Volume 2, Issue 1, Journal of Geo-Energy and Environment
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Journal of Geo-Energy and Environment, Volume 2, Issue 1, 2026: 34-45

Open Access | Research Article | 02 February 2026
Identification and Distribution Characteristics of Mudstone Intercalations in Ultra-Deep Tight Fractured Sandstone Gas Reservoirs: A Case Study of the Keshen A Gas Reservoir, Tarim Basin
1 School of Earth Sciences and Engineering, Xi’an Shiyou University, Xi’an 710065, China
2 Shaanxi Key Lab of Petroleum Accumulation Geology, Xi’an Shiyou University, Xi’an 710065, China
3 Korla Branch of GRI of BGP Inc., Korla 841000, China
* Corresponding Author: Changan Shan, [email protected]
ARK: ark:/57805/jgee.2025.797111
Received: 29 December 2025, Accepted: 20 January 2026, Published: 02 February 2026  
Abstract
The ultra-deep tight sandstone gas reservoirs in the Tarim Basin, exemplified by the Keshen A gas reservoir, face escalating challenges of water invasion and pressure maintenance after years of production. Interlayers within these reservoirs serve as critical geological barriers, yet their spatial distribution remains poorly resolved due to limitations in conventional identification methods. This study integrates core, logging, 3D seismic, and production data within a sequence stratigraphic and reservoir geology framework to establish a ``core-logging-seismic'' collaborative identification system for argillaceous interlayers. Two main interlayer types—argillaceous and physical—are identified within the Bashijiqike Formation. Argillaceous interlayers exhibit distinctive logging responses (``high GR, high AC, low resistivity''), and seismic half-width attributes effectively delineate their lateral distribution. These interlayers are predominantly concentrated in the K1bs2 interval, with thicknesses of 0.8–2.5 m and a NW-SE oriented planar distribution. Based on thickness and lateral extent, they are classified into three levels (single-well, well-group, and reservoir-scale). Interlayers exceeding 1.5 m in thickness with good lateral continuity form effective flow barriers that significantly suppress water invasion. The findings were applied to well-pattern optimization in 2023, reducing overall water influx by 37% and increasing estimated recovery by 8.2%, supporting a transition from empirical to geologically-guided development in ultra-deep tight reservoirs.

Graphical Abstract
Identification and Distribution Characteristics of Mudstone Intercalations in Ultra-Deep Tight Fractured Sandstone Gas Reservoirs: A Case Study of the Keshen A Gas Reservoir, Tarim Basin

Keywords
keshen block
cretaceous
tight sandstone
mud interlayer
multi-scale recognition
water intrusion prevention and control

Data Availability Statement
Data will be made available on request.

Funding
This work was supported without any funding.

Conflicts of Interest
Xinwu Mi is affiliated with the Korla Branch of GRI of BGP Inc., Korla 841000, China. The authors declare that this affiliation had no influence on the study design, data collection, analysis, interpretation, or the decision to publish, and that no other competing interests exist.

AI Use Statement
The authors declare that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate
Not applicable.

References
  1. HE, D. L., & WU, X. (2013). Comparison in petroleum geology between Kuqa depression and Southwest depression in Tarim Basin and its exploration significance. Acta Petrolei Sinica, 34(2), 201.
    [CrossRef]   [Google Scholar]
  2. Qun, L. E. I., Yun, X. U., Zhanwei, Y. A. N. G., Bo, C. A. I., Xin, W. A. N. G., Lang, Z. H. O. U., ... & Liwei, W. A. N. G. (2021). Progress and development directions of stimulation techniques for ultra-deep oil and gas reservoirs. Petroleum Exploration and Development, 48(1), 221-231.
    [CrossRef]   [Google Scholar]
  3. Jiang, T., & Sun, X. (2019). Development of Keshen ultra-deep and ultra-high pressure gas reservoirs in the Kuqa foreland basin, Tarim Basin: Understanding and technical countermeasures. Natural Gas Industry B, 6(1), 16-24.
    [CrossRef]   [Google Scholar]
  4. Wang, R., Zhang, C., Chen, D., Yang, F., Li, H., & Li, M. (2022). Microscopic Seepage Mechanism of Gas and Water in Ultra-Deep Fractured Sandstone Gas Reservoirs of Low Porosity: A Case Study of Keshen Gas Field in Kuqa Depression of Tarim Basin, China. Frontiers in Earth Science, 10, 893701.
    [CrossRef]   [Google Scholar]
  5. Xusheng, G. U. O., Xiaoxiao, M. A., Maowen, L. I., Menhui, Q. I. A. N., & Zongquan, H. U. (2023). Mechanisms for lacustrine shale oil enrichment in Chinese sedimentary basins. Oil & Gas Geology, 44(6), 1333-1349.
    [CrossRef]   [Google Scholar]
  6. Chonglong, G. A. O., Jian, W. A. N. G., Jun, J. I. N., Ming, L. I. U., Ying, R. E. N., Ke, L. I. U., ... & Yi, D. E. N. G. (2023). Heterogeneity and differential hydrocarbon accumulation model of deep reservoirs in foreland thrust belts: A case study of deep Cretaceous Qingshuihe Formation clastic reservoirs in southern Junggar Basin, NW China. Petroleum Exploration and Development, 50(2), 360-372.
    [CrossRef]   [Google Scholar]
  7. Zhai, M., Wang, D., Zhang, Z., Zhang, L., Yang, F., Huang, B., ... & Li, L. (2022). Numerical simulation and multi-factor optimization of hydraulic fracturing in deep naturally fractured sandstones based on response surface method. Engineering Fracture Mechanics, 259, 108110.
    [CrossRef]   [Google Scholar]
  8. Wang, K., Zhang, R., Zeng, Q., & Wang, J. (2022). Formation mechanism and hydrocarbon exploration significance of the box fold in the Qiulitage structural belt, the Kuqa Depression, Tarim Basin, China. Journal of Natural Gas Geoscience, 7(6), 333-346.
    [CrossRef]   [Google Scholar]
  9. Song, X., Lü, X., Shen, Y., & Guo, S. (2019). Hydrocarbon migration and accumulation history in deep reservoirs: A case study of Mesozoic sandstone gas reservoirs in the Kelasu-Yiqikelike structural belt of the Kuqa Depression, Tarim Basin. Geosciences Journal, 23(1), 69-86.
    [CrossRef]   [Google Scholar]
  10. Zhiyong, G. A. O., Yongping, W. U., Zhaolong, L. I. U., Cong, W. E. I., Cuili, W. A. N. G., & Qunming, L. I. U. (2023). Development model and significance of favorable lithofacies association of sandy braided river facies of the Cretaceous Bashijiqike Formation in Zhongqiu 1 well block, Kuqa Depression, Tarim Basin. Oil & Gas Geology, 44(5), 1141-1158.
    [CrossRef]   [Google Scholar]
  11. Wang, R., Gang, W., Huang, Z., Guo, X., Pan, Y., Zhao, L., & Mo, T. (2025). The Sources of Diagenetic Fluids and Diagenetic Evolution Model in Deep‐to‐Ultra‐Deep Tight Sandstone Reservoirs: A Case Study From Bashijiqike Formation, Kalesu Belt, Kuqa Depression, Tarim Basin, NW, China. Geological Journal.
    [CrossRef]   [Google Scholar]
  12. Deng, J., Liu, M., Ji, Y., Tang, D., Zeng, Q., Song, L., ... & Lian, C. (2022). Controlling factors of tight sandstone gas accumulation and enrichment in the slope zone of foreland basins: The Upper Triassic Xujiahe Formation in Western Sichuan Foreland Basin, China. Journal of Petroleum Science and Engineering, 214, 110474.
    [CrossRef]   [Google Scholar]
  13. Chen, D., Zhang, C., Yang, M., Li, H., Wang, C., Diwu, P., ... & Wang, Y. (2024). Research on water invasion law and control measures for ultradeep, fractured, and low-porosity sandstone gas reservoirs: A case study of Kelasu gas reservoirs in Tarim Basin. Processes, 12(2), 310.
    [CrossRef]   [Google Scholar]
  14. Mingxiang, M., Bingsong, Y., & Weiguang, J. (2004). Sequence Stratigraphy of the desert system: A case study of the Lower Cretaceous in the Kuqa Basin in Xinjiang, northwestern China. Acta Geologica Sinica‐English Edition, 78(3), 744-755.
    [CrossRef]   [Google Scholar]
  15. Wen, C., & Wang, Z. (2024). Quantitative Evaluation and Evolution of Overpressure in the Deep Layers of a Foreland Basin: Examples from the Lower Cretaceous Bashijiqike Formation in the Keshen Area, Kuqa Depression, Tarim Basin, China. Sustainability, 16(24), 10884.
    [CrossRef]   [Google Scholar]
  16. Li, J., Wei, C., Ma, X., & Yu, H. (2015, October). Application of sequence stratigraphy framework in improving the precision of seismic inversion. In SEG International Exposition and Annual Meeting (pp. SEG-2015). SEG.
    [Google Scholar]
  17. Yang, W., Liu, M., Wei, G., Jin, H., Xie, W., Wu, S., ... & Wang, X. (2021). Lithofacies paleogeography and characteristics of large-scale reservoirs of the Middle Triassic Leikoupo Formation in Sichuan Basin, China. Journal of Natural Gas Geoscience, 6(5), 255-268.
    [CrossRef]   [Google Scholar]
  18. Tingting, K. A. N. G., Fengquan, Z. H. A. O., Lu, F. A. N. G., Haonan, T. I. A. N., Guo, Y. A. N. G., Fangjie, H. U., ... & Liangang, Y. A. N. G. (2022). Sequence stratigraphy and sedimentary facies of pebbled sandstones in coastal system and their controlling effect on the development of high quality reservoirs: Case study of Tazhong 2 well block, Tarim Basin. Natural Gas Geoscience, 33(5), 731-741.
    [CrossRef]   [Google Scholar]
  19. Li, Q., Ren, D., Wang, H., Sun, H., Li, T., Zhang, H., ... & Qu, L. (2024). Microscopic characteristics of tight sandstone reservoirs and their effects on the imbibition efficiency of fracturing fluids: A case study of the Linxing area, Ordos Basin. Energy Geoscience, 5(3), 100302.
    [CrossRef]   [Google Scholar]
  20. Qi, Y., Wu, K., Li, Q., Zheng, X., Wang, B., Li, D., & Tang, W. (2025). Seismic prediction technology for thin reservoirs of tight gas in coal measure strata: a case study of Block L in the eastern margin of the Ordos Basin. Frontiers in Earth Science, 12, 1487487.
    [CrossRef]   [Google Scholar]
  21. Chatterjee, S., Zhao, H., & Zhang, S. (2025, November). Seismic Waveform-Driven Characterization Using Full Frequency Inversion (FFI): A Case Study in Enhanced Seismic Reservoir Characterization from the North-West Shelf, Offshore Australia. In Abu Dhabi International Petroleum Exhibition and Conference (p. D041S158R001). SPE.
    [CrossRef]   [Google Scholar]
  22. Yongshou, Z., Peiling, M., Ning, Y., Xiaochuan, Y., Yaozu, H., & Wei, L. (2024, October). Application of seismic inversion constrained geological modeling technology in quantitative characterization of thin reservoirs. In Journal of Physics: Conference Series (Vol. 2834, No. 1, p. 012206). IOP Publishing.
    [CrossRef]   [Google Scholar]
  23. Li, X., Chen, Q., Wu, C., Liu, H., & Fang, Y. (2016). Application of multi-seismic attributes analysis in the study of distributary channels. Marine and Petroleum Geology, 75, 192-202.
    [CrossRef]   [Google Scholar]
  24. Niu, C., Wang, J. H., Ye, Y. F., Ling, Y., Wang, C., Wang, D., & Zhou, P. (2024). Depth-domain well–seismic calibration method and application based on constrained dynamic warping. Applied Geophysics, 1-16.
    [CrossRef]   [Google Scholar]
  25. Lideng, G., Xiaofeng, D. A. I., Linggao, L. I., Wenhui, D. U., Xiaohong, L. I. U., Yinbo, G. A. O., ... & Shufang, M. A. (2012). Key technologies for seismic reservoir characterization of high water-cut oilfields. Petroleum exploration and development, 39(3), 391-404.
    [CrossRef]   [Google Scholar]
  26. Xie, Q., Wu, Y., Huang, Q., Hu, Y., Hu, X., Guo, X., ... & Wu, B. (2023). Prediction of Marine Thin Shale Gas Reservoir with Seismic Phase-Controlled Nonlinear Stochastic Inversion. Processes, 11(8), 2301.
    [CrossRef]   [Google Scholar]

Cite This Article
APA Style
Li, Y., Shan, C., & Mi, X. (2026). Identification and Distribution Characteristics of Mudstone Intercalations in Ultra-Deep Tight Fractured Sandstone Gas Reservoirs A Case Study of the Keshen A Gas Reservoir, Tarim Basin. Journal of Geo-Energy and Environment, 2(1), 34–45. https://doi.org/10.62762/JGEE.2025.797111
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TY  - JOUR
AU  - Li, Yanan
AU  - Shan, Changan
AU  - Mi, Xinwu
PY  - 2026
DA  - 2026/02/02
TI  - Identification and Distribution Characteristics of Mudstone Intercalations in Ultra-Deep Tight Fractured Sandstone Gas Reservoirs: A Case Study of the Keshen A Gas Reservoir, Tarim Basin
JO  - Journal of Geo-Energy and Environment
T2  - Journal of Geo-Energy and Environment
JF  - Journal of Geo-Energy and Environment
VL  - 2
IS  - 1
SP  - 34
EP  - 45
DO  - 10.62762/JGEE.2025.797111
UR  - https://www.icck.org/article/abs/JGEE.2025.797111
KW  - keshen block
KW  - cretaceous
KW  - tight sandstone
KW  - mud interlayer
KW  - multi-scale recognition
KW  - water intrusion prevention and control
AB  - The ultra-deep tight sandstone gas reservoirs in the Tarim Basin, exemplified by the Keshen A gas reservoir, face escalating challenges of water invasion and pressure maintenance after years of production. Interlayers within these reservoirs serve as critical geological barriers, yet their spatial distribution remains poorly resolved due to limitations in conventional identification methods. This study integrates core, logging, 3D seismic, and production data within a sequence stratigraphic and reservoir geology framework to establish a ``core-logging-seismic'' collaborative identification system for argillaceous interlayers. Two main interlayer types—argillaceous and physical—are identified within the Bashijiqike Formation. Argillaceous interlayers exhibit distinctive logging responses (``high GR, high AC, low resistivity''), and seismic half-width attributes effectively delineate their lateral distribution. These interlayers are predominantly concentrated in the K1bs2 interval, with thicknesses of 0.8–2.5 m and a NW-SE oriented planar distribution. Based on thickness and lateral extent, they are classified into three levels (single-well, well-group, and reservoir-scale). Interlayers exceeding 1.5 m in thickness with good lateral continuity form effective flow barriers that significantly suppress water invasion. The findings were applied to well-pattern optimization in 2023, reducing overall water influx by 37% and increasing estimated recovery by 8.2%, supporting a transition from empirical to geologically-guided development in ultra-deep tight reservoirs.
SN  - 3069-3268
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
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@article{Li2026Identifica,
  author = {Yanan Li and Changan Shan and Xinwu Mi},
  title = {Identification and Distribution Characteristics of Mudstone Intercalations in Ultra-Deep Tight Fractured Sandstone Gas Reservoirs: A Case Study of the Keshen A Gas Reservoir, Tarim Basin},
  journal = {Journal of Geo-Energy and Environment},
  year = {2026},
  volume = {2},
  number = {1},
  pages = {34-45},
  doi = {10.62762/JGEE.2025.797111},
  url = {https://www.icck.org/article/abs/JGEE.2025.797111},
  abstract = {The ultra-deep tight sandstone gas reservoirs in the Tarim Basin, exemplified by the Keshen A gas reservoir, face escalating challenges of water invasion and pressure maintenance after years of production. Interlayers within these reservoirs serve as critical geological barriers, yet their spatial distribution remains poorly resolved due to limitations in conventional identification methods. This study integrates core, logging, 3D seismic, and production data within a sequence stratigraphic and reservoir geology framework to establish a ``core-logging-seismic'' collaborative identification system for argillaceous interlayers. Two main interlayer types—argillaceous and physical—are identified within the Bashijiqike Formation. Argillaceous interlayers exhibit distinctive logging responses (``high GR, high AC, low resistivity''), and seismic half-width attributes effectively delineate their lateral distribution. These interlayers are predