Abstract
In this study collected samples of Chia Gara Formation in Atrush, Shaikhan and Sarsang oilfields are used to geochemical characteristics of organic matter in this formation. This determination was based on Rock-Eval pyrolysis and Biomarker analyses. The Chia Gara Formation can be considered as good to excellent source rock; it’s TOC content ranges from 1.14-8.5wt% with an average of 1.85%, 3.91%, and 6.94% in Atush-1, Mangesh-1 and Shaikhan-8 wells respectively. The samples of Chia Gara Formation contain kerogen type II. These properties are considered optimal for oil generation. The low oxygen index (OI) and pristane/phytane (Pr/Ph) ratios (Average 20.73, 0.61 respectively) and high hydrogen index (HI) (average 637.6) indicate that the formation was deposited under anoxic condition. According to regular sterane (C27%, C28%, C29%) and terpanes ratios (C29/C30, C31/C30 hopane), the formation was deposited in marine environment.
The average value of the Carbon Preference Index (CPI) is one with Tmax values of more than 430 ºC; these indicate peak oil window for the selected samples. Overall, the 20S/(20S+20R), ββ/(ββ+αα)C29 steranes and 22R/(22R+22S)C32homohopane, with Ts/ (Ts+Tm), and moretane/ hopane ratios point to a mature organic matter and to the ability of the formation to generate oil.
1 Introduction
Northern Iraq is one of the most suitable locations for deposition of carbonate rocks during Mesozoic Era. As global temperature raised good source rocks in Jurassic and Cretaceous periods are formed, Chia Gara Formation is the most important potential source rocks at these intervals [1]. Chia Gara is the most typical and widespread formation of the Tithonian-Berriasian subcycle [2]. This formation was first introduced by Wetzel in 1950 at its type locality in the Gara anticline, northern Iraq [3]. Lithologically, it consists of thin bedded limestone, argillaceous limestone and fissile black shale. This formation overlies the Barsarin Formation and underlies the Garagu Formation. To determine hydrocarbon potentiality of Chia Gara Formation, three wells which are Atrush-1, Shaikhan-8 and Mangesh-1 in three different blocks in Duhok basin are selected. The studied blocks include of Atrush, Shaikhan and Sarsang as shown in Figure 1 (a, b & c). The thickness of the formation is 196 m (depth from 932 m to 1128 m) in Atrush-1 well, 160 m (depth from 1320 m to 1480 m) in Shaikhan-8 well and 100m(depth from 2180 m to 2280 m) in Mangesh-1 well. For this study, some organic geochemistry analyses are carried out in groups in order to identify redox conditions, type of organic matter, thermal maturity and hydrocarbon generation potential.

Location map for the northeast Arabian Platform in Iraq, which shows Zagros Thrust-Fold Belt with oil and gas field locations, including studied wells
2 Geological Setting
The Zagros Fold Belt is a world-class hydrocarbon province in Iraq, which extends from the Iranian borders in the east to the Turkish borders in the north [1]. The northwestern segment of this belt became a region of interest for hydrocarbon generation and exploration. The studied boreholes are located within the High Folded Zone (Fig. 1a) which is a part of the northwestern segment of the Zagros Fold Belt that covers the deformed portion of the northeastern Arabian platform due to Cenozoic convergence between Eurasia and Arabia. All significant hydrocarbon discoveries in this region occur in compressional structures formed during this convergence. The subsidence in the developing Zagros foredeep induced a major phase of source rock evaluation and hydrocarbon expulsion [4]. The main source rock in Zagros Fold Belt during the Late Jurassic to Early Cretaceous period is Chia Gara Formation [5].
Atrush block is located within the Zagros sedimentary basin, 25 km. to the east of the Duhok city. Atrush structure is a fault-related fold that developed along a shallow thrust that is oriented in the east-west direction with the Zagros Orogenic Belt trend. The topography of Atrush block is similar to that of the Shaikhan block, the last one is located 60 km. to the southeast of Duhok city. Shaikhan structure is an anticline at the northwestern terminus of the Zagros Fold Belt and is affected by several faults. It lies in the highly prospective and productive oil province in northern Iraq. Sarsang block is located on the northern limb of the Gara anticline, 50 km to the northeast of Duhok city. Structurally, this block is more complex than the Atrush and Shaikhan blocks. The Sarsang block is characterized by several faults that have horst and graben structures.
