (0.2-1.7, avg. 0.9), and Pr/nC17 and Ph/ nC18 reflect that the sedimentary environment of the source rock is generally reductive to weak oxidation environment. The whole is a weak reduction / oxidation freshwater environment, which may lead to low enrichment of organic matter.

figure 7
Figure 7: The relation of Ph/C18 and Pr/C17 of Es3 shales in the Nanpu and Dongpu depressions.

4.4 Major elements and mineral composition

The elemental concentrations of the Es3 shales in the Nanpu and Dongpu depressions are shown in Figure 8a. The Nanpu Es3 shales contain higher SiO2 and CaO than Dongpu Es3 shales. The other oxides of major elements in the two depressions are close. To compare these results with the average values of the upper continental crust (UCC) and post-Archean Australian shales (PAAS), the major element compositions of the Es3 shale samples were standardized to the UCC and PAAS compositions [71]. The gain or loss of elemental mass relative to the UCC and PAAS could be observed in Figure 8b. Values >1 indicate an increase in the relative abundance of the element in the sample compared to the UCC and PAAS, and values <1 indicate a decrease in the relative abundance of the element mainly due to the paleo weathering processes [72]. In this study, the values of K, Al and Na in Es3 shales are less than 1 comparing with UCC and PAAS, implying that the formation of the Es3 shales involved moderate weathering of continental crustal material in both Nanpu and Dongpu depressions. K, Al and Naare typical incompatible elements and are important components of chemically stable minerals, such as quartz and feldspar, which are commonly concentrated in geochemically mature sediments [73,74,72]. This result suggests that the Bohai Bay Basin most likely experienced active tectonic conditions during the middle Eocene. The strong depletion in Na implies intense dissolution of albite, which is the main host mineral of the Na+ mobile cation. The Ca in both Nanpu and Dongpu Es3 shales have obvious enrichment comparing with UCC and PAAS. The Nanpu Es3 shales enrich in P and Mn comparing with UCC and PAAS, while the P and Mn concentrations in Dongpu Es3 shales are close to UCC and PAAS. However, the Mg is aggregating in Dongpu Es3 shales comparing with UCC and PAAS.

figure 8
Figure 8: Major elements content (a) and mass-balance calculation compared to the UCC and PAAS (b) for the Es3 shales in the Nanpu and Dongpu depressions.

High Ca enrichment in the Es3 shales compared to the UCC and PAAS (Figure 8). P2O5 show scattered positive relation with CaO in Nanpu Es3 shales, and emerges negative relation in Dongpu Es3 shales (Figure 9a). These hinting additional CaO possibly residing in carbonate in Nanpu Es3 shales and phosphate in Dongpu Es3 shales. In addition, CaO is obviously negative related to both Al2O3 and SiO2 (Figure 9b and 9c), suggesting a possible source of CaO from silicate and secondary origin from carbonate minerals. In addition, the Dongpu Es3 shales may contain a certain amount of phosphate for the saline environment. The depletion in Na and positive correlation between Na and Si (Figure 9d) implies intense dissolution of albite, which is the main host of the mobile cation Na+. Al3+ and Ti4+ precipitate as hydroxides or oxides or are incorporated into the structure of clay minerals [75]. Two good positive linear correlations exist between TiO2 and Al2O3 for Nanpu and Dongpu Es3 shales (Figure 9f), and these fairly constant Al/Ti ratios indicate that Ti is mainly associated with clay minerals [76].

figure 9
Figure 9: Correlations among the major element oxides (in molar proportions) in the Es3 shales of the Nanpu and Dongpu depressions.

4.5 Weathering characteristics and paleoclimate conditions

Chemical weathering strongly affects the geochemical and mineralogical variability of sedimentary rocks [77]. Paleoweathering processes can be quantifiably evaluated by the chemical index of alteration (CIA), which was proposed by Nesbitt and Young [78] as: CIA = [Al2O3 / (Al2O3 + CaO* + Na2O + K2O)] × 100.CaO* is the amount of CaO present in the silicate fraction of the rock. In this study, phosphate and carbonate may exist in the Nanpu and Dongpu Es3 shales. Therefore, the CaO in phosphate was corrected [79]. In addition, reasonable CaO/Na2O ratio was proposed to indirectly estimate the CaO in silicate fraction by distinguishing it from carbonate CaO directly [79,80]. When CaO/ Na2O > 1, silicate CaO is the Na2O content; when CaO/Na2O ≤ 1, silicate CaO is the measured CaO. The CIA is a dimensionless parameter ranging from 0 to 100. CIA values of 45-55 indicate no weathering, while a CIA value of 100 indicates intense weathering. CIA values between 50.0 and 60.0 indicate a low degree of chemical weathering, and 60.0-80.0 for moderate weathering, and >80.0 for extreme chemical weathering [78,81,82].

