Home Natural gas origin and accumulation of the Changxing–Feixianguan Formation in the Puguang area, China
Article Open Access

Natural gas origin and accumulation of the Changxing–Feixianguan Formation in the Puguang area, China

  • Songfeng Li EMAIL logo , Xiaoxia Liu , Peixin Zhang EMAIL logo and Yinan Zhao
Published/Copyright: January 21, 2025
Become an author with De Gruyter Brill

Abstract

Investigating the origin and accumulation of natural gas is crucial for investigating fields of gas and oil. This study can provide effective guidance for future strategic decisions. In this study, the Changxing–Feixianguan Formation gas reservoir in the Puguang area was employed as a case study. The gas source strata were evaluated through analysis of the geochemical characteristics of natural gas. The period of accumulation and reservoir type were identified by examining the inclusion and burial history characteristics. The results revealed that (1) the Changxing–Feixianguan Formation was a high-sulfur gas reservoir, primarily characterized by oil-type gas. Influenced by thermal sulfate reduction, it exhibited partial characteristics of a mixed gas; (2) the natural gas of the Changxing–Feixianguan Formation demonstrated a favorable biogenic relationship with the carbon isotope characteristics of the Longtan Formation and Maokou Formation kerogen, and its primary gas source was Permian source rock; and (3) the Changxing–Feixianguan Formation gas reservoir experienced three oil and gas charging events, namely, the Middle Triassic, Late Jurassic, and Late Cretaceous. Natural gas was primarily extracted from ancient reservoirs and has evolved into light oil, condensate gas, wet gas, and dry gas. These findings serve as a foundation for investigating the accumulation of natural gas within the Changxing–Feixianguan Formation in the Puguang area. In future natural gas exploration efforts, it is recommended to concentrate on identifying paleostructures that may have formed ancient oil reservoirs to enhance the precision of natural gas exploration.

1 Introduction

During the global energy transition from high carbon to low carbon, the natural gas industry is crucial for the harmonized progress of renewable energy sources. Therefore, it is necessary to further promote basic and consistent technical research on complicated gas deposits through technological innovation and integration to achieve critical discoveries in new fields and strata.

China is among the globally leading ten importers of natural gas. Most of its natural gas reserves are located in the western regions, particularly in Sichuan, Xinjiang, and Shaanxi. According to data released by the China Bureau of Statistics in 2022, the national natural gas production was 2,211 × 108 m³. Notably, Sichuan Province contributed significantly to national production, accounting for approximately one-fourth of the country’s total natural gas output, with a production of 561.2 × 108 m3.

The gas source field in Puguang is notable for being the largest marine-integrated high-sulfur gas field in China. Its exploration and development hold a unique position and play a crucial role in China’s energy development strategy [1,2]. The early exploration and development of the Puguang gas field have largely focused on marine strata [3,4,5,6]. In recent years, significant progress has been made in the exploration of continental strata [7,8]. Nevertheless, the gas field in that region remains the primary gas source for the national key project “Sichuan gas to the east,” with the marine strata of the Changxing–Feixianguan Formation serving as the main gas-producing strata for natural gas. However, as natural gas is increasingly explored and developed, there has been a decline in the success rate of drilling, and the understanding of the gas source and accumulation period remains unclear. The primary factors contributing to this disparity are insufficient geochemical data and absence of rigorous research methodologies, concerning neither the variability of an individual geochemical index nor the intricacies of geological conditions within the study region [9,10,11]. Therefore, it is crucial to conduct a comparative investigation of the accumulation period and sources of gas in the Changxing–Feixianguan Formation, as it holds significant guidance for future research in the Puguang area.

In this study, we conducted a thorough examination of 10 natural gas component samples, 12 natural gas carbon isotope samples, and 21 kerogen carbon isotope samples to explore the nature, origin, and relationship between the natural gas sources. Via investigating the consistency in temperature and salinity profiles of 12 inclusion samples, combined with the burial history analyses, we successfully determined the accumulation period of natural gas.

2 Geological settings

The gas resource field in Puguang is situated within Xuanhan and Daxian counties in Dazhou City, Sichuan Province. Geographically, it is located in the northeastern part of the Sichuan Basin, north of the front fold belt within the Dabashan thrust nappe structural belt, and southern region of the gentle fold belt of the central Sichuan area. The field has primarily experienced the Indosinian, Yanshan, and Himalayan movements (Figure 1) [12,13]. During the Paleozoic and Mesozoic eras, numerous sets of source rocks, such as carbonate rocks, argillaceous rocks, and coal, developed in the area. These source strata overlap vertically and cross each other in a plane, resulting in a complex oil and gas system in the region. Consequently, the target energy types may be interlaced and mixed within the formation [14,15,16]. Additionally, due to the presence of multiple periods of hydrocarbon generation, reservoir formation, adjustment, and transformation, it is extremely challenging to trace the origin of the gas (Figure 2) [12,13].

Figure 1 
               Tectonic zoning of the Sichuan Basin [12,13].
Figure 1

Tectonic zoning of the Sichuan Basin [12,13].

Figure 2 
               Stratigraphic column section of the Eastern Sichuan Basin [12,13], where PL represents the Penglai Formation; SN represents the Suining Formation; SXM represents the Shaximiao Formation; ZLJ represents the Ziliujing Formation; XJH represents the Xujiahe Formation; LKP refers to the Leikoupo Formation; JLJ refers to the Jialingjiang Formation; FXG refers to the Feixianguan Formation; CX denotes the Changxing Formation; LT denotes the Longtan Formation; MK denotes the aokou Formation; QX denotes the Qixia Formation; HL denotes the Huanglong Formation; HJD signifies the Hanjiadian Formation; XHB signifies the Xiaoheba Formation; LMX signifies the Longmaxi Formation; WF represents the Wufeng Formation; LX represents the Linxiang Formation; BT represents the Baota Formation; SZP represents the Shizipu Formation; MT denotes the Meitan Formation; HHY denotes the Honghuayuan Formation; TZ denotes the Tongzi Formation; XXC denotes the Xixiangchi Formation; LWM signifies the Longwangmiao Formation; CLP refers to the Canglangpu Formation; QZS refers to the Qiongzhusi Formation; DY denotes the Dengying Formation; and DST represents the Doushantuo Formation.
Figure 2