3 Material and method
Thirty cutting samples from Chia Gara Formation were selected and analyzed by Rock-Eval pyrolysis-6 in both Kurdistan Institution for Strategic Studies and Scientific Research/Sulaimaniya Governorate and Scientific Research Center-Soran University/ Erbil Governorate.
The samples were powdered and subjected to Rock-Eval pyrolysis to determine their TOC, volatile hydrocarbon (S1), remaining hydrocarbon generation potential (S2), and Tmax value. This technique uses temperature programmed heating of a small amount of rock sample (50 mg) in an inert atmosphere (nitrogen). The samples were heated from 300 ∘C for 3min to 650 ∘C at a rate of 25 ∘C/min; the instrument is equipped with two ovens for pyrolysis and combustion processes respectively. The hydrocarbons generated during a Rock-Eval analysis are monitored by a Flame Ionization Detector (FID) whereas the non-hydrocarbons compounds like CO2 and CO released during pyrolysis and oxidation stages are monitored by an infra-red detector.
Nine rock samples out of total thirty samples were analyzed by gas chromatography mass spectrometer (GC/MS) instrument. The analyses were performed at Organic Geochemistry Laboratory in Department of Geology and Petroleum Geology at University of Aberdeen/Scotland-UK.
Organic matter extraction (soxhlet extraction)
30 g of the crushed samples were weighed and extracted for forty eight hours (48 hrs.) with 93:7 dichloromethane/methanol (DCM/MeOH) via soxhlet-extraction. Then, the extracts were fractionated into saturated, aromatic and polar compounds using silica column chromatography. Saturated fractions were dissolved in certain amount of hexane and finally detected and analyzed by GC-MS apparatus. GC-MS analysis of the saturate fraction was performed using an Agilent 6890N GC. Relative abundances of n-alkanes (m/z 85), triterpanes (m/z 191) and steranes (m/z 217) were calculated by measuring peak heights.
Column Gas Chromatography (CC)
The extracted organic matter from soxhlet was fractionated by Column chromatography (CC). A short pipette stopped with a little clean cotton bud was loaded with clean silica gel (1/2 to 1/3 of column length). The silica gel about 60-120 mesh laboratory reagent was activated at 120 ∘C in oven for 24 hrs prior to use.The saturated fraction was eluted with 3 mL of n-hexane, the aromatic fraction with 3 mL mixture of n-hexane and DCM (3:1) v/v and polar fraction with 3 mL mixture of DCM and methanol (2:1) v/v. The eluted fractions were evaporated under a stream of dry nitrogen gas to remove the solvent. After removing the solvent the glass vials of each fraction were reweighed determine masses.
Gas chromatography-mass spectrometry (GC-MS) procedure
Gas chromatography-mass spectrometry (GC-MS) was performed on Agilent Technologies 6890N Network GC system fitted with a 30.0 × 250.0 μm i.d; film thickness 0.25 μm fused silica DB-5 column coupled to an AT 5975 quadrupole mass selector detector for identification (electron input energy 70 eV, source temperature 250 ∘ C) with helium as carrier gas, normal initial flow: 1.3mL min-1. The saturated hydrocarbon fractions were analysed using an oven program at 60 ∘C (2.0 min) to 120 ∘C at 20 ∘C/min to 290 ∘C at 4 ∘C/min and held at 290 ∘C for 23 min. Data acquisition was controlled by CHEMSTATION software in ion selection monitoring (SIM) for saturated.
4 Results
4.1 Total Organic Carbon (TOC) and Rock-Eval Pyrolysis
The TOC and Rock-Eval analyses were conducted on thirty samples of Chia Gara Formation in Duhok basin. TOC values increase gradationally from 1.14-3.73 wt% in Atrush-1 well to 3.97-4.39 wt% in Mangesh-1 well and 4.85-8.5 wt% in Shaikhan-8well (Table 1).Hydrogen index (HI) values in the three studied boreholes are too high ranging between 468-713 mg HC/g TOC. In contrast, values of oxygen index (OI) are too low (8-51 mg CO2/g TOC). The average Tmax value of Chia Gara Formation is 434.7 ∘C. The average potential product value (GP) decreases from 49.81 mg HC/g TOC in Shaikhan-8 well to 27.92 and 11.0 mg HC/g TOC in Mangesh-1 and Atrush- 1wells respectively with the average production index (PI) value is 0.06. Production index values indicate the oil generative potential, but at low level to early mature stages.
Pyrolysis results of Chia Gara Formation in the studied wells
Wells | Depth (m) | TOC (Wt %) | S1(mg/g) | S2(mg/g) | S3(mg/g) | Tmax (°C) | HI (S2/TOC*100) | OI (S3/TOC*100) | GP (s1+s2) | PI s1/(s1+s2) |
---|---|---|---|---|---|---|---|---|---|---|
AT-1 | 945 | 1.26 | 0.39 | 7.09 | 0.34 | 431 | 563 | 27 | 7.48 | 0.05 |
955 | 1.14 | 0.10 | 6.58 | 0.58 | 433 | 577 | 51 | 6.68 | 0.01 | |
975 | 1.24 | 0.10 | 5.89 | 0.39 | 434 | 468 | 31 | 5.99 | 0.02 | |
985 | 1.63 | 0.49 | 10.02 | 0.34 | 434 | 615 | 21 | 10.51 | 0.05 | |
1000 | 2.51 | 0.81 | 14.52 | 0.37 | 436 | 578 | 15 | 15.33 | 0.05 | |
1015 | 1.50 | 0.76 | 9.37 | 0.38 | 435 | 625 | 25 | 10.13 | 0.08 | |
1035 | 1.50 | 0.84 | 10.01 | 0.36 | 433 | 667 | 24 | 10.85 | 0.08 | |
1060 | 2.11 | 0.83 | 11.61 | 0.40 | 436 | 550 | 19 | 12.44 | 0.07 | |
1100 | 3.73 | 1.32 | 18.29 | 0.45 | 437 | 544 | 12 | 19.61 | 0.07 | |
Sh-8 | 1333 | 6.81 | 2.76 | 44.92 | 1.00 | 434 | 660 | 15 | 47.68 | 0.06 |
1345 | 6.94 | 2.66 | 46.92 | 0.92 | 435 | 676 | 13 | 49.58 | 0.05 | |
1360 | 7.04 | 2.65 | 49.40 | 1.07 | 436 | 702 | 15 | 52.05 | 0.05 | |
1372 | 6.24 | 2.19 | 43.71 | 1.11 | 436 | 700 | 18 | 45.90 | 0.05 | |
1384 | 7.47 | 2.53 | 52.58 | 0.83 | 437 | 704 | 11 | 55.11 | 0.05 | |
1396 | 7.37 | 2.68 | 52.40 | 0.87 | 436 | 711 | 12 | 55.08 | 0.05 | |
1408 | 8.50 | 2.91 | 60.00 | 0.84 | 436 | 706 | 10 | 62.91 | 0.05 | |
1420 | 7.11 | 2.55 | 43.33 | 2.15 | 431 | 609 | 30 | 45.88 | 0.06 | |
1432 | 4.89 | 2.44 | 29.22 | 1.16 | 431 | 598 | 24 | 31.66 | 0.08 | |
1444 | 4.85 | 2.12 | 34.29 | 0.57 | 437 | 707 | 12 | 36.41 | 0.06 | |
1456 | 8.23 | 2.48 | 56.21 | 0.69 | 435 | 683 | 8 | 58.69 | 0.04 | |
1468 | 8.28 | 2.40 | 56.58 | 0.75 | 437 | 683 | 9 | 58.98 | 0.04 | |
1480 | 6.54 | 2.15 | 45.46 | 0.56 | 437 | 695 | 9 | 47.61 | 0.05 | |
Mang-1 | 2186 | 3.97 | 4.00 | 18.44 | 1.75 | 436 | 464 | 44 | 22.45 | 0.18 |
2198 | 3.91 | 2.38 | 19.44 | 1.95 | 439 | 497 | 50 | 21.82 | 0.11 | |
2213 | 3.84 | 2.23 | 27.27 | 0.64 | 434 | 710 | 17 | 29.50 | 0.08 | |
2225 | 4.00 | 2.63 | 28.28 | 0.81 | 433 | 707 | 20 | 30.91 | 0.09 | |
2240 | 3.95 | 2.23 | 26.28 | 0.89 | 433 | 665 | 23 | 28.51 | 0.08 | |
2255 | 3.79 | 2.21 | 27.01 | 0.73 | 432 | 713 | 19 | 29.22 | 0.08 | |
2270 | 4.39 | 2.48 | 30.00 | 0.72 | 435 | 683 | 16 | 32.48 | 0.08 | |
2280 | 3.94 | 2.24 | 26.30 | 0.88 | 432 | 668 | 22 | 28.54 | 0.08 |
TOC: Total Organic Carbon, wt.%; S1: Volatile hydrocarbon (HC) content, mg HC/g rock; S2: Remaining HC generative potential, mg HC/g rock; S3: Carbon dioxide content, mg CO2 / g rock, Tmax: Maximum Temperature. HI: Hydrogen Index = S2 /TOC*100 mgHC/g TOC; OI: Oxygen Index= S3/TOC*100, mgCO2/g TOC; GP: Genetic Potential= (S1+S2); PI: Production Index= [S1/(S1+S2)]
4.2 Molecular composition and biomarker assemblages
4.2.1 Isoprenoids / n-alkanes (m/z 85) distribution
According to GC/MS analysis results, n-alkanes range from C14 to C35 in the analyzed samples. The distribution of n-alkanes of studied samples contains a much higher concentration of short molecular weight components than the long molecular weight n-alkanes (Fig. 2). The long-chain homologues are known to be derived from higher plant waxes [6]. Carbon preference index (CPI) is obtained by dividing the sum of the odd carbon-numbered alkanes (C25-C33) by the sum of the even carbon numbered alkanes (C24-C34) [7], and the observed values are in between 0.98-1.09, except in one sample,which is 0.89 and this is low as compared to the other samples. The isoprenoid hydrocarbons pristane (Pr) and phytane (Ph) are present in all analyzed samples. Generally Chia Gara Formation has low Pr/Ph ratios ranging from 0.39 to 0.96. Pr/n-C17 and Ph/n-C18 ratios range from 0.48 to 1.13 and 0.76 to 1.59 respectively (Table 2). These values are used to determine the type of organic matter and deposition conditions for the studied samples.

Molecular compositions, Isoprenoids/n-alkanes (m/z 85) and Biomarker assemblages, Steranes (m/z 217) and Terpanes (m/z 191) distribution of Chia Gara Formation in the studied wells
Gas Chromatography/ mass spectrometer results of Chia Gara Formation in the studied wells
Isoprenoid /n-alkane | Sterane | Hopane | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wells | Depths (m) | Pr/Ph | Pr/n-C17 | Pr/n-C18 | CPI | C27% | C28% | C29% | 20S/(20S+20R) C29 | ββ/(ββ+αα)C29 | C3122R/ C30 Hopane | C29norhopane/C30 Hopane | Ts / (Ts+Tm) | Mortane index C29 | GI | 22S/(22R + 22S) C32 |
AT-1 | 955 | 0.45 | 0.48 | 1.04 | 0.89 | 43 | 19 | 38 | 0.48 | 0.61 | 0.49 | 0.65 | 0.39 | 0.07 | 0.09 | 0.61 |
985 | 0.73 | 0.67 | 0.76 | 0.99 | 37 | 18 | 45 | 0.42 | 0.59 | 0.43 | 1.15 | 0.36 | 0.08 | 0.12 | 0.59 | |
1060 | 0.77 | 0.95 | 1.59 | 1.00 | 35 | 17 | 48 | 0.39 | 0.60 | 0.47 | 1.05 | 0.37 | 0.07 | 0.12 | 0.58 | |
1100 | 0.42 | 0.64 | 1.35 | 0.98 | 43 | 17 | 40 | 0.45 | 0.60 | 0.47 | 0.60 | 0.41 | 0.08 | 0.11 | 0.59 | |
1345 | 0.47 | 0.75 | 1.30 | 1.01 | 35 | 17 | 48 | 0.40 | 0.55 | 0.36 | 1.06 | 0.33 | 0.06 | 0.11 | 0.60 | |
Sh-8 | 1408 | 0.39 | 0.82 | 0.92 | 1.03 | 37 | 15 | 48 | 0.41 | 0.57 | 0.38 | 1.06 | 0.34 | 0.06 | 0.12 | 0.59 |
1456 | 0.63 | 0.69 | 0.79 | 1.02 | 33 | 17 | 50 | 0.41 | 0.55 | 0.31 | 1.00 | 0.40 | 0.05 | 0.16 | 0.60 | |
Mang-1 | 2198 | 0.70 | 1.13 | 1.12 | 1.08 | 26 | 18 | 56 | 0.32 | 0.56 | 0.38 | 1.24 | 0.42 | 0.12 | 0.18 | 0.59 |
2255 | 0.96 | 0.61 | 0.94 | 1.09 | 27 | 19 | 54 | 0.37 | 0.55 | 0.43 | 1.25 | 0.43 | 0.11 | 0.19 | 0.58 |
Pr: Pristane
Ph: Phytane
CPI: Carbon preference index= ½(C25:C33/C24:C32) + (C25:C33/C26:C34)
GI: Gammacerane index = (Gammacerane/Gammacerane+ C30 αβ)
Moretane Index=C30 moretane/C30 hopane
Ts: 18α(Η),21β(H)-22,29,30-trisnorneohopane, Ts, (C27)
Tm:17α(Η),21β(H)-22,29,30-trisnorhopane, Tm, (C27)
