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ORIGINAL RESEARCH article

Front. Earth Sci., 20 May 2024
Sec. Geochemistry
This article is part of the Research Topic Unconventional Resources: Provenance Analysis, Sediment Transport, Reservoir Evaluation, Geo-energy View all 28 articles

Utilizing logs to identify complex lithology of tight marl reservoir in the Leikoupo Formation 32 Submember (T2l32) of the Sichuan Basin, China

Rui YuanRui Yuan1Zhiwei Wu
Zhiwei Wu1*Yongguang XinYongguang Xin2Hao ZhangHao Zhang2Saijun WuSaijun Wu3Siyue YangSiyue Yang1
  • 1School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, Hubei, China
  • 2Sichuan Basin Research Center, PetroChina Research Institute of Petroleum Exploration and Development, Chengdu, Sichuan, China
  • 3PetroChina Research Institute of Petroleum Exploration and Development, Beijing, China

Recent exploration has revealed that the Middle Triassic Leikoupo Formation 32 Submember (T2l32) in the Sichuan Basin contains unconventional marl reservoirs with significant natural gas potential. Due to limited cores, old wells, and conventional logs, however, the lithological understanding of T2l32 is incomplete and relies solely on inaccurate mud logs. This lack of lithological foundation challenges geology and petroleum research. To identify complex lithology, this paper presents a double-hierarchical workflow to identify seven types of lithology using logs. The first order distinguishes salt, anhydrite, and marl, while the second order further subdivides marl into anhydrite marl, argillaceous limestone, shaly limestone, and limy shale. Different rocks’ logging response characteristics are summarized based on quantity-limited cores and micro-resistivity imaging logs. Lithological identification of 2D and 3D plots is established using sensitive GR, DEN, and RT. Corresponding identification standards are built in two hierarchies. According to these standards, the lithology of T2l32 is identified in a total of 119 wells. Finally, the lithological characteristics of vertical, horizontal, and plane are discussed in the research area. The research results may aid in comprehending the entire lithological characteristics of the complex marl reservoir in T2l32 of the Sichuan Basin. It would help the exploration potential of petroleum systems in turn.

1 Introduction

The identification of lithology is the foundation of petroleum resource exploration and development. Drilling cores provide direct evidence of subsurface strata. However, they are costly and time-consuming. Mud logs offer initial information in drilling formation, but their lithological data is rough and inaccurate. These lithological results are unsuitable for detailed descriptions of oil and gas reservoirs. Various well logs record multiple physical properties of stratigraphy within high resolution, which are the widespread data in each open hole. The identification of lithology using logs is the most effective and direct method for recognizing subsurface rocks of formation (Kumar et al., 2018; Ramos and Neves, 2019; Saporetti et al., 2019).

Carbonate is one kind of significant hydrocarbon reservoir with complex lithology, including limestone, dolomite, anhydrite, salt, and other rocks (Paul and Stephen, 2006; Ben et al., 2019). Carbonate reservoirs are essential natural gas producers in China (Chen et al., 2022). Dozens of carbonate gas fields have been built in the Sinian, Cambrian, and Permian of the Sichuan Basin of China (Ma et al., 2008; Tan et al., 2011; Wang L. et al., 2020; Liao et al., 2020; Tan et al., 2021). Specifically, the Middle Triassic Leikoupo Formation 32 Submember (T2l32) in the central Sichuan Basin has yielded 3 × 105 m3 gas and 47.04 m3 oil per day in oil tests of CT1 Well in 2020 (Wang et al., 2023). It is a breakthrough in the marl intervals of T2l32, which kicked off the hydrocarbon exploration in this formation (Shen et al., 2008; Zhou et al., 2010; Xin et al., 2013a; Xin et al., 2013b; Lü et al., 2013; Tian et al., 2018; Wang X. et al., 2020; Tian et al., 2020; Tian et al., 2021; Zhang et al., 2021; Xin et al., 2022). Marl is a type of complex carbonate that is often a mixture of mud and limestone (Balumi et al., 2022; Yin et al., 2023). Marl reservoir exhibits poor physical properties, with porosity ranging from 2% to 8% and permeabilities of (0.001–1) × 10−3 μm2 in T2l32. Due to limited cores, imprecise mud logs, and old well data, obtaining accurate geological information would be difficult in the T2l32 formation. In this paper, a hierarchical lithological identification method from logs is formed to solve the lithological problem of tight marl reservoir in T2l32 effectively. Log response characteristics of different rocks are summarized on the quantity-limited cores and micro-resistivity imaging log. Corresponding 2D and 3D lithological plots are established. Finally, the lithological characteristics of T2l32 are discussed.