Stratigraphic column section of the Eastern Sichuan Basin [12,13], where PL represents the Penglai Formation; SN represents the Suining Formation; SXM represents the Shaximiao Formation; ZLJ represents the Ziliujing Formation; XJH represents the Xujiahe Formation; LKP refers to the Leikoupo Formation; JLJ refers to the Jialingjiang Formation; FXG refers to the Feixianguan Formation; CX denotes the Changxing Formation; LT denotes the Longtan Formation; MK denotes the aokou Formation; QX denotes the Qixia Formation; HL denotes the Huanglong Formation; HJD signifies the Hanjiadian Formation; XHB signifies the Xiaoheba Formation; LMX signifies the Longmaxi Formation; WF represents the Wufeng Formation; LX represents the Linxiang Formation; BT represents the Baota Formation; SZP represents the Shizipu Formation; MT denotes the Meitan Formation; HHY denotes the Honghuayuan Formation; TZ denotes the Tongzi Formation; XXC denotes the Xixiangchi Formation; LWM signifies the Longwangmiao Formation; CLP refers to the Canglangpu Formation; QZS refers to the Qiongzhusi Formation; DY denotes the Dengying Formation; and DST represents the Doushantuo Formation.

3 Methods

The chemical attributes of natural gas resources are critical for studying their origin and source and present a comprehensive scientific underpinning for the creation and storage of hydrocarbons [17,18,19,20,21]. Notably, the carbon isotope of natural gas is the most significant index of its genetic class. In general, the carbon isotope of methane (δ 13 C 1) in natural gas increases with increasing thermal evolution, which makes it a better index to measure the maturity of natural gas. The ethane carbon isotope (δ 13 C 2) of natural gas is typically close to the carbon isotope composition of the parent material, making it a valuable index for determining the type of gas-source rock. Therefore, δ 13 C 1 and δ 13 C 2 can be utilized to effectively identify the genetic type of natural gas [22,23].

The study of 10 natural gas component samples, 12 natural gas carbon isotope samples, and 21 kerogen carbon isotope samples facilitated the discussion of the types, genesis, and gas source relationship of natural gas. The constituents of the natural gas were analyzed using a gas chromatograph of SCION 456-GC manufactured by Tianmei Yituo from the USA, where high-purity helium was utilized as the carrier gas. The examination was performed using a double thermal conductivity detector. Finnigan MAT-252 MS was utilized for testing the isotopic compositions of carbon and hydrogen within natural gas, which was originally manufactured by Finnigan Mat (Germany). We standardized the carbon and hydrogen concentrations of each constituent to international benchmarks (Vienna Pee Dee Belemnite for carbon and Vienna standard mean ocean water for hydrogen) with a standard deviation of 3‰.

Fluid inclusions are rich in the information of oil and gas accumulation and migration. One of the most significant aspects of fluid inclusion research is the homogenization temperature of the inclusions [24]. By measuring the homogenization temperature of primary or secondary inclusions in sandstone strata, it is possible to trace the paleogeothermal temperature and hydrocarbon-filling period of the host strata [25]. To analyze the inclusions in the multi-period accumulation process in superimposed basins, it is necessary to comprehensively understand the statistical distribution of the homogenization temperature of inclusions and the regularity of the peak temperature distribution integrated with the constraints of the tectonic thermal evolution history. This is necessary for objectively understanding the significance of the peak temperature of inclusions as well as the corresponding oil and gas-filling period and paleo-geothermal environment.

Based on the examination of the homogenization temperature and salinity characteristics of 12 inclusion samples extracted from well PG2, combined with an analysis of the burial history, a period of natural gas accumulation was established. The inclusion samples were evaluated for homogenization temperature and salinity using a hot and cold platform that encompassed a minimum temperature of −100°C and a maximum temperature of 350°C, as well as a polarizing microscope equipped with a long-focus objective. For accurate determination of the uniform temperature, the heating rate should be carefully controlled, with a suggested range of 1–3°C/min when the inclusions approach homogenization. In the process of salinity determination, it was crucial to consider initial dissolution and freezing point temperatures.

4 Results

4.1 Geochemical characteristics of natural gas

4.1.1 Characteristics of natural gas compositions

The analysis of ten natural gas compositions from the Changxing–Feixianguan Formation in the Puguang area indicated that the methane content was quite high, with an average of approximately 76%. Furthermore, approximately 60% of the samples exhibited H2S contents greater than 5%, indicating the presence of high-sulfur gas reservoir characteristics (Table 1).

Table 1

Composition of the natural gas in the Changxing–Feixianguan Formation

Number Well Horizon Compositions (%)
CH4 C2H6 CO2 H2S
1 PG2 T1f 75.90 0.22 7.83 15.45
2 PG2 P2ch 75.03 0.33 8.73 15.41
3 MB6 T1f 72.31 0.02 10.14 16.16
4 MB3 P2ch 81.47 0.09 4.18 12.67
5 MB2 T1f 52.68 0.21 30.32 0.00
6 DW1 P2ch-T1f 70.05 0.03 11.78 12.84
7 LJ1 T1f 62.39 0.02 27.92 1.40
8 LJ1 P2ch 76.18 0.05 4.16 19.01
9 XQX1 T1f 99.53 0.30 0.10 0.00
10 M1 P2ch 93.97 0.40 5.30 0.00

4.1.2 Characteristics of natural gas carbon isotopes

The δ 13 C 1 values of natural gas from the Changxing–Feixianguan Formation in the Puguang area were predominantly between −33.18 and −30.02‰, with an average of −31.11‰. Moreover, the δ 13 C 2 values were mainly concentrated between −33.83 and −27.67‰, with an average of −30.40‰ (Table 2). The values of −27.5 and −29‰ were considered the boundaries for distinguishing between coal-derived gas, mixed gas, and oil-type gas, and the maturity stage was classified based on different δ 13 C 1 values. The natural gas from the Changxing–Feixianguan Formation primarily consisted of oil-type gas and partly mixed gas, both of which are in the over-mature stage (Figure 3).