C32 17α(H),21β(H)-30,31-bishomohopane (22S)
C32 17α(H),21β(H)-30,31-bishomohopane (22R)
C29 5α(H),14α(H),17α(H) sterane (20S)
C29 5α(H),14β(H),17β(H) sterane (20R)
C29 5α(H),14β(H),17β(H) sterane (20S)
C29 5α(H),14α(H),17α(H) sterane (20R)
4.2.2 Steranes (m/z 217) distribution
Steranes are a class of tetracyclic, saturated biomarkers constructed from six isoprene subunits (nearly C30) [8]. They originate from sterols, which are important membrane and hormone components in eukaryotic organisms. The most commonly used steranes are in the range of C26-C30 and are detected using mass/charge 217 mass chromatograms [8]. The regular steranes (C27, C28 and C29) are found in all samples. The samples have high percentage value of C29 and C27, especially in Atrush-1 and Shaikhan-8 wells and their abundances are ordered as C29 >C27>C28(Fig. 2). The dominance of C29 and C27 homologs indicates an open marine organic matter input [9, 10, 11].The values of 20S/(20S+20R) C29 and ββ/ (ββ+αα) C29 vary from 0.32 to 0.48 and 0.55-0.61 with an average value of 0.40 and 0.58 respectively; these two parameters are used to determine maturation level of Chia Gara Formation.
4.2.3 Terpanes (m/z 191) distribution
The detectable hopanes ranged from C27 to C35 in all of the hopane bearing samples. The C2917α,21β(H)-30-norhopane and C3017α,21β(H)-hopane were the most abundant. The biomarkers parameters such as high C29/C30 17α (H) hopane ratio can be considered as the evidence of carbonate-rich source rocks [12].In this study the relative C30 nor-hopane abundance is typically more than C30 hopane (Fig. 2). The values of C35/C34 and C29/C30 hopane are more than 0.8 and 0.6 respectively. Most oils from marine carbonate source rocks show high C35/C34 hopane (>0.8) combined with high C29/C30 hopane (>0.6) (Table 2) [8]. The analyzed samples contain detectable amounts of C31 hopanes. The gammacerane index is calculated using the peaks of gammacerance and C30αβ hopane identified on m/z 191. This parameter is very specific for the hypersaline environment [13]. The values of gammacerane index ranges from 0.09 to 0.19 (low value). The ratio of 17β,21α(H)-moretanes to their corresponding 17α,21β(H)-hopanes decreases with increasing maturity from 0.8 in immature bitumens to <0.15 in mature source rocks and oils to a minimum of 0.05 [14, 15]. Biomarker maturity ratio 22S/(22S +22R) describing the conversion of the biological 22R to the geological 22S configuration of homohopane molecules was calculated. Typically, this ratio is calculated for the C32 17α-homohopanes,which varies from 0.58 to 0.61 (Table 2). The Ts/ (Ts+Tm) ratio (sometimes reported as Ts/Tm) is extensively applied in petroleum geochemistry as maturity parameter [16]. It is calculated for all samples in Chia Gara Formation which ranging between 0.330.43.
5 Discussions
5.1 Quantity of organic matter
The quantity of organic matter is usually expressed as Total Organic Carbon [13]. The Total Organic Carbon (TOC, wt%) of a sedimentary rock is defined as the weight percentage of organic carbon in the rock [17]. Typical oil-prone, marine source rocks contain 2-5 wt% of TOC. Chia Gara Formation in Duhok basin is organically rich showingTOC values ranging between 1.14-3.73 and 3.79-4.39 wt% in Atrush-1 and Mangesh-1 wells respectively. The high TOC content is mainly due to good preservation of organic matter in marine environment under reducing conditions. Similar TOC values within Chia Gara Formation have been recorded in Shorish-1well in the Erbil Governorate [18], but strata in the range of 5-20 % are known to occur in high yield petroleum system [19] which is the case in Shaikhan-8 well that shows values of TOC between 4.85-8.5 wt% (Fig. 3). Same high TOC content with values of more than 5% has been recorded in Hr-1, Bj-1 and Tk-3 wells in the Kirkuk and Tkrit Governorates in northern Iraq [20]. In Atrush-1 well, the values of S1, S2, and TOC are low compressive in contrast to the other sections, the lithological compositions were directly affected the organic matter richness of the formation, in Shaikhan-8 well it consists of alternation between very thin black shale and argillaceous limestone, whereas in Mangesh-1 well the formation is mainly composed of argillaceous limestone and little limestone, while in Atrush-1 well the lower part is argillaceous limestone and limestone increases towards the upper part of the formation (Fig. 3). In addition, the configuration of the basin can affect the distribution of the organic matter throughout the basin. It is thought that towards the center of the basin, the percentage of the TOC is possibly increases. This configuration of the basin may show that the organic productivity in the area around the Atrush-1 is low in comparison to the other two localities (The Atrush area might be away from the center of the basin in comparison to Shaikhan and Sarsang areas).

Total Organic Carbon (TOC wt%) of Chia Gara Formation in the studied wells
5.2 Quality of organic matter
The type of organic matters controls the type of the kerogen formed later, which in turn controls the type of hydrocarbon generated subsequently. This means some kerogens are only oil prone (type I), some are only gas prone (type III), and others are oil, gas-prone (type II) [21]. To determine the organic matter type of Chia Gara Formation S2 vs. TOC [22] and HI vs. Tmax kerogen classification diagrams were manipulated [23]. In both diagrams, samples of Chia Gara Formation are plotted in type II kerogen field (Figs. 4 and 5). Type II kerogen is from algae, spores, pollen and steam cuticles of land plants. On the other hand, the Pr/n-C17 vs. Ph/n-C18 diagram shows that the samples derived from Chia Gara Formation are marine algal which represented by type II kerogen (Fig. 6). Regionally most of the recent literatures claimed this type of kerogen (type II) for Chia Gara Formation in different parts of Iraq, in Shorish-1 well Erbil province [18]; in Kirkuk-109 (K109) well Kirkuk province [24, 25], in outcrop at Banik area in Duhok province [26]. This type of kerogen can be type II-S kerogen [27], because the most of the Jurassic source rocks in Iraq are commonly comprised of carbonates rather than pure shaly sediments. As published in literature sulfur content in type II kerogen is generally higher than in type I or type III kerogens and may be particularly high in sulfur-rich rocks. Type II-S kerogens are derived from marine carbonate environments. The reason for this is that clay-poor carbonate source rocks contain insufficient iron to utilize the available sulfide,much of which becomes incorporated into the kerogen network. The C29/C30 hopane ratios of the studied samples are relatively more than one in most of the analyzed samples (except two samples in well Atrush-1) which can confirm that the kerogen type II-S (from a carbonate source rock).

TOC vs. S2 showing type II kerogen of Chia Gara Formation in the studied wells

Tmax vs. HI showing type II kerogen and early mature-peak oil window of Chia Gara Formation in the studied wells

Phytane/n-C18 vs. pristane/n-C17 showing variation of organic matter type, thermal maturity and depositional environment of Chia Gara Formation in the studied wells
5.3 Depositional environment
The most widely used biomarker parameter for the assessment of redox (reducing and oxidizing) conditions during sediment accumulation is pristane/phytane ratio [28]. According to [8] Pr/Ph ratios substantially below unity can be taken as an indicator of petroleum origin and/or highly reducing depositional environments. Certain depositional environments and lithologies are associated with specific values of the Pr/Ph ratio [29]. Values less than 1 have been associated with marine carbonates, between 1 and 3 with marine shales, and larger than 3 with non-marine shales and coals [30]. In the current study the values of the Pr/Ph ratio are less than one (Table 2). This indicates that Chia Gara Formation was deposited under reducing environment and lithologically is associated with marine carbonate rocks [30]. The marine source of organic matter deposited under reducing conditions is also supported by the position of the samples in the plot of pristane/n-C17 versus phytane/n-C18 (Fig. 6). Although the low oxygen index (OI) values show that the formation was deposited under reducing conditions. Similar conclusions concerning the depositional environment of this formation have been recently reported by [20] in Hr-1, Bj-1 and Tk-3 wells northern Iraq. Regardless of thermal maturity, the values of carbon preference index (CPI) in all analyzed samples are around one and some of the values are less than this figure, this indicates marine and anoxic conditions. Samples of Chia Gara Formation are plotted in the open marine area on the C27%, C28%, and C29% regular steranes ternary diagram especially in Atrush-1 and Shaikhan-8 wells with few slides of the samples in the Mangesh well (Fig. 7) [9]. Gammacerane index varies between 0.09-0.19, no hypersaline condition of deposition for the initial organic matter within the analyzed samples has been detected, it could be assessed that the formation is deposited in anoxic basin (Fig. 8) [31].

Ternary diagram of C29%, C28%, C27% regular steranes showing marine depositional environment of Chia Gara Formation in the studied wells

Pristane/phytane (Pr/Ph) vs. Gammacerane Index (GI) showing anoxic condition of Chia Gara Formation in the studied wells
5.4 Thermal maturation
Maturity history of Chia Gara Formation is modeled by [32] in Hr-1 and Aj-12 wells, northern Iraq; the results indicate that the formation is thermally mature within the peak oil window. The thermal maturation level of Chia Gara Formation in the current study is deduced from the Tmax values. Tmax is the temperature at which the maximum amounts of S2 hydrocarbons will generate during rock-Eval pyrolysis. Tmax depends on the type of kerogen that presents in the source rock. Values between 430-450 ∘C indicate "oil window" condition (mature organic matter) [33]. In the studied oilfields, Chia Gara Formation is thermally mature source rock and ranges from early-mature to peak oil-generation window (Tmax values ranges between 431-439 ∘C) (Table 1, Fig. 5). In addition, Chia Gara Formation samples with Tmax values up to 430 ∘C have been detected
in outcrops in the northern Iraq [26, 34]. Also biomarker maturity parameters are used to determine the maturity level of the formation. The values of CPI in nine rock samples is close to one express mature sample [35]. Although, the concentration of the even carbon number is higher than odd carbon number, indicates that the organic matter in the samples of the formation is mature [36]. Isoprenoids/n-alkanes (Pr/n-C17 and Ph/n-C18) ratios provide valuable information on biodegradation, maturation and diagenetic conditions [8]. According to the values of the isoprenoid/ n-alkane, samples of the formation have not been affected by biodegradation process, and thermally they are mature (Fig. 6). This study determined the maturity by following the 20S/(20R +20S) C29 and ββ/(ββ+αα) C29 sterane values [37, 38]. According to these relationships, samples of Chia Gara Formation are located within the early mature to peak oil window (Fig. 9). The obtained data of the C29 Moretane index (17β21α norhopane/17α21β norhopane) are in the range (0.05-0.12) (Table 2) indicating mature source rocks [12]. Increasing Ts relative to the Ts/ (Ts + Tm) hopane ratios together with the decrease in the C29 Moretane index are shown in Figure 10. Equilibrium values for 20S/(20S+20R) C29 sterane ratios are in the range of 0.32-0.48, whereas equilibrium values for ββ/(ββ+αα) C29 sterane and 22S/(22S+ 22R) C32 homohopane ratios are 0.55-0.61 and 0.58-0.61 [12, 31]. These values indicate that the analyzed samples have at least reached the early stage of thermal maturity and peak oil window (Fig. 11).

Cross plot of 20S/(20S+20R) vs. ββS/ (ββS+ ααR) C29 steranes showing early mature- peak oil window of Chia Gara Formation in the studied wells

Cross plot of Ts/(Ts+Tm) vs. Moretane Index C29 showing maturity of Chia Gara Formation in the studied wells

Cross plot of (20S/20S+20R) C29 Sterane vs. 22S/(22S+22R) C32 Hopane showing maturity and potentiality of Chai Gara Formation in the studied wells
5.5 Hydrocarbon generation potential
The most important factor controlling the generation of oil and gas is the hydrogen content of the organic matter (OM), Genetic potential represents the amount of petroleum (oil and gas) that kerogen able to generate [39]. If the value of genetic potential is more than six, it can be considered as a good source rocks for evaluation but if the value is less than two, it is a poor source rock and cannot be evaluated [40]. Generation potential of the studied samples derived from Chia Gara Formation is more than six (Table 1) and this is an indicator of very good to excellent generation potential; in addition to, samples with TOC content greater than 1% with hydrogen index more than 300mg HC/g TOC and containing a significant amount of type II kerogen can generate oil [41], these properties are present in all analyzed samples, indicates that the formation is suitable for commercial hydrocarbon generation. Moreover, rock-Eval Tmax and the production index (PI) values indicate that most of the analysed samples are within the main stage of hydrocarbon generation (Fig. 12).

Plot of pyrolysis Tmax vs. production index (PI), showing the maturation and nature of the hydrocarbon products of Chia Gara source rock in the studied wells
6 Conclusions
The hydrocarbon genetic potential of Chia Gara Formation seemed to be dependent on TOC wt% and maturity in the tested sections, accordingly, all sections have good-excellent potential to generate oil due to high enough maturity level reached and excellent marine organic matter content.
Acknowledgement
We would like to express our sincere thanks and deep gratitude to Dr. Kamal Odisho, Mr. Muhamad Perioui at Soran University and Dr. Polla Khanaqa, Mr. Diyar Abdulqadir from Sulaimaniyah Governorate for running Rock-Eval Pyrolysis analysis.
Special thank goes to Dr. Stephen Bowden from University of Aberdeen/ UK, and Dr. Ayad Nuri Faqi from Soran University for their help and analyzing the samples by GC/MS instrument.
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This work is licensed under the Creative Commons Attribution 4.0 Public License.
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- Development of the Narva-Jõesuu beach, mineral composition of beach deposits and destruction of the pier, southeastern coast of the Gulf of Finland
- Selecting fracturing interval for the exploitation of tight oil reservoirs from logs: a case study
- A comprehensive scheme for lithological mapping using Sentinel-2A and ASTER GDEM in weathered and vegetated coastal zone, Southern China
- Sedimentary model of K-Successions Sandstones in H21 Area of Huizhou Depression, Pearl River Mouth Basin, South China Sea
- A non-uniform dip slip formula to calculate the coseismic deformation: Case study of Tohoku Mw9.0 Earthquake
- Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary
- The Impacts of Climate Change on Maximum Daily Discharge in the Payab Jamash Watershed, Iran
- Mass tourism in protected areas – underestimated threat? Polish National Parks case study
- Decadal variations of total organic carbon production in the inner-shelf of the South China Sea and East China Sea
- Hydrogeothermal potentials of Rogozna mountain and possibility of their valorization
- Postglacial talus slope development imaged by the ERT method: comparison of slopes from SW Spitsbergen, Norway and Tatra Mountains, Poland
- Seismotectonics of Malatya Fault, Eastern Turkey
- Investigating of soil features and landslide risk in Western-Atakent (İstanbul) using resistivity, MASW, Microtremor and boreholes methods
- Assessment of Aquifer Vulnerability Using Integrated Geophysical Approach in Weathered Terrains of South China
- An integrated analysis of mineralogical and microstructural characteristics and petrophysical properties of carbonate rocks in the lower Indus Basin, Pakistan
- Applicability of Hydrological Models for Flash Flood Simulation in Small Catchments of Hilly Area in China
- Heterogeneity analysis of shale reservoir based on multi-stage pumping data