In this study, the CIA values of the Nanpu Es3 shales range from 57.3 to 75.5 with an average of 68.9, which are higher than those in Dongpu Es3 shales (46.9-71.7, avg. 60.9). These results indicate that the Es3 shales went through moderate weathering, and the Dongpu Es3 shales suffered lower degree of chemical weathering comparing to Nanpu Es3 shales. The CIA values of Es3 shale sediments are significantly higher than that of the UCC (47.7), but CIA values of Nanpu Es3 shales are similar to that of post-Archean Australian shales (PAAS) (70.3, [71], Figure 10a).

figure 10
Figure 10: The comparison of geochemical weathering trends of the Es3 shales in the Nanpu and Dongpu depressions.

In addition, based on the proportion of secondary aluminous minerals relative to primary mineral phases, the Al2O3-(CaO*+Na2O)-K2O (A-CN-K, Figure 10a) ternary plot has been widely used to analyze the weathering rates of primary minerals and weathering-induced diagenetic alteration [83,84,75]. Almost all of Es3 shale samples were plotted on the straight line subparallel to A-CN (Figure 10a). It reflects the typical sediments that have been subjected to different degrees of chemical weathering, leading to the predominant removal of silicatic Ca and Na due to the destruction of plagioclase feldspars [78,83,85]. This plots along the predicted weathering trend, shows that the leaching of Ca2+ and Na+ via moderate weathering processes. Furthermore, it resulted in the formation of some minerals compositionally between illite and kaolinite (Figure 10a). There is no obvious tendency towards to the K2O vertex for Es3 shale samples, suggesting little K-metasomatism and metamorphism participated in the chemical weathering process [81].

In addition, the geochemical weathering conditions can also be predicted by the M-F-W ternary diagram, which was developed from a statistical analysis of element behavior during the course of igneous rock weathering [86]. M and F represent mafic and felsic igneous source rocks respectively, and W represents the degree of weathering [87]. In this study, the W value of the Nanpu Es3 shales ranges from 31.0 to 69.0 with an average of 54.6, which is higher than that in Dongpu Es3 shales (15.3-65.7, 37.9), implying higher weathering in Nanpu depression than that in Dongpu depression during Es3 shales deposion. These results are consistent with the evidences from CIA (Figure 10), suggesting a good reliability for identifying weathering conditions. The Es3 shales plots show a trend toward the W vertex (Figure 10b), indicating a moderate weathering condition.

4.6 Paleotemperature and paleoprecipitation

The chemical weathering process is primarily controlled by the prevailing climate, including the surface temperature and precipitation regime [88-91], and leads to geochemical and mineralogical variability in sedimentary rocks. Sheldon et al. [89] proposed the mean annual temperature (MAT) and mean annual precipitation (MAP) as two climofuctions to reconstruct the paleoclimate under which paleosols formed, and the results are comparable to other independent proxies. This method has been used by Passchier et al. [90,91] to reconstruct Antarctic continental paleotemperature and precipitation during the Eocene and Miocene. The mean annual temperature is calculated as MAT = -18.516(S)+17.298, where S is defined as the molar ratio of Na2O and K2O to Al2O3. For MAP (mm/ yr). Passchier et al. [90] modified the climofunction based on Sheldon et al. [89] to emphasize the silicate mineral-bound components: MAP = 147.75×exp(0.0232×CIA-K), where CIA-K is the CIA without potassium (potassium is excluded to remove the effects of potassium metasomatism on paleosols; [92]).

The MAT and MAP in Nanpu and Dongpu depressions are compared in this study. The MAT values in Nanpu Es3 shales range from 8.3°C to 12.9 °C with an average of 11.3 °C, which are higher than those in Dongpu Es3 shales (8.1-12.0°C; avg. 9.0°C). The MAT shows good positive relation with MAP for Es3 shales (Figure 11). The MAP values in Nanpu depression are in the range of 137.9-1099.8 mm/yr (avg. 896.3 mm/yr), which are higher than those in Dongpu depression varying from 133.1 mm/yr to 1032.1 mm/yr with average value of 766.1 mm/yr. These results suggest that the Es3 shales suffered seasonally dry and cool conditions (600-1200 mm/yr; [89] during the middle Eocene. Furthermore, the climatic conditions in Dongpu depression are drier and cooler than those in Nanpu depression. While, Nanpu depression locates at the higher latitudes than Dongpu derpresssion, which should have cooler conditions. These abnormal conditions may be caused by two reasons: 1) the uplift between Nanpu and Dongpu depression in Bohai Bay Basin may have obvious effect on the climate in Bohai Bay Basin; 2) the material source in the two depressions are different which leading to the non-determinacy of geochemical characteristics.

figure 11
Figure 11: Correlations of MAP and MAT for Es3 shales in the Nanpu and Dongpu depressions.

4.7 Provenance of shale sediments

Provenance and tectonics are important factors affecting weathering products [93-95]. The A-CN-K plots show moderate paleoweathering for the Es3 shales relative to the UCC and PAAS, and the provenances are close to mafic and felsic igneous rocks (Figure 10a). Furthermore, the M-F-W diagram suggests that the provenances of the Es3 shales are intermediate in composition (Figure 10b). To identify the provenance of the Es3 shales more exactly, a discrimination diagram based on seven major element compositions proposed by Roser and Korsch [96] is further used in this study. As shown in Figure 12a, the Es3 shale samples are mainly located in the P2 and P3 field, and part Nanpu Es3 shale samples at P3 fields. This pattern implies a mainly intermediate provenance and less mafic and felsic sources. This result also is supported by Al2O3/TiO2 ratio. The Al2O3/TiO2 value of Nanpu Es3 shale samples are 16.9-31.1 (avg. 20.3), and those of Dongpu Es3 shale samples range from 21.1 to 31.0 (avg. 25.8). These results locate at the range of 21-70, indicative of a provenance from intermediate igneous rocks for Nanpu Es3 shales and felsic igneous provenance for Dongpu Es3 shales [97]. The log (SiO2/Al2O3) - log(Fe2O3/K2O) diagram shows that the Dongpu Es3 shales are typical shale sediments, while the Nanpu Es3 shales are iron enrichment. The K2O/Na2O vs. SiO2 diagram further reveals that the Nanpu depression suffered an active continental margin and Dongpu depression went thorough occanic island margin (Figure 12c; [96,98]). This result is supported by Al2O3/ SiO2 vs. Fe2O3 and MgO diagram (Figure 12b; [99]). The Nanpu depression had many volcanic activities and active structures during the middle Eocene [24], which led the warm and moist condition and facilitated the wreathing of parent rock.

figure 12
Figure 12: Provenance and tectonic discrimination plots for Es3 shales in the Nanpu and Dongpu depressions.

5. Conclusions

Based on comparative analysis of geochemical characteristics of shales formed at different depositional environments in the Bohai Bay basin, this study reveals the difference of shale oil potential between saline-shales and freshwater-shales. The shales deposited at saline environment have higher organic matters enrichments with higher TOC contents than than the shales deposited at freshwater environment. Meanwhile, the hydrocarbon potential in freshwater-shales is higher with high HI value than that in saline-shales. While, the free hydrocarbon in the saline-shales is higher than that in freshwater-shales, meaning higher shale oil potential in the saline-shales. This is caused by the salt sediments, which have high thermal conductivity and facilitate the hydrocarbon generation at the same condition. The organic matters in freshwater-shales are mainly I/II1 types and dominated by sapropelic substance, which is dominantly origin from the aquatic organism. While, the organic matters in saline-sahles are dominated sapropelinite and liptinite with II1/II2 types, which derive from the mix source of aquatic algae and terrestrial higher plants. The salt sediments contribute to the higher thermal maturity in the saline-shales at the same conditions. The biomarkers shows that the organic matters in saline-shales deposited under strong reducing environment, while freshwater-shales were under generally reductive to weak oxidation environment.

The saline-shales and freshwater-shales mainly have obvious Ca enrichments comparing to UCC and PAAS, with great difference in the elements enrichments. Those differences were caused by the chemical weathering. The Es3 shales suffered a moderate weathering condition. The weathering condition in Nanpu depression is higher than that in Dongpu depression with higher CIA and W values. This is caused by the higher MAT and MAP in Nanpu depression than that in Dongpu depression during Es3 deposition. The warm and humid climate in Nanpu depression facilitated the weathering of parent intermediate igneous rocks, and led to the runoff and enrichment of elements. The cooler and drier condition Dongpu depression led more weathering of felsic igneous provenance. The difference of provenance between Nanpu and Dongpu depression mainly were affected by the tectonic background. The Es3 shales in Nanpu depression deposited under active continental margin tectonic setting, and those in Dongpu depression formed at the occanic island margin tectonic setting.

Competing Interests

The authors declare that they have no competing interests.

Acknowledgments

In the process of this research, Jidong Oilfield of China National Petroleum Corporation (CNPC), and Sinopec Zhongyuan Oilfield provided considerable help in sampling and experiments and provided the basic study data, and we wish to express our gratitude for this assistance. We are also grateful for the people who provided thoughtful comments and assisted in the process of writing this manuscript.


References

  1. Zhang J, Lin L, Li Y, Tang X, Zhu L, et al. (2012) Classification and evaluation of shale oil. Earth Sci Front 19: 322-331.
  2. Er C, Zhao J, Bai Y, Fan H, Shen W, et al. (2013) Reservoir characteristics of the organic- rich shales of the Triassic Yanchang formation in Ordos basin. Oil Gas Geol 34: 709-716.
  3. Luo R, Zha M, He H, Gao C, Qu J, et al. (2016) Characteristics of pore structures in Paleogene shales in Nanpu Sag. Journal of China University of Petroleum 40: 23-33.
  4. Lewan MD, Ruble TE (2002) Comparison of petroleum generation kinetics by isothermal hydrous and nonisothermal open-system pyrolysis. Org Geochem 33: 1457-1475. [CrossRef] [Google Scholar]
  5. Manzi V, Roveri M, Gennari R, Bertini A, Biffi U, et al. (2007) The deepwater counterpart of the messinian lower evaporites in the apennine foredeep: the Fanantello section (Northern apennines, Italy). Palaeogeogr Palaeoclimatol Palaeoecol 251: 470-499. [CrossRef] [Google Scholar]
  6. Jin Q, Zhu G, Wang J (2008) Deposition and distribution of high- potential source rocks in saline lacustrine environments. J Chin Univ Petrol 32: 19-23. [Google Scholar]
  7. Grosjean E, Love GD, Stalvies C, Fike DA, Summons RE, et al. (2009) Origin of petroleum in the Neoproterozoice Cambrian south Oman salt Basin. Org Geochem 40: 87-110. [CrossRef] [Google Scholar]
  8. Cai X (2012) Hydrocarbon generation-expulsion mechanisms and efficiencies of lacustrine source rocks: a case study from the Dongying sag, Bohai Bay basin. Oil Gas Geol 33: 329-334. [Google Scholar]
  9. Li R (1993) Study on organic matter and oil generation of sedimentary rocks in evaporative salt environment. Beijing: Ocean Press.
  10. Peters KE, Cunningham AE, Walters CC, Jiang J, Fan Z, et al. (1996) Petroleum systems in the Jiangling - Dangyang area, Jianghan Basin, China. Org Geochem 24: 1035-1060. [CrossRef] [Google Scholar]
  11. Schieber J, Zimmerle W (1998) The history and promise of shale research. Shales and Mudstones 1: 1-10. [Google Scholar]
  12. Katz B, Lin F (2014) Lacustrine basin unconventional resource plays: Key differences. Mar Pet Geol 56: 255-265. [CrossRef] [Google Scholar]
  13. Liu C, Jiang X (2018) Development report of oil and gas industry at China and abroad in 2018. Petroleum Industry Press: Beijing.
  14. Jia J (2012) Research on the Recognition and Resource Evaluation of the Upper Cretaceous Oil Shale Based On Geochemistry-Geophysics Technique in the Songliao Basin (NE, China). Doctoral Thesis, Jilin University.
  15. Sun PC, Sachsenhofer RF, Liu Z, Strobl SA, Meng Q, et al. (2013) Organicmatter accumulation in the oil shale-and coal-bearing Huadian Basin (Eocene; NE China). Int J Coal Geol 105: 1-15. [CrossRef] [Google Scholar]
  16. Pedersen TF, Calvert SE (1990) Anoxia vs. Productivity: what controls the formation of organic-carbon-rich sediments and sedimentary rocks? AAPG Bull 74: 545-466. [CrossRef] [Google Scholar]
  17. Dean WE, Gardner JV, Piper DZ (1997) Inorganic geochemical indicators of glacial-interglacial changes in productivity and anoxia on the California continental margin. Geochim Cosmochim Acta 61: 4507-4518. [CrossRef] [Google Scholar]
  18. Boucsein B, Stein R (2000) Particulate organic matter in surface sediments of the Laptev Sea (Arctic Ocean): application of maceral analysis as organic-carbon-source indicator. Mar Geol 162: 573-586. [CrossRef] [Google Scholar]
  19. Stow DAV, Huc AY, Bertrand P (2001) Depositional processes of black shales in deep water. Mar Pet Geol 18: 491-498. [CrossRef] [Google Scholar]
  20. Zhang W, Yang H, Fu S, Zan C (2007) On the development mechanism of the lacustrine high-grade hydrocarbon source of Chang 91 member in Ordos Basin. Sci China Ser D Earth Sci 50: 39-46. [CrossRef] [Google Scholar]
  21. Hao F, Zhou X, Zhu Y, Yang Y (2011) Lacustrine source rock deposition in response to co-evolution of environments and organisms controlled by tectonic subsidence and climate, Bohai Bay Basin, China. Org Geochem 42: 323-339. [CrossRef] [Google Scholar]
  22. Li W, Zhang Z, Li Y, Liu C, Fu N, et al. (2013) The main controlling factors and developmental models of Oligocene source rocks in the Qiongdongnan Basin, northern South China Sea. Pet Sci 10: 161-170. [CrossRef] [Google Scholar]
  23. Jiang F, Chen D, Zhu C, Ning K, Ma L, et al. (2021) Mechanisms for the Anisotropic Enrichment of Organic Matter in Saline Lake Basin: A Case Study of the Early Eocene Dongpu Depression, Eastern China. Journal of Petroleum Science and Engineering 210: 110035. [CrossRef] [Google Scholar]
  24. Chen D, Pang X, Li L, Jiang F, Liu G, et al. (2021) Organic geochemical characteristics and shale oil potential of the middle Eocene early-mature shale in the Nanpu Sag, Bohai Bay Basin, Eastern China. Marine and Petroleum Geology 133: 105248. [CrossRef] [Google Scholar]
  25. Chen S, Xu S, Wang D, Tan Y (2013) Effect of block rotation on fault sealing: An example in Dongpu sag, Bohai Bay basin, China. Mar Pet Geol 39: 39-47. [CrossRef] [Google Scholar]
  26. Lyu X, Jiang Y, Liu J (2016) Phase types identification and genetic analysis for Paleogene condensate gas pools in the Dongpu depression. J China Univ Miner Technol 45: 1148-1155. [Google Scholar]
  27. Jiang F, Pang X, Bai J, Xinhuai Z, Jianping L, et al. (2016) Comprehensive assessment of source rocks in the Bohai Sea area, eastern China. AAPG Bulletin 100: 969-1002. [CrossRef] [Google Scholar]
  28. Lu R, Zhao C, Chen S (1993) Petroleum Geology of China. Petroleum Industry Press, Beijing.
  29. Hou G, Qian X, Cai D (2001) The tectonic evolution of Bohai basin in Mesozoic and Cenozoic time. Acta Sci Nat Univ Pekin 37: 845-851.
  30. Su H, Qu L, Zhang J, Wang P, He F, et al. (2006) Tectonic evolution and extensional pattern of rifted basin, a case study of Dongpu depression. Oil Gas Geol 27: 70-71. [CrossRef] [Google Scholar]
  31. Jiang Y, Chang Z, Lu X, Wu X (2008) Genetic types and distribution of paleogene condensate gas pools in Dongpu depression. J China Univ Petrol 32: 28-34. [CrossRef] [Google Scholar]
  32. Zhu WL, Wang GC, Zhou Y (2000) Potential of petroleum resources in the offshore of Bohai Bay Basin. Acta Petrolei Sinica 21: 1-7. [Google Scholar]
  33. Zhu WL, Ge JD (2001) Gas exploration potential in offshore Bohai Bay Basin. Acta Petrolei Sinica 22: 8-13. [Google Scholar]
  34. Zuo YH, Qiu NS, Li CC, Li JP, Guo YH, et al. (2011) Geothermal regime and hydrocarbon kitchen evolution of the offshore Bohai Bay Basin, North China. AAPG Bulletin 95: 749-769. [CrossRef] [Google Scholar]
  35. Zheng T, Zhao L, Chen L (2005) A detailed receiver function image of the sedimentary structure in the bohai bay basin. Phys Earth Planet Int 152: 129-143. [CrossRef] [Google Scholar]
  36. Qi J, Yang Q (2010) Cenozoic structural deformation and dynamic processes of the Bohai Bay Basin province, China. Mar Pet Geol 27: 757-771. [CrossRef] [Google Scholar]
  37. Wang M, Sherwood N, Li Z, Lu S, Wang W, et al. (2015) Shale oil occurring between salt intervals in the Dongpu Depression, Bohai Bay Basin, China. Int J Coal Geol 152: 100-112. [CrossRef] [Google Scholar]
  38. Tang L, Pang X, Xu T, Hu T, Pan Z, et al. (2017) Hydrocarbon generation thresholds of Paleogene Shahejie Fm source rocks and their north-south differences in the Dongpu Sag, Bohai Bay Basin. Natur Gas Ind 37: 26-37.
  39. Du H, Yu X, Chen F (2008) Sedimentary characteristics of saltrocks and their petroleum geologic significance of the member 3 of Shahejie formation of Paleogene in Dongpu depression, Henan Province. Journal of Palaeogeography 10: 53-62.
  40. Chen J, Lu K, Feng Y, Yuan K, Wang D, et al. (2012) Evaluation on hydrocarbon source rocks in different environments and characteristics of hydrocarbon generation and expulsion in Dongpu Depression. Fault-Block Oil & Gas Field 19: 35-38.
  41. Peters K, Walters C, Moldowan J (2005) The Biomarker guide: Biomarkers and Isotopes in Petroleum Exploration and Earth History. University Press: Cambridge.
  42. Lu S, Huan W, Chen F, Li J, Wang M, et al. (2012) Classification and evaluation criteria of shale oil and gas resource: discussion and application. Pet Explor Dev 39: 249-255. [CrossRef] [Google Scholar]