Table 2

δ 13 C 1 and δ 13 C 2 values of the natural gas in the Changxing–Feixianguan Formation

Number Well Horizon δ 13 C 1 (‰) δ 13 C 2 (‰)
1 CY83 T1f −30.93 −33.83
2 CY84 T1f −32.26 −31.24
3 CY84 T1f −31.65 −31.19
4 CY84 P2ch −30.02 −31.49
5 CY84 P2ch −30.67 −28.9
6 CY84 P2ch −30.43 −30.26
7 MB2 T1f −33.18 −32.25
8 PG2 T1f −30.93 −28.51
9 PG2 T1f −30.49 −29.07
10 PG2 T1f −30.96 −28.81
11 PG2 P2ch −30.05 −27.67
12 PG9 T1f −31.8 −31.67
Figure 3 
                     Genetic types of the natural gas in the Changxing–Feixianguan Formation.
Figure 3

Genetic types of the natural gas in the Changxing–Feixianguan Formation.

4.1.3 Characteristics of kerogen carbon isotopes

The kerogen carbon isotope of the source rocks served as a crucial indicator of the gas-source correlation. The δ 13 C values of the Longtan Formation in the Puguang area, which were derived from kerogen, were predominantly between −28.65 and −26.33‰, with an average of −27.57‰. Similarly, the δ 13 C values of the Maokou Formation were primarily between −30.35 and −26.57‰, with a mean of −27.92‰ (Table 3).

Table 3

δ 13 C values of the kerogen in the Longtan and Maokou Formations

Number Well Horizon δ 13 C (‰)
1 MB3 P2l −28.56
2 MB3 P2l −28.18
3 MB3 P2l −27.84
4 MB3 P2l −28.18
5 MB3 P2l −26.33
6 MB3 P2l −26.5
7 PG5 P2l −28.65
8 PG5 P2l −28.16
9 PG5 P2l −27.48
10 PG5 P2l −27.49
11 PG5 P2l −26.67
12 PG5 P2l −26.82
13 QX3 P1m −26.73
14 QX3 P1m −26.57
15 QX3 P1m −29.91
16 QX3 P1m −28.15
17 QX3 P1m −27.21
18 QX3 P1m −30.35
19 QX3 P1m −27.7
20 QX3 P1m −27.15
21 QX3 P1m −27.53

4.2 Characteristics of inclusion

The homogenization temperature of inclusions typically represents the minimum temperature at which inclusions are trapped, i.e., the temperature at which hydrocarbons migrate into the reservoir, and the peak temperature denotes the peak period of the secondary migration of oil and gas [26,27]. As an illustration, examining the Feixianguan Formation through the analysis of 12 inclusion samples from PG2 well revealed a wide range of homogenization temperatures, spanning from 95 to 215°C (Figure 4), with two evident primary peaks. The first principal peak temperature was between 105 and 115°C, with an average of 110°C, whereas the second primary peak temperature laid between 145 and 155°C, with an average of 150°C. Additionally, there was a third notable peak temperature that spanned from 185 to 195°C, with an average of 190°C.

Figure 4 
                  Homogenization temperature of the inclusion in the Feixianguan Formation for the PG2 well.
Figure 4

Homogenization temperature of the inclusion in the Feixianguan Formation for the PG2 well.

Based on the phase characteristics of the inclusions observed under a microscope, it was preliminarily determined that there were three periods of hydrocarbon fluid injection in the inclusions. The first-period inclusions were primarily identified in early fractured calcite or granular sparry calcite (Figure 5a), which were either liquid or solid (asphalt inclusions) with irregular shapes. The homogenization temperature of these inclusions ranged from 95 to 130°C, while their frequency value was high, and the main peak was noticeable at approximately 110°C. The second-period inclusions mainly occurred in late-period continuous-crystal calcite, calcite veins, and cave quartz crystals (Figure 5b). These inclusions were primarily gas–liquid two-phase inclusions, and they exhibited various shapes, such as square, rectangular, round, oval, and long oval. The homogenization temperature was within the range of 130–170°C, during which time the frequency attained its highest value, and the primary peak was evident at approximately 150°C. The third-period inclusions were primarily observed in calcite veins and cave quartz crystals (Figure 5c). These inclusions were predominantly of the gas or gas–liquid two-phase variety and were distributed in elongated ellipses, circles, rectangles, and irregular shapes. The homogenization temperature for this phase was between 170 and 215°C, with the primary peak evident at approximately 190°C.

Figure 5 
                  Characteristics of the inclusions in the Feixianguan Formation from the PG2 well.  (a) First period, (b) second period, and (c) third period.
Figure 5

Characteristics of the inclusions in the Feixianguan Formation from the PG2 well. (a) First period, (b) second period, and (c) third period.

The main basis for hydrocarbon accumulation analysis is the salinity of inclusions, such as the homogenization temperature. The salinity and homogenization temperature characteristics of the inclusions can be mutually confirmed [28,29]. The salinity characteristics of 12 fluid inclusion samples from PG2 well were consistent with the homogenization temperature characteristics. Specifically, the NaCl mass fraction of the first-phase inclusions was between 12.9 and 13.3%, with a relatively concentrated distribution. The NaCl mass fraction of the second-period inclusions was relatively wide, mainly between 5.32 and 9.84%. The NaCl mass fraction of the third-period brine inclusions was concentrated between 11.1 and 11.7%.

5 Discussion

5.1 Natural gas types and origin

The natural gas present in the Changxing–Feixianguan Formation of the Puguang area was primarily a high-sulfur gas reservoir, which was characterized by oil-type gas and partly mixed gas. The occurrence of mixed gases may be attributed to the thermochemical sulfate reaction (TSR). Underground oil and gas can crack owing to increased geothermal temperature and undergo redox reactions with sulfate to produce H2S, calcite, and new organic sulfur compounds, resulting in a high sulfur content in the gas reservoir of the Changxing–Feixianguan Formation in the Puguang area [30].