2 Geological setting

2.1 Tectonic and depositional background

Yangtze Para-platform is a significant platform for the Chinese mainland. The Sichuan Basin is in the northwestern Yangtze Para-platform as a secondary tectonic unit. For the early tectonic uplift in the Indo-China Movement, the Sichuan Basin was enclosed by palaeo-highs and palaeo-lands in the Yangtze Cratonic Block. In the Middle Triassic Leikoupo Stage, therefore, the Sichuan Basin was a part of the Yangtze Craton Basin. Sichuan Basin adjoined Yunnan-Tibet Palaeo-ocean in the west through Longmen Mountain Island-chain; adjoined Qinling Palaeo-ocean and Northern Qinling Palaeo-land in the north by Michang and Daba Mountain Uplift; and was surrounded by Kangdian Palaeo-land in the southwest and Jiangnan Palaeo-land in the east. In the Sichuan Basin, Chuanxi, Chuanzhong, and Chuandong Depressions, and Kaijing and Luzhou Uplifts (Figure 1A) (Tian et al., 2021). This palaeogeographic framework of the Sichuan Basin in the Leikoupo Stage results in the depositional environment of an evaporated-restricted platform. Mixed lagoon and flat were widely distributed in the T2l32 of the Sichuan Basin. In the central basin, depositional facies were mainly developed in marly and anhydrite lagoon and marly flat, which is the dominant research region of this paper (Figure 1B) (Tian et al., 2021).

Figure 1
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Figure 1. Tectonic of the Sichuan Basin and depositional background of T2l32. (A) Tectonic background of the Sichuan Basin (modified from Tian et al., 2021). (B) Depositional background of T2l32 in the Sichuan Basin (modified from Tian et al., 2021).

2.2 Stratigraphic background

According to the stratigraphy in the Sichuan Basin, the Middle Triassic Leikoupo Formation is divided into five members, named Lei-1 (T2l1), Lei-2 (T2l2), Lei-3 (T2l3), Lei-4 (T2l4), and Lei-5 (T2l5) upwards (Figure 2A). Within a thickness of 200 m, the Lei-3 Member is further subdivided into three submembers, termed 31 (T2l31), 32 (T2l32), and 33 (T2l33) upwards. T2l32 is approximately 100 m thick and is the main gas pay of the T2l3. Based on current geological understanding, T2l32 is composed of six dominant lithologies: salt, anhydrite, anhydrite marl, argillaceous limestone, shaly limestone, and limy shale (Figure 2B). Oilfield petrologists consider that hydrocarbon would be generated in the limy shale and enriched in the shaly limestone; the salt and anhydrite are cover rocks. Therefore, the whole T2l32 is considered as a “self-generation and self-storage” complex unconventional marl gas reservoir (Yang et al., 2022; Zhang et al., 2023).

Figure 2
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Figure 2. Stratigraphic characteristics of the T2l32 in the central Sichuan Basin. (A) Lithological characteristics of the Leikoupo Formation. (B) Generalized open-hole stratigraphic T2l32 of CT1 Well. Conventional logs: CAL-borehole diameter (in), GR-natural gamma ray (API), AC-acoustic time (μs/ft), DEN-compensated bulk density (g/cm3), CNL-compensated neutron (decimal), RT-deep investigation resistivity (Ω·m), RXO-shallow investigation resistivity (Ω·m). (C) Core description and photos in CT1 Well.

3 Data and methods

3.1 Database

In the central Sichuan Basin, more than one hundred wells have been drilled in T2l32. Almost all wells have been run by conventional logs, including borehole diameter (CAL, in), natural gamma ray (GR, API), deep resistivity (RT, Ω·m), shallow resistivity (RXO, Ω·m), acoustic time (AC, μs/ft), compensated neutron (CNL, decimal) and bulk density (DEN, g/cm3) (Figure 2B). 119 wells are involved in this paper. Although cuttings while drilling were recorded to understand the lithology of formation, this information is in large error. Therefore, coring has become an important criterion for lithological identification. For the long drilling time and high coring cost, just two coring runs (8.65 m) and one coring run (8.4 m) were operated in CT1 and JY1 Well respectively (Figure 2C). Meanwhile, micro-resistivity imaging logs were generated in JY1 Well. These ultrahigh-resolution images cover the shortage of cores and play an important role in describing lithology and fabric of formation finely (Zhou, 2008; Xu et al., 2009; Yan et al., 2011; Folkestad et al., 2012; Brekke et al., 2017; Luo et al., 2018; Zhang et al., 2018; Yuan et al., 2020).

3.2 Methods

The method of using well logs to identify lithology of complex unconventional marl reservoir in T2l32 of the Sichuan Basin requires knowledge of primary carbonate and comprises five stages in this article. The first stage is the pre-processing of multiple data. All logging curves involved are standardized to eliminate systematic errors between logging tools (Figure 3). Depth of cores and borehole electrical images are corrected to the depth of logging curves in CT1 and JY1 Well. High-resolution 256-grayscale electrical conductivity images are generated in JY1 Well. The second stage makes the applicable lithological identification hierarchical workflow. In the first-order, three categories of rocks are distinguished: salt, anhydrite, and marl. In the second-order, the marl is further subdivided into four types of lithology: anhydrite marl, argillaceous limestone, shaly limestone, and limy shale (Figure 4). The third stage summarizes the logging response characteristics of the above three categories and four types of lithologies. The lithological evidence comes from mud logs, cores, and micro-resistivity images. The fourth stage produces several 2D and 3D lithological plots hierarchically from logs. The fifth stage applies plots to identify lithology in boreholes and discusses the vertical, horizontal, and plane lithological characteristics of T2l32 in the Sichuan Basin.

Figure 3
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Figure 3. Standardization of logging curves in some wells. (A) Pre-standardization of GR. (B) Post-standardization of GR. (C) Pre-standardization of DEN. (D) Post-standardization of DEN. (E) Pre-standardization of RT. (F) Post-standardization of RT.

Figure 4
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Figure 4. Hierarchical workflow of lithological identification in T2l32.

4 Results

4.1 Logging response characteristics of different lithologies

Salt, anhydrite, and marl are the first-order lithologies in T2l32. Precipitated in evaporating sea and lake water, salt is a rock of pure chemical genesis. It consists mainly of halite, sylvine, gypsum, anhydrite, and so on minerals. Due to these chemical substances, salt is usually within the physical properties of high solubility, low radioactivity, low density, and non-conductivity (Wang et al., 2016; Zhang et al., 2022). It results in high CAL, low GR, low DEN, and high RT logging values in salt intervals (Shen et al., 2015; Xu et al., 2023). Similarly, with salt in a depositional environment, anhydrite is generated in highly concentrated water. In logging, anhydrite rocks have low GR, high DEN, and high RT normally (Carrasquilla and Caetano, 2021; Meng et al., 2022). Marl is a kind of transitional rock between carbonate and shale rock. Different from salt and gypsum, marl is characterized by medium-high GR, medium-low DEN, and medium-low RT in logging responses (Figure 5A) (Afsar et al., 2014; Cherif et al., 2021).

Figure 5
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Figure 5. Logging response characteristics of different lithologies. (A) Logging response characteristics of first-order lithologies in GS1 Well. (B) Logging response characteristics of second-order lithologies in JY1 Well.

In second-order lithologies, anhydrite marl, argillaceous limestone, shaly limestone, and limy shale are finer lithologies in marl. Anhydrite marl is a type of mixture of anhydrite and marl. Marl is the primary material and anhydrite is the secondary mineral. The logging responses of anhydrite marl are between anhydrite and marl. In the micro-resistivity imaging logs, the anhydrite marl is blurry and massive. Argillaceous limestone, shaly limestone, and limy shale are mixed with calcareous and clay minerals. The content of clay minerals increases and that of calcareous minerals gradually decreases in these three lithologies. Theoretically, limestone has low radioactivity and low electrical conductivity. In contrast, clay is high in both of these characteristics. Therefore, these three fine lithologies would be carefully distinguished during logs. Limy shale has the highest GR and lowest RT; argillaceous limestone has the lowest GR and highest RT; logging responses of shaly limestone are intermediate between the above two lithologies. In the micro-resistivity imaging logs, argillaceous limestone, shaly limestone, and limy shale are alternated by horizontal dark and light stripes. Centimeter-thickness dark stripes indicate limy shale, while light bands indicate argillaceous limestone. Extreme thin dark and light stripes interbedding intervals imply shalylimestone (Figure 5B).

4.2 Lithological identification plots

Based on the logging response characteristics of different order lithologies, 2D and 3D lithological plots are produced, involving sensitive GR, DEN, and RT. Four plots are effective in distinguishing the first-order lithologies of salt, anhydrite, and marl. In the GR-DEN plot, salt is in the low GR and low DEN zone; anhydrite is in the low GR and high DEN zone (Figure 6A). In the RT-GR plot, marl is in the medium-high GR and low RT zone; salt and anhydrite are in low GR and high RT zone (Figure 6B). In the RT-DEN plot, marl is in medium DEN and low RT zone; salt is in low DEN and high RT zone; anhydrite is in high DEN and high RT zone (Figure 6C). These three lithologies are easily distinguished in the 3D GR-DEN-RT plot (Figure 6D). The corresponding identification standard would be: salt GR<35 API, DEN<2.5 g/cm3, RT>3,000 Ω·m; anhydrite GR<35 API, DEN>2.7 g/cm3, RT>800 Ω·m; marl GR>30 API, RT<2000 Ω·m, DEN 2.5–2.8 g/cm3.

Figure 6
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Figure 6. Lithological identification plots for the first-order lithologies of salt, anhydrite, and marl. Lithology and logging data derived from coring intervals of CT1 and JY1 Well. (A) 2D GR-DEN plot. (B) 2D RT-GR plot; (C) 2D RT-DEN plot; (D) 3D GR-DEN-RT plot.

The GR-RT plate is also used to distinguish the second-order lithologies of anhydrite marl, argillaceous limestone, shaly limestone, and limy shale in marl. Anhydrite marl is in the lowest GR and highest RT zone; limy shale is in the highest GR and lowest RT zone; argillaceous limestone is in low-medium GR and medium-high RT zone; shaly limestone is in medium GR and medium RT zone (Figure 7). The corresponding identification standard would be: anhydrite marl GR<35 API, RT 800–2000 Ω·m; argillaceous limestone GR 30–50 API, RT 200–2000 Ω·m; shaly limestone GR 40–60 API, RT 30–300 Ω·m; limy shale GR>45 API, RT<80 Ω·m. Finally, the logging lithological identification criteria for the T2l32 complex marl reservoir in the central Sichuan Basin are summarized in Table 1.

Figure 7
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Figure 7. Lithological identification GR-RT plot for the second-order lithologies of anhydrite marl, argillaceous limestone, shaly limestone, and limy shale in marl. Lithology and logging data derived from coring intervals of JY1 Well.

Table 1
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Table 1. Lithological identification standard of logs for complex marl reservoir of the T2l32 in the central Sichuan Basin.

4.3 Compare identification results with cores

To check the availability of the lithological identification standard, identifying results are compared with core lithology in CT1 Well. In the coring interval, 3,560–3,568.65 m, upper lithology is argillaceous limestone and lower lithology is shaly limestone in coring description. In the lithological identification result, the interval of 3,561.8–3,562.54 m is in higher GR than up and down, and lithology is recognized as shaly limestone Figure 8. Coincidence rate between coring identifying and lithology is about 91%. Using the proposed method, centimeter-scale lithology would be acquired. In addition, the marl reservoir in T2l32 is very tight, within 2%–8% porosity. Water is hard to store in this tight marl reservoir. Gas and oil are usually in low saturation. Therefore, the logging responses are principally rooted in the rock framework. Different amount of pore fluids affects the GR, DEN, and RT finitely.

Figure 8
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Figure 8. Compare identification results with cores in CT1 Well.

5 Discussion

5.1 Lithological characteristics in single well

Based on the above lithological identification standard for complex marl reservoir in T2l32, lithology is identified in a total of 119 wells. In the vertical formation, the lithological characteristics of T2l32 are obvious. Taking LG47 Well as an example, the lithological identification result is shown in Figure 9. The thickness of T2l32 is 213 m. In the mud log lithology, both anhydrite and marl are large sets of thick layers and no salt rock. In the lithological identification result, two salt layers, about 12 m thick, cover the upper formation. They are the significant cap rocks. Four main anhydrite layers, about 8 m thick, are developed in the middle formation. They are the interlayers between the marl reservoirs. Marl layers are thin and alternating. The number of layers, minimum thickness, average thickness, and maximum thickness of anhydrite marl is 8, 0.77 m, 1.58 m, and 3.23 m respectively. The number of layers, minimum thickness, average thickness, and maximum thickness of argillaceous limestone is 31, 0.5 m, 1.9 m, and 6.33 m respectively. The number of layers, minimum thickness, average thickness, and maximum thickness of shaly limestone is 33, 0.45 m, 1.67 m, and 4.98 m respectively. The number of layers, minimum thickness, average thickness, and maximum thickness of limy shale are 20, 0.35 m, 0.82 m, and 1.8 m respectively (Figure 10A).

Figure 9
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Figure 9. Lithological identification results of LG47 Well.

Figure 10
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Figure 10. Quantitative thickness statistics of different lithologies. (A) Layer number, single layer minimum thickness, average thickness, and maximum thickness of different lithologies. Numbers in the brackets are layer numbers. (B) Total thickness percentage of different lithologies.

In the entire T2l32 formation, the percentage of salt thickness is 16.1%; the percentage of anhydrite thickness is 16.9%; the percentage of anhydrite marl thickness is 5.9%; the percentage of argillaceous limestone thickness is 27.6%; the percentage of shaly limestone thickness is 25.8%; the percentage of limy shale thickness is 7.7% (Figure 10B). These quantitative parameters reveal the characteristics of the different lithologies. As reservoir rocks, the individual thicknesses of the shaly limestone and argillaceous limestone are medium, and the number of layers is large. The total thicknesses of these two lithologies are the greatest. As cap and interlayer rocks, the individual layer thicknesses of salt and anhydrite are large, but the number of layers is small. The total thickness of these two lithologies is the second. As source rocks, the single-layer thickness of limy shale is the smallest, generally not exceeding 1 m, and the total thickness is the smallest.

5.2 Lithological characteristics in horizontal formation

During the deposition of the Middle Triassic Leikoupo Formation, uplifts were developed at the edge of the basin. The saline seawater was evaporated in the restricted platform in the arid paleoclimate. From the center to the margin of the Sichuan Basin, the depositional facies are anhydrite-salt lagoon, marly lagoon, lagoon margin of marly flat, dolomitic flat, and marly flat (Figure 1B).

Based on the lithological identification results in individual boreholes, the lithological characteristics in the horizontal formation are interpreted in different depositional facies (Figure 11). The salt, as regional cap rock, is the thickest in the central anhydrite-salt lagoon and thins towards the basin margin. The total thickness percentage of salt is reduced from the central to the marginal in the basin. The number of layers and the total thickness of anhydrite decrease towards the margin of the basin as well. Thin interbedded argillaceous limestone, shaly limestone, and limy shale are separated by anhydrite. The number of marl layers in the central basin is greater than in the marginal basin; The monolayer thickness and total percentage of marl thickness in the central basin are less than in the marginal basin. Gases are well trapped in these thin marls.

Figure 11
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Figure 11. Lithological characteristics in the horizontal formation of T2l32. The location of the wells is marked in Figure 1B.

5.3 Lithological characteristics of the region

Based on lithological identification results in 119 wells, thickness contour plans of each lithology are generated in the survey region. The first-order lithologies are shown in Figure 12. Anhydrite is developed in the center with NE-SW, and the maximum thickness is in the northeast. The anhydrite cap rock is region-wide (Figure 12A). Salt is just dominated in the southeast, with no development in the northwestern (Figure 12B). The distribution of the marl is relatively wide and developed throughout the area, mainly concentrated in the center NE-SW region (Figure 12C). The different marl lithologies are shown in Figure 13. Regional features of the preponderant reservoir, interlayer, and source rock are clear. As an unconventional reservoir, the thickness of anhydrite marl, argillaceous limestone, shaly limestone, and limy shale are crucial factors for further geological understanding. These lithological characteristics of the region would offer an important reference for subsequent exploration and development of natural gas.

Figure 12
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Figure 12. First-order lithological thickness plane spread of T2l32. (A) Thickness plane spread of anhydrite. (B) Thickness plane spread of salt. (C) Thickness plane spread of marl.

Figure 13
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Figure 13. Lithological thickness plane spread of marl in T2l32. (A) Thickness plane spread of anhydrite marl. (B) Thickness plane spread of argillaceous limestone. (C) Thickness plane spread of shaly limestone. (D) Thickness plane spread of limy shale.

6 Conclusion

(1) Lithological identification of 2D and 3D plots is established for the complex marl reservoir in T2l32 of the Sichuan Basin. Identification standard of the first-order lithology is: salt GR<35 API, DEN<2.5 g/cm3, RT>3,000 Ω·m; anhydrite GR<35 API, DEN>2.7 g/cm3, RT>800 Ω·m; marl GR>30 API, RT<2000 Ω·m, DEN 2.5–2.8 g/cm3. Identification standard of the fine lithology in marl is: anhydrite marl GR<35 API, RT 800–2000 Ω·m; argillaceous limestone GR 30–50 API, RT 200–2000 Ω·m; shaly limestone GR 40–60 API, RT 30–300 Ω·m; limy shale GR>45 API, RT<80 Ω·m.

(2) In the coring interval, the coincidence rate of identifying lithological results is larger than 90%. As reservoir rocks, the individual thicknesses of the shaly limestone and argillaceous limestone are medium, and the number of layers is large. As cap and interlayer rocks, the individual layer thicknesses of salt and anhydrite are large, but the number of layers is small. As source rock, the single-layer thickness of limy shale is the smallest, generally not exceeding 1 m.

(3) The anhydrite cap rock is region-wide, while salt is just dominated in the southeastern, with no development in the northwestern. The distribution of the marl is relatively wide and developed throughout the area, mainly concentrated in the center NE-SW region. The plane thickness of anhydrite marl, argillaceous limestone, shaly limestone, and limy shale have practical significance for follow-up exploration in T2l32 of the central Sichuan Basin.

Data availability statement

The data analyzed in this study is subject to the following licenses/restrictions: The dataset not available. Requests to access these datasets should be directed to ZW, 2022710367@yangtzeu.edu.cn.

Author contributions

RY: Writing–original draft, Writing–review and editing. ZW: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Visualization, Writing–original draft. YX: Resources, Visualization, Writing–review and editing. HZ: Data curation, Formal Analysis, Writing–review and editing. SW: Methodology, Writing–review and editing. SY: Formal Analysis, Writing–original draft.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

The reviewers are gratefully acknowledged for constructive comments that substantially improved the quality of this manuscript. Also, we appreciate the editor’s suggestions to revise this manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Keywords: logs, complex lithology, tight marl, Leikoupo Formation, Sichuan Basin

Citation: Yuan R, Wu Z, Xin Y, Zhang H, Wu S and Yang S (2024) Utilizing logs to identify complex lithology of tight marl reservoir in the Leikoupo Formation 32 Submember (T2l32) of the Sichuan Basin, China. Front. Earth Sci. 12:1411126. doi: 10.3389/feart.2024.1411126

Received: 02 April 2024; Accepted: 02 May 2024;
Published: 20 May 2024.

Edited by:

Yongqiang Chen, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia

Reviewed by:

Zhiyang Li, Texas A&M International University, United States
Feng Wu, Southwest Petroleum University, China
Tao Nian, Xi’an Shiyou University, China

Copyright © 2024 Yuan, Wu, Xin, Zhang, Wu and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhiwei Wu, 2022710367@yangtzeu.edu.cn

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