  43. Jarvie DM (2012) Shale resource systems for oil and gas: Part 2-Shale-oil resource systems. AAPG Memoir. [CrossRef] [Google Scholar]
  44. He J, Ding W, Jiang Z, Li A, Wang R, et al. (2016) Logging identification and characteristic analysis of the lacustrine organic-rich shale lithofacies: A case study from the Es3L shale in the Jiyang Depression, Bohai Bay Basin, Eastern China. J Petrol Sci Eng 145: 238-255. [CrossRef] [Google Scholar]
  45. Peters K, Cassa M (1994) Applied source rock geochemistry. AAPG Memoir.
  46. Zou Y, Sun J, Li Z, Xu X, Li M, et al. (2018) Evaluating shale oil in the Dongying Depression, Bohai Bay Basin, China, using the oversaturation zone method. J Petrol Sci Eng 161: 291-301. [CrossRef] [Google Scholar]
  47. Varma A, Mishra D, Samad S, Prasad A, Panigrahi D, et al. (2018) Geochemical and organo-petrographic characterization for hydrocarbon generation from Barakar Formation in Auranga Basin, India. Int J Coal Geol 186: 97-114. [CrossRef] [Google Scholar]
  48. Behar F, Lewan M, Lorant F, Vandenbroucke M (2003) Comparison of artificial maturation of lignite in hydrous and nonhydrous conditions. Org Geochem 34: 575-600. [CrossRef] [Google Scholar]
  49. Li M, Chen Z, Cao T, Ma X, Liu X, et al. (2018) Expelled oils and their impacts on Rock-Eval data interpretation, Eocene Qianjiang Formation in Jianghan Basin, China. Int J Coal Geol 191: 37-48. [CrossRef] [Google Scholar]
  50. Xu H (2001) Testing Technology and Application of Petroleum Geological Experiments. Petroleum Industry Press: Beijing.
  51. ICCP (1998) The new vitrinite classification. Fuel 77: 349-358.
  52. Hutton A (1994) Chemical and petrographic classification of kerogen/macerals. Energy & Fuel 8: 1478-1488. [CrossRef] [Google Scholar]
  53. Littke R, Klussmann B, Krooss B, Leythaeuser D (1991) Quantification of loss of calcite, pyrite, and organic matter due to weathering of Toarcoan black shales and effects on kerogen and bitumen characteristics. Geochim Cosmochim Ac 55: 3369-3378. [CrossRef] [Google Scholar]
  54. Scott A (2002) Coal petrology and the origin of coal macerals: a way ahead? Int J Coal Geol 50: 119-134. [CrossRef] [Google Scholar]
  55. Bandopadhyay AK, Mohanty D (2014) Variation in hydrogen content of vitrinite concentrates with rank advance. Fuel 134: 220-225. [CrossRef] [Google Scholar]
  56. Wang P, Chen Z, Pang X, Hu K, Sun M, et al. (2016) Revised models for determining TOC in shale play: Example from Devonian Duvernay shale, Western Canada sedimentary basin. Mar Pet Geol 70: 304-319. [CrossRef] [Google Scholar]
  57. Jarvie D, Claxton B, Henk F, Breyer J (2001) Oil and Shale Gas from the Barnett Shale, Ft. Worth Basin, Texas. Talk presented at the AAPG National Convention. Denver, CO. AAPG Bull.
  58. Moldowan J, Seifert W, Gallegos E (1985) Relationship between petroleum composition and depositional environment of petroleum source rocks. AAPG Bull 69: 1255-1268. [CrossRef] [Google Scholar]
  59. Xu J, Bechtel A, Sachsenhofer R, Liu Z, Gratzer R, et al. (2015) High resolution geochemical analysis of organic matter accumulation in the Qingshankou Formation, Upper Cretaceous, Songliao Basin (NE China). Int J Coal Geol 141: 23-32. [CrossRef] [Google Scholar]
  60. Volkman J (1986) A review of sterol markers for marine and terrigenous organic matter. Org Geochem 9: 83-99. [CrossRef] [Google Scholar]
  61. Grantham P, Wakefield L (1988) Variations in the sterane carbon number distributions of marine source rock derived crude oils through geological time. Org Geochem 12: 61-73. [CrossRef] [Google Scholar]
  62. Palmer S (1984) Hydrocarbon Source Potential of Organic Facies of Lacustrine Elko Formation (Eocene-Oligocene), Northeastern Nevada. AAPG Bull 68: 945-945. [Google Scholar]
  63. Hunt J (1996) Petroleum geology and geochemistry, Freeman, New York.
  64. Volkman J, Alexander R, Kagi R, Noble R, Woodhouse C, et al. (1983) A geochemical reconstruction of oil generation in the Barrow Sub-basin of Western Australia. Geochim Cosmochim Ac 47: 2091-2105. [CrossRef] [Google Scholar]
  65. Riboulleau A, Schnyder J, Riquier L, Lefebvre V, Baudin F, et al. (2007) Environmental change during the Early Cretaceous in the Purbeck-type Durlston Bay section (Dorset, Southern England): a biomarker approach. Org Geochem 38: 1804-1823. [CrossRef] [Google Scholar]
  66. Shekarifard A, Daryabandeh M, Rashidi M, Hajian M, Röth J, et al. (2019) Petroleum geochemical properties of the oil shales from the Early Cretaceous Garau Formation, Qalikuh locality, Zagros Mountains, Iran. Int J Coal Geol 206: 1-18. [CrossRef] [Google Scholar]
  67. Luo G, Yang H, Algeo T, Hallmann C, Xie S, et al. (2019) Lipid biomarkers for the reconstruction of deep-time environmental conditions. Earth-Sci Rev 189: 99-124. [CrossRef] [Google Scholar]
  68. Bechtel A, Jia J, Strobl S, Sachsenhofer R, Liu Z, et al. (2012) Palaeoenvironmental conditions during deposition of the Upper Cretaceous oil shale sequences in the Songliao Basin (NE China): Implications from geochemical analysis. Org Geochem 46: 76-95. [CrossRef] [Google Scholar]
  69. Brooks JD, Gould K, Smith JW (1969) Isoprenoid hydrocarbons in coal and petroleum. Nature 222: 90. [CrossRef] [Google Scholar]
  70. Powell TG, Mckirdy DM (1973) Relationship between ratio of pristine to phytane, crude oil composition and geological environment in Australia. Phys Sci 243: 37-39. [CrossRef] [Google Scholar]
  71. Taylor SR, McLennan SM (1985) The Continental Crust: its Composition and Evolution. Blackwell, Oxford. [Google Scholar]
  72. Perri F, Ohta T (2014) Paleoclimatic conditions and paleoweathering processes on Mesozoic continental redbeds from Western-Central Mediterranean Alpine Chains. Palaeogeography Palaeoclimatology Palaeoecology 395: 144-157. [CrossRef] [Google Scholar]
  73. Khudoley AK, Rainbird RH, Stern RA, Kropachev AP, Heaman LM, et al. (2001) Sedimentary evolution of the Riphean-Vendian basin of southwestern Siberia. Precambrian Research 111: 129-163. [CrossRef] [Google Scholar]
  74. Ohta T (2004) Geochemistry of Jurassic to earliest Cretaceous deposits in the Nagato Baisn, SW Japan: implication of factor analysis to sorting effects and provenance signatures. Sedimentary Geology 171: 159-180. [CrossRef] [Google Scholar]
  75. Panahi A, Young GM, Rainbird RH (2000) Behavior of major and trace elements (including REE) during Paleoproterozoic pedogenesis and diagenetic alteration of an Archean granite near Ville Marie, Quebec, Canada. Geochimica et Cosmochimica Acta 64: 2199-2220. [CrossRef] [Google Scholar]
  76. Young GM, Nesbitt HW (1998) Processes controlling the distribution of Ti and Al in weathering profiles, siliciclastic sediments and sedimentary rocks. Journal of Sedimentary research 68: 448-455. [CrossRef] [Google Scholar]
  77. Nesbitt HW, Young GM, McLennan SM, Keays RR (1996) Effects of chemical weathering and sorting on the petrogenesis of siliciclastic sediments, with implications for provenance studies. The Journal of Geology 104: 525-542. [CrossRef] [Google Scholar]
  78. Nesbitt HW, Young GM (1982) Early Proterozoic climates and plate motions inferred from major element chemistry of lutites. Nature 299: 715. [CrossRef] [Google Scholar]
  79. McLennan SM (1993) Weathering and global denudation. The Journal of Geology 101: 295-303. [CrossRef] [Google Scholar]
  80. Bock B, McLennan SM, Hanson GN (1998) Geochemistry and provenance of the Middle Ordovician Austin Glen Member (Normanskill Formation) and the Taconian orogeny in New England. Sedimentology 45: 635-655. [CrossRef] [Google Scholar]
  81. Fedo CM, Nesbitt HW, Young GM (1995) Unraveling the effects of potassium metasomatism in sedimentary rocks and paleosols, with implications for paleoweathering conditions and provenance. Geology 23: 921-924. [CrossRef] [Google Scholar]
  82. Fedo CM, Eriksson KA, Krogstad EJ (1996) Geochemistry of shales from the Archean (~3.0 Ga) Buhwa Greenstone Belt, Zimbabwe: implications for provenance and source area weathering. Geochimica et Cosmochimica Acta 60: 1751-1763. [CrossRef] [Google Scholar]
  83. Nesbitt HW, Young GM (1984) Prediction of some weathering trends of plutonic and volcanic rocks based on thermodynamic and kinetic considerations. Geochimica et Cosmochimica Acta 48: 1523-1534. [CrossRef] [Google Scholar]
  84. Nesbitt HW, Young GM (1989) Formation and diagenesis of weathering profiles. The Journal of Geology 97: 129-147. [CrossRef] [Google Scholar]
  85. Újvári G, Varga A, Raucsik B, Kovács J (2014) The Paks loess-paleosol sequence: a record of chemical weathering and provenance for the last 800 ka in the mid-Carpathian Basin. Quaternary International 319: 22-37. [CrossRef] [Google Scholar]
  86. Ohta T, Arai H (2007) Statistical empirical index of chemical weathering in igneous rocks: A new tool for evaluating the degree of weathering. Chemical geology 240: 280-297. [CrossRef] [Google Scholar]
  87. Ohta T, Li G, Hirano H, Sakai T, Kozai T, et al. (2011) Early Cretaceous terrestrial weathering in Northern China: relationship between paleoclimate change and the phased evolution of the Jehol Biota. The Journal of Geology 119: 81-96. [CrossRef] [Google Scholar]
  88. Muhs DR, Bettis EA, Been J, McGeehin JP (2001) Impact of climate and parent material on chemical weathering in loess-derived soils of the Mississippi river valley. Soil Science Society of America Journal 65: 1761-1777. [CrossRef] [Google Scholar]
  89. Sheldon ND, Retallack GJ, Tanaka S (2002) Geochemical climofunctions from North American soils and application to paleosols across the Eocene-Oligocene boundary in Oregon. The Journal of Geology 110: 687-696. [CrossRef] [Google Scholar]
  90. Passchier S, Bohaty SM, Jiménez-Espejo F, Pross J, Röhl U, et al. (2013) Early Eocene to middle Miocene cooling and aridification of East Antarctica. Geochemistry, Geophysics, Geosystems 14: 1399-1410. [CrossRef] [Google Scholar]
  91. Passchier S, Ciarletta DJ, Miriagos TE, Bijl PK, Bohaty SM, et al. (2017) An Antarctic stratigraphic record of stepwise ice growth through the Eocene-Oligocene transition. GSA Bulletin 129: 318-330. [CrossRef] [Google Scholar]
  92. Maynard JB (1992) Chemistry of modern soils as a guide to interpreting Precambrian paleosols. The Journal of Geology 100: 279-289. [CrossRef] [Google Scholar]
  93. Armstrong-Altrin JS, Verma SP (2005) Critical evaluation of six tectonic setting discrimination diagrams using geochemical data of Neogene sediments from known tectonic settings. Sedimentary Geology 177: 115-129. [CrossRef] [Google Scholar]
  94. Armstrong-Altrin JS, Nagarajan R, Madhavaraju J, Rosalez-Hoz L (2013) Geochemistry of the Jurassic and Upper Cretaceous shales from the Molango Region, Hidalgo, eastern Mexico: Implications for source-area weathering, provenance, and tectonic setting. Comptes Rendus Geoscience 345: 185-202. [CrossRef] [Google Scholar]
  95. Awasthi N (2017) Provenance and paleo-weathering of Tertiary accretionary prism-forearc sedimentary deposits of the Andaman Archipelago, India. Journal of Asian Earth Sciences 150: 45-62. [CrossRef] [Google Scholar]
  96. Roser BP, Korsch RJ (1988) Provenance signatures of sandstone-mudstone suites determined using discriminant function analysis of major-element data. Chemical geology 67: 119-139. [CrossRef] [Google Scholar]
  97. Hayashi KI, Fujisawa H, Holland HD, Ohmoto H (1997) Geochemistry of ~1.9 Ga sedimentary rocks from Northeastern Labrador, Canada. Geochimica et Cosmochimica Acta 61: 4115-4137. [CrossRef] [Google Scholar]
  98. Roser BP, Cooper RA, Nathan S, Tulloch AJ (1996) Reconnaissance sandstone geochemistry, provenance, and tectonic setting of the lower Paleozoic terranes of the West Coast and Nelson, New Zealand. New Zealand Journal of Geology and Geophysics 39: 1-16. [CrossRef] [Google Scholar]
  99. Bhatia MR (1983) Plate tectonics and geochemical composition of sandstones. The Journal of Geology 91: 611-627. [CrossRef] [Google Scholar]
  100. Roser BP, Korsch RJ (1986) Determination of tectonic setting of sandstone-mudstone suites using SiO2 content and K2O/Na2O ratio. The Journal of Geology 94: 635-650. [CrossRef] [Google Scholar]
  101. Herron MM (1988) Geochemical classification of terrigenous sands and shales from core or log data. Journal of Sedimentary Research 58: 820-829. [CrossRef] [Google Scholar]