5.2 Analysis of gas source

Based on the characteristics of the δ 13 C 1 and δ 13 C 2 averages for the specific energy in Puguang, Jiannan, Tieshan, and other regions in northeastern Sichuan, the δ 13 C 2 of the Xujiahe Formation was notably heavier, indicating that it was coal-formed gas. Conversely, the natural gas present in other strata was predominantly of oil-formed origin. However, the natural gas found in other strata appeared to be oil-formed gas. However, the δ 13 C 1 and δ 13 C 2 characteristics of the Changxing–Feixianguan, Longtan, and Maokou formations were relatively similar, suggesting homologous natural gas. The similar characteristics of δ 13 C 1 and δ 13 C 2 in the Longmaxi Formation and Carboniferous strata may also indicate homologous natural gas (Figure 6). The natural gas in the Changxing–Feixianguan Formation and Xujiahe Formation was believed to have distinct origins, as their compositions differed. Despite sharing similarities with the natural gas of the Longmaxi Formation and Carboniferous strata, the gas of the Changxing–Feixianguan Formation exhibited characteristics of block aggregation. Consequently, it was unlikely that the specific gas in the Changxing–Feixianguan Formation originated from the strata below the Permian. If this were the case, its carbon isotope characteristics would remain consistent.

Figure 6 
                  Origin of the natural gas in the northeast of Sichuan Basin.
Figure 6

Origin of the natural gas in the northeast of Sichuan Basin.

A comparison of the δ 13 C 2 characteristics of natural gas with the kerogen carbon isotope (δ 13 C) characteristics of the source rocks can serve as an effective means of identifying the source of natural gas. An extensive body of analytical data indicated that the δ 13 C 2 of natural gas was typically 1–3‰ lighter than that of the source rock kerogen and δ 13 C, and natural gas and source rock kerogen within this range were homologous [31]. When conducting gas source correlation, the δ 13 C 2 of natural gas can be compared with kerogen δ 13 C after adding an average of 1.5‰. The δ 13 C 2 of natural gas in the Changxing–Feixianguan Formation in the Puguang area ranged from −33.83 to −27.67‰, with an average of −30.3‰ (based on 12 samples). The δ 13 C of kerogen in the Longtan Formation ranged from −28.65 to −26.33‰, with an average of −27.57‰ (based on 12 samples). The δ 13 C of kerogen in the Maokou Formation ranged from −30.35 to −26.57‰, averaging at −27.92‰ (based on nine samples). The comparative analysis indicated that the natural gas in the Changxing–Feixianguan Formation demonstrated an excellent biogenic relationship with kerogen in the Longtan and Maokou Formations (Figure 7).

Figure 7 
                  Gas source comparison in the Puguang area.
Figure 7

Gas source comparison in the Puguang area.

5.3 Accumulation analysis

Currently, researchers typically identify the formation period of inclusions and the corresponding oil and gas-filling period by analyzing the characteristics of brine inclusions, such as occurrence, fluorescence color, and homogenization temperature, as well as by considering the diagenesis period. However, the temperature recorded by inclusions may have a normal change interval. Therefore, to conduct an inclusive analysis of the multiperiod accumulation process in superimposed basins, it is imperative to have a comprehensive understanding of the statistical distribution of the homogeneous temperature of the inclusions and the regularity of the peak temperature distribution combined with the constraints of the tectonic thermal evolution history. This can objectively comprehend the significance of the peak temperature of inclusions as well as the corresponding oil and gas-filling periods and paleo-geothermal environments.

The homogenization temperature and salinity characteristics of the 12 inclusion samples from well PG2 indicate that in Feixianguan Formation, the reservoir of gas has experienced three cycles of oil and gas filling, making it a multistage oil and gas reservoir. Through a burial history analysis of well PG2, it was inferred that these three cycles of gas and oil filling occurred during the Middle Triassic, Late Jurassic, and Late Cretaceous periods (Figure 8). Both the Feixianguan and Changxing Formations were reef-bank facies gas reservoirs with similar accumulation characteristics, and they have experienced three cycles of oil and gas filling. The gas reservoir within the Changxing–Feixianguan Formation exhibited low maturity in the mid-Triassic, corresponding to an early maturity period, and was primarily composed of light oil reservoirs. In the Late Jurassic, maturity increased and advanced to the late maturity period, characterized by both light oil and condensate gas reservoirs. By the Late Cretaceous, the formation had reached a near-maximum burial depth in the area and entered the over-mature period, primarily comprising wet gas and dry gas reservoirs (Table 4). The nature of the gas reservoir indicated that the natural gas of the Changxing–Feixianguan Formation was primarily derived from the cracking of ancient reservoirs and has undergone the evolutionary processes of light oil, condensate gas, wet gas, and dry gas.

Figure 8 
                  Gas reservoir accumulation period in the Feixianguan Formation for the PG2 well.
Figure 8

Gas reservoir accumulation period in the Feixianguan Formation for the PG2 well.

Table 4

Analysis of the gas reservoir in the Feixianguan Formation for the PG2 well

Period of homogenization temperature (℃) Average of homogenization temperature (℃) Inclusion type Color and shape Salinity (%) Reservoir forming time Reservoir type
100–120 110 Liquid, solid Irregular, light blue fluorescence 12.86–13.30 Mid-Triassic Light oil reservoir
140–160 150 Mainly gas‒liquid two phase, followed by liquid phase Square, rectangle, circle, ellipse, long ellipse 5.32–9.84 Late Jurassic Reservoir of light oil and condensate gas
170–210 190 Mainly gas‒liquid two phase, followed by gas phase Long oval, round, rectangular 11.10–11.70 Late Cretaceous Reservoir of wet and dry gases

The Changxing–Feixianguan Formation gas reservoir exhibited favorable conditions for a source–reservoir–cap assemblage. The Longtan Formation source rocks were spatially stable and could yield substantial quantities of oil and gas, with a maximum oil generation intensity of 42 × 108 m3/km2 [32]. The Changxing–Feixianguan Formation comprised high-quality reef- and shoal-facies dolomite reservoirs [33] and formed multiple structural–lithologic composite traps over the paleo-uplift [34]. The Jialingjiang–Leikoupo Formation thick gypsum–salt layer functioned as a regional cap rock [34]. The regional faults connected the source rocks of the Longtan Formation to the reservoirs of the Changxing–Feixianguan Formation, but did not extend upward to cut the cap rocks of the Jialingjiang–Leikoupo Formation, thereby preserving the structural–lithologic composite trap integrity [35]. Hence, the exploration of natural gas in the Changxing–Feixianguan Formation of the Puguang area should prioritize the location of ancient structures that may have formed paleo-reservoirs and conduct fine characterization and interpretation.

6 Conclusions

  1. The Changxing–Feixianguan Formation was a reservoir of high-sulfur natural gas. The values of δ 13 C 1 for this gas were primarily between −33.18 and −30.02‰, while the values of δ 13 C 2 were primarily between −33.83 and −27.67‰. This gas was primarily of the oil-formed variety, which was affected by the TSR and partially by the mixed-gas variety.

  2. The carbon isotope ratios of δ 13 C 1 and δ 13 C 2 in natural gas from the Changxing–Feixianguan, Longtan, and Maokou Formations were remarkably similar. In particular, the δ 13 C 2 value of natural gas from the Changxing–Feixianguan Formation exhibited a strong correlation with the kerogen δ 13 C characteristics of the Longtan and Maokou Formations. This finding supported the notion that the primary gas source was derived from Permian source rocks.

  3. The Changxing–Feixianguan Formation gas reservoir was subjected to three instances of gas and oil charging: the Middle Triassic, Late Jurassic, and Late Cretaceous. The natural gas present within the reservoir was believed to have originated from the cracking of ancient reservoirs and has undergone a process of evolution involving light oil, condensate gas, wet gas, and dry gas.

These findings of the investigation conducted in the Puguang area can provide a foundation for the investigation of natural gas accumulation within the Changxing–Feixianguan Formation. Future natural gas exploration efforts should focus on identifying the paleostructure that may have served as an ancient oil reservoir to enhance the precision of natural gas exploration.

  1. Funding information: This work was funded by the doctoral research project of the Henan University of Urban Construction, China (No. KQ2022012, KQ2023019, KH2024012, KH2024013, and KH2024024) and the Key Scientific Research Project of Henan Higher Education Institutions (24B410001).

  2. Author contributions: Songfeng Li contributed significantly to the analysis, review, and editing of this manuscript. Xiaoxia Liu, Peixin Zhang, and Yinan Zhao helped perform data curation. Each author has thoroughly reviewed and concurred with the finalized version of the manuscript prior to publication.

  3. Conflict of interest: The authors assert the absence of any conflicts of interest.

References

[1] Ma YS, Guo XS, Guo TL, Huang R, Cai XY, Li GX. Discovery of the large-scale Puguang gas field in the Sichuang Basin and its enlightenment for hydrocarbon prospecting. Geol Rev. 2005;51(4):477–80 (in Chinese with English abstract).Search in Google Scholar

[2] Ma YS, Cai XY, Guo XS, Guo TL, Zhao PR. The discovery of Puguang gas field. Eng Sci. 2010;12(10):14–23 (in Chinese with English abstract).Search in Google Scholar

[3] Ma YS, Cai XY, Li GX. Basic characteristics and concentration of the Puguang gas field in the Sichuan Basin. Acta Geol Sin. 2005;79(6):858–65 (in Chinese with English abstract).Search in Google Scholar

[4] Ma YS. Generation mechanism of Puguang gas field in Sichuan Basin. Acta Pet Sin. 2007;28(2):9–14 (in Chinese with English abstract).Search in Google Scholar

[5] Ma YS. Geochemical characteristics and origin of natural gases from Puguang gas field on eastern Sichuan Basin. Nat Gas Geosci. 2008;19(1):1–7 (in Chinese with English abstract).Search in Google Scholar

[6] Ma YS, Cai XY, Zhao PR, Zhang XF. Formation mechanism of deep-buried carbonate reservoir and its model of three-element controlling reservoir: A case study from the Puguang Oilfield in Sichuan. Acta Geol Sin. 2010;84(8):1087–94 (in Chinese with English abstract).Search in Google Scholar

[7] Li SF, Wang SL, Bi JX, Zeng ZQ, He YM. Characteristics of Xujiahe Formation source rock and process of hydrocarbon-generation evolution in Puguang Area. Earth Sci. 2016;41(5):843–52 (in Chinese with English abstract).Search in Google Scholar

[8] Wang XJ, Zhou YS, Peng J, Li J, Li HL, Wang YM, et al. Major breakthrough of shale gas in the Jurassic Qianfoya Formation in Puguang area in the northeastern Sichuan Basin. China Pet Explor. 2022;27(5):52–61 (in Chinese with English abstract).Search in Google Scholar

[9] Li J, Zhou SX, Fu DL, Li YJ, Ma Y, Yang YA, et al. Oil-source rock correlation for paleo-oil reservoir in the Puguang gas field, Northeast Sichuan Basin, Southwest China. Pet Sci Technol. 2016;34:578–86.10.1080/10916466.2016.1160113Search in Google Scholar

[10] Wu XQ, Liu QY, Liu GX, Ni CH. Genetic types of natural gas and gas-source correlation in different strata of the Yuanba gas field, Sichuan Basin, SW China. J Asian Earth Sci. 2019;181:103906.10.1016/j.jseaes.2019.103906Search in Google Scholar

[11] Liu QY, Wu XQ, Wang XF, Jin ZJ, Zhu DY, Meng QQ, et al. Carbon and hydrogen isotopes of methane, ethane, and propane: a review of genetic identification of natural gas. Earth-Sci Rev. 2019;190:247–72.10.1016/j.earscirev.2018.11.017Search in Google Scholar

[12] Zheng ZY, Zuo YH, Wen HG, Zhang JZ, Zhou G, Xu L, et al. Natural gas characteristics and gas-source comparisons of the lower Triassic Jialingjiang formation, Eastern Sichuan basin. J Pet Sci Eng. 2023;221:111165.10.1016/j.petrol.2022.111165Search in Google Scholar

[13] Zheng ZY, Zuo YH, Wen HG, Li DM, Luo Y, Zhang JD, et al. Natural gas characteristics and gas-source comparisons of the lower Triassic Feixianguan formation, Eastern Sichuan basin. Pet Sci. 2023;20:1458–70.10.1016/j.petsci.2023.02.005Search in Google Scholar

[14] Cai LG, Rao D, Pan WL, Zhang XG. The evolution on mode of the Puguang gas field in northeast of Sichuan. Pet Geol Exp. 2005;27(5):462–7.Search in Google Scholar

[15] Chen D. Difference Analysis of Changxin Formati on gas reservoir between Puguang gas field and Yuanba gas field in the Northeast of Sichuan Area. J Oil Gas Technol. 2011;33(10):11–4 (in Chinese with English abstract).Search in Google Scholar

[16] Wang Q, Xu LH, Chen JF. Characteristics and origin of natural gas in large- and medium-sized gas reservoirs in northeast Sichuan Basin. Oil Gas Geol. 2011;32(54):867–72 (in Chinese with English abstract).Search in Google Scholar

[17] Faramawy S, Zaki T, Sakr AA. Natural gas origin, composition, and processing: A review. J Nat Gas Sci Eng. 2016;34:34–54.10.1016/j.jngse.2016.06.030Search in Google Scholar

[18] Saadati H, Al-Iessa HJ, Alizadeh B, Tarhandeh E, Jazayeri MH, Bahrami H, et al. Geochemical characteristics and isotopic reversal of natural gases in eastern Kopeh-Dagh, NE Iran. Mar Pet Geol. 2016;78:76–87.10.1016/j.marpetgeo.2016.09.004Search in Google Scholar

[19] Milkov AV, Etiope G. Revised genetic diagrams for natural gases based on a global dataset of >20,000 samples. Org Geochem. 2018;125:109–20.10.1016/j.orggeochem.2018.09.002Search in Google Scholar

[20] Zheng DY, Pang XQ, Luo B, Chen DX, Pang B, Li HY, et al. Geochemical characteristics, genetic types, and source of natural gas in the Sinian Dengying Formation, Sichuan Basin, China. J Pet Sci Eng. 2021;199:108341.10.1016/j.petrol.2020.108341Search in Google Scholar

[21] Milkov AV. Molecular hydrogen in surface and subsurface natural gases: abundance, origins and ideas for deliberate exploration. Earth-Sci Rev. 2022;230:1–27.10.1016/j.earscirev.2022.104063Search in Google Scholar

[22] Machel HG, Krouse HR, Sassen R. Products and distinguishing criteria of bacterial and thermochemical sulfate reduction. Appl Geochem. 1995;10:373–89.10.1016/0883-2927(95)00008-8Search in Google Scholar

[23] Hou DJ, Zhang LY. Practical gas geochemistry. Beijing: Petroleum Industry Press; 2003 (in Chinese).Search in Google Scholar

[24] Xue N, Zhu GY, Lv XX, He T, Wu ZH. Advances in geochronology of hydrocarbon accumulation. Nat Gas Geosci. 2020;31:1733–48 (in Chinese with English abstract).Search in Google Scholar

[25] Ni P, Fan HR, Pan YJ, Chi Z, Cui JM. Progress and prospect of fluid inclusion research in the past decade in China (2011–2020). Bull Mineral Petrol Geochem. 2020;31:1733–48 (in Chinese with English abstract).Search in Google Scholar

[26] Ding C, Guo S, Guo L, Guo XB, Du GC, Wu HS. Hydrocarbon charging time of Chang 8 reservoir of Yanchang Formation in southern Ordos Basin. Lithologic Reserv. 2019;31(4):21–31 (in Chinese with English abstract).Search in Google Scholar

[27] Cheng LL, Chen WB, Wang J, Chen GY, Wan YL, Li XR. Organic inclusion and hydrocarbon charging events of the Bagung Formation in the Quemoco area, Qiangtang Basin. Geol Bull China. 2021;40(9):1493–501 (in Chinese with English abstract).Search in Google Scholar

[28] Liu CC, Wang YY, Zhao S, Duan YM, Zhang Y, Xia Y. Study on fluid inclu⁃ sion characteristics and hydrocarbon accumulation periods of Leikoupo Formation in Pengzhou Gasfield. J Xi’an Shiyou Univ (Nat Sci Ed). 2020;35(6):17–21 (in Chinese with English abstract).Search in Google Scholar

[29] Liu X, Chen QL, Wang XL, Qiu Y, Yang YX. Experimental evaluation of the effect of calcite crystal orientation on Raman spectroscopy of water--Determination of salinity of natural inclusions. J Nanjing Univ (Nat Sci). 2020;56(3):6–16 (in Chinese with English abstract).Search in Google Scholar

[30] Zhu GY, Zhang SC, Liang YB, Ma YS, Zhou GY, Dai JX. Characteristics of gas reservoirs with high content of H2S in the northeaster Sichuan basin and the consumption of hydrocarbons due to TSR. Acta Sedimentologica Sin. 2006;24(2):300–8 (in Chinese with English abstract).Search in Google Scholar

[31] Isaksen GH. Central North Sea hydrocarbon systems: Generation migration entrapment and thermal degradation of oil and gas. AAPG Bull. 2004;88:1545–72.10.1306/06300403048Search in Google Scholar

[32] Zhang JZ, Zuo YH, Yang MH, Huang WM, Xu L, Zheng ZY, et al. Hydrocarbon generation and expulsion histories of the Upper Permian Longtan Formation in the eastern Sichuan Basin, Southwest China. ACS Omega. 2023;8:19329–40 (in Chinese with English abstract).10.1021/acsomega.3c00048Search in Google Scholar PubMed PubMed Central

[33] Zheng RC, Liu P, Wen HG. Dolomite genesis and diagenetic-reservoir system of Feixianguan and Changxing Formation in northeast Sichuan Basin, China. J Chengdu Univ Technol (Sci Technol Ed). 2017;44(1):1–13 (in Chinese with English abstract).Search in Google Scholar

[34] Zhan ZL, Zhan X, Yin YZ. Reservoir condition and enrichment regulation in Changxing-Feixianguan Formations, northeastern Sichuan Basin. Pet Geol Exp. 2014;36(2):165–75 (in Chinese with English abstract).Search in Google Scholar

[35] Ma YS, Fu Q, Guo TL, Yang FL, Zhou ZY. Pool forming pattern and process of the Upper Permian - Lower Triassic, the Puguang gas field, northeast Sichuan, China. Pet Geol Exp. 2005;27(5):455–61 (in Chinese with English abstract).Search in Google Scholar

Received: 2023-09-08
Revised: 2023-12-13
Accepted: 2024-06-10
Published Online: 2025-01-21

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Research Articles
  2. Seismic response and damage model analysis of rocky slopes with weak interlayers
  3. Multi-scenario simulation and eco-environmental effect analysis of “Production–Living–Ecological space” based on PLUS model: A case study of Anyang City
  4. Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China
  5. GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
  6. Natural gas origin and accumulation of the Changxing–Feixianguan Formation in the Puguang area, China
  7. Spatial variations of shear-wave velocity anomaly derived from Love wave ambient noise seismic tomography along Lembang Fault (West Java, Indonesia)
  8. Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case
  9. Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan
  10. The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater recharge prospective zones in arid-semi arid lands
  11. Effect of pore throats on the reservoir quality of tight sandstone: A case study of the Yanchang Formation in the Zhidan area, Ordos Basin
  12. Hydroelectric simulation of the phreatic water response of mining cracked soil based on microbial solidification
  13. Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia
  14. Early Permian to Middle Triassic Formation petroleum potentials of Sydney Basin, Australia: A geochemical analysis
  15. Micro-mechanism analysis of Zhongchuan loess liquefaction disaster induced by Jishishan M6.2 earthquake in 2023
  16. Prediction method of S-wave velocities in tight sandstone reservoirs – a case study of CO2 geological storage area in Ordos Basin
  17. Ecological restoration in valley area of semiarid region damaged by shallow buried coal seam mining
  18. Hydrocarbon-generating characteristics of Xujiahe coal-bearing source rocks in the continuous sedimentary environment of the Southwest Sichuan
  19. Hazard analysis of future surface displacements on active faults based on the recurrence interval of strong earthquakes
  20. Structural characterization of the Zalm district, West Saudi Arabia, using aeromagnetic data: An approach for gold mineral exploration
  21. Research on the variation in the Shields curve of silt initiation
  22. Reuse of agricultural drainage water and wastewater for crop irrigation in southeastern Algeria
  23. Assessing the effectiveness of utilizing low-cost inertial measurement unit sensors for producing as-built plans
  24. Analysis of the formation process of a natural fertilizer in the loess area
  25. Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)
  26. Chemical dissolution and the source of salt efflorescence in weathering of sandstone cultural relics
  27. Molecular simulation of methane adsorption capacity in transitional shale – a case study of Longtan Formation shale in Southern Sichuan Basin, SW China
  28. Evolution characteristics of extreme maximum temperature events in Central China and adaptation strategies under different future warming scenarios
  29. Estimating Bowen ratio in local environment based on satellite imagery
  30. 3D fusion modeling of multi-scale geological structures based on subdivision-NURBS surfaces and stratigraphic sequence formalization
  31. Comparative analysis of machine learning algorithms in Google Earth Engine for urban land use dynamics in rapidly urbanizing South Asian cities
  32. Study on the mechanism of plant root influence on soil properties in expansive soil areas
  33. Simulation of seismic hazard parameters and earthquakes source mechanisms along the Red Sea rift, western Saudi Arabia
  34. Tectonics vs sedimentation in foredeep basins: A tale from the Oligo-Miocene Monte Falterona Formation (Northern Apennines, Italy)
  35. Investigation of landslide areas in Tokat-Almus road between Bakımlı-Almus by the PS-InSAR method (Türkiye)
  36. Predicting coastal variations in non-storm conditions with machine learning
  37. Cross-dimensional adaptivity research on a 3D earth observation data cube model
  38. Geochronology and geochemistry of late Paleozoic volcanic rocks in eastern Inner Mongolia and their geological significance
  39. Spatial and temporal evolution of land use and habitat quality in arid regions – a case of Northwest China
  40. Ground-penetrating radar imaging of subsurface karst features controlling water leakage across Wadi Namar dam, south Riyadh, Saudi Arabia
  41. Rayleigh wave dispersion inversion via modified sine cosine algorithm: Application to Hangzhou, China passive surface wave data
  42. Fractal insights into permeability control by pore structure in tight sandstone reservoirs, Heshui area, Ordos Basin
  43. Debris flow hazard characteristic and mitigation in Yusitong Gully, Hengduan Mountainous Region
  44. Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology
  45. Identification of radial drainage networks based on topographic and geometric features
  46. Trace elements and melt inclusion in zircon within the Qunji porphyry Cu deposit: Application to the metallogenic potential of the reduced magma-hydrothermal system
  47. Pore, fracture characteristics and diagenetic evolution of medium-maturity marine shales from the Silurian Longmaxi Formation, NE Sichuan Basin, China
  48. Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt
  49. Source of contamination and assessment of potential health risks of potentially toxic metal(loid)s in agricultural soil from Al Lith, Saudi Arabia
  50. Regional spatiotemporal evolution and influencing factors of rural construction areas in the Nanxi River Basin via GIS
  51. An efficient network for object detection in scale-imbalanced remote sensing images
  52. Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs
  53. Environmental health risk assessment of Zn, Cd, Pb, Fe, and Co in coastal sediments of the southeastern Gulf of Aqaba
  54. A modified Hoek–Brown model considering softening effects and its applications
  55. Evaluation of engineering properties of soil for sustainable urban development
  56. The spatio-temporal characteristics and influencing factors of sustainable development in China’s provincial areas
  57. Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data
  58. Gold vein mineralogy and oxygen isotopes of Wadi Abu Khusheiba, Jordan
  59. Prediction of surface deformation time series in closed mines based on LSTM and optimization algorithms
  60. 2D–3D Geological features collaborative identification of surrounding rock structural planes in hydraulic adit based on OC-AINet
  61. Spatiotemporal patterns and drivers of Chl-a in Chinese lakes between 1986 and 2023
  62. Land use classification through fusion of remote sensing images and multi-source data
  63. Nexus between renewable energy, technological innovation, and carbon dioxide emissions in Saudi Arabia
  64. Analysis of the spillover effects of green organic transformation on sustainable development in ethnic regions’ agriculture and animal husbandry
  65. Factors impacting spatial distribution of black and odorous water bodies in Hebei
  66. Large-scale shaking table tests on the liquefaction and deformation responses of an ultra-deep overburden
  67. Impacts of climate change and sea-level rise on the coastal geological environment of Quang Nam province, Vietnam
  68. Reservoir characterization and exploration potential of shale reservoir near denudation area: A case study of Ordovician–Silurian marine shale, China
  69. Seismic prediction of Permian volcanic rock reservoirs in Southwest Sichuan Basin
  70. Application of CBERS-04 IRS data to land surface temperature inversion: A case study based on Minqin arid area
  71. Geological characteristics and prospecting direction of Sanjiaoding gold mine in Saishiteng area
  72. Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU
  73. Geochronology, geochemical characteristics, and tectonic significance of the granites, Menghewula, Southern Great Xing’an range
  74. Hazard classification of active faults in Yunnan base on probabilistic seismic hazard assessment
  75. Characteristics analysis of hydrate reservoirs with different geological structures developed by vertical well depressurization
  76. Estimating the travel distance of channelized rock avalanches using genetic programming method
  77. Landscape preferences of hikers in Three Parallel Rivers Region and its adjacent regions by content analysis of user-generated photography
  78. New age constraints of the LGM onset in the Bohemian Forest – Central Europe
  79. Characteristics of geological evolution based on the multifractal singularity theory: A case study of Heyu granite and Mesozoic tectonics
  80. Soil water content and longitudinal microbiota distribution in disturbed areas of tower foundations of power transmission and transformation projects
  81. Oil accumulation process of the Kongdian reservoir in the deep subsag zone of the Cangdong Sag, Bohai Bay Basin, China
  82. Investigation of velocity profile in rock–ice avalanche by particle image velocimetry measurement
  83. Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field
  84. Sedimentology of the Phra That and Pha Daeng Formations: A preliminary evaluation of geological CO2 storage potential in the Lampang Basin, Thailand
  85. Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model
  86. Map analysis of soil erodibility rates and gully erosion sites in Anambra State, South Eastern Nigeria
  87. Identification and driving mechanism of land use conflict in China’s South-North transition zone: A case study of Huaihe River Basin
  88. Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province
  89. A test site case study on the long-term behavior of geotextile tubes
  90. An experimental investigation into carbon dioxide flooding and rock dissolution in low-permeability reservoirs of the South China Sea
  91. Detection and semi-quantitative analysis of naphthenic acids in coal and gangue from mining areas in China
  92. Comparative effects of olivine and sand on KOH-treated clayey soil
  93. YOLO-MC: An algorithm for early forest fire recognition based on drone image
  94. Earthquake building damage classification based on full suite of Sentinel-1 features
  95. Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology
  96. Assessing green area changes in Najran City, Saudi Arabia (2013–2022) using hybrid deep learning techniques
  97. An advanced approach integrating methods to estimate hydraulic conductivity of different soil types supported by a machine learning model
  98. Hybrid methods for land use and land cover classification using remote sensing and combined spectral feature extraction: A case study of Najran City, KSA
  99. Streamlining digital elevation model construction from historical aerial photographs: The impact of reference elevation data on spatial accuracy
  100. Analysis of urban expansion patterns in the Yangtze River Delta based on the fusion impervious surfaces dataset
  101. A metaverse-based visual analysis approach for 3D reservoir models
  102. Late Quaternary record of 100 ka depositional cycles on the Larache shelf (NW Morocco)
  103. Integrated well-seismic analysis of sedimentary facies distribution: A case study from the Mesoproterozoic, Ordos Basin, China
  104. Study on the spatial equilibrium of cultural and tourism resources in Macao, China
  105. Urban road surface condition detecting and integrating based on the mobile sensing framework with multi-modal sensors
  106. Application of improved sine cosine algorithm with chaotic mapping and novel updating methods for joint inversion of resistivity and surface wave data
  107. The synergistic use of AHP and GIS to assess factors driving forest fire potential in a peat swamp forest in Thailand
  108. Dynamic response analysis and comprehensive evaluation of cement-improved aeolian sand roadbed
  109. Rock control on evolution of Khorat Cuesta, Khorat UNESCO Geopark, Northeastern Thailand
  110. Gradient response mechanism of carbon storage: Spatiotemporal analysis of economic-ecological dimensions based on hybrid machine learning
  111. Comparison of several seismic active earth pressure calculation methods for retaining structures
  112. Review Articles
  113. Humic substances influence on the distribution of dissolved iron in seawater: A review of electrochemical methods and other techniques
  114. Applications of physics-informed neural networks in geosciences: From basic seismology to comprehensive environmental studies
  115. Ore-controlling structures of granite-related uranium deposits in South China: A review
  116. Shallow geological structure features in Balikpapan Bay East Kalimantan Province – Indonesia
  117. A review on the tectonic affinity of microcontinents and evolution of the Proto-Tethys Ocean in Northeastern Tibet
  118. Special Issue: Natural Resources and Environmental Risks: Towards a Sustainable Future - Part II
  119. Depopulation in the Visok micro-region: Toward demographic and economic revitalization
  120. Special Issue: Geospatial and Environmental Dynamics - Part II
  121. Advancing urban sustainability: Applying GIS technologies to assess SDG indicators – a case study of Podgorica (Montenegro)
  122. Spatiotemporal and trend analysis of common cancers in men in Central Serbia (1999–2021)
  123. Minerals for the green agenda, implications, stalemates, and alternatives
  124. Spatiotemporal water quality analysis of Vrana Lake, Croatia
  125. Functional transformation of settlements in coal exploitation zones: A case study of the municipality of Stanari in Republic of Srpska (Bosnia and Herzegovina)
  126. Hypertension in AP Vojvodina (Northern Serbia): A spatio-temporal analysis of patients at the Institute for Cardiovascular Diseases of Vojvodina
  127. Regional patterns in cause-specific mortality in Montenegro, 1991–2019
  128. Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina
  129. Flash flood susceptibility mapping using LiDAR-Derived DEM and machine learning algorithms: Ljuboviđa case study, Serbia
  130. Geocultural heritage as a basis for geotourism development: Banjska Monastery, Zvečan (Serbia)
  131. Assessment of groundwater potential zones using GIS and AHP techniques – A case study of the zone of influence of Kolubara Mining Basin
  132. Impact of the agri-geographical transformation of rural settlements on the geospatial dynamics of soil erosion intensity in municipalities of Central Serbia
  133. Where faith meets geomorphology: The cultural and religious significance of geodiversity explored through geospatial technologies
  134. Applications of local climate zone classification in European cities: A review of in situ and mobile monitoring methods in urban climate studies
  135. Complex multivariate water quality impact assessment on Krivaja River
  136. Ionization hotspots near waterfalls in Eastern Serbia’s Stara Planina Mountain
  137. Shift in landscape use strategies during the transition from the Bronze age to Iron age in Northwest Serbia
Downloaded on 16.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/geo-2022-0658/html
Scroll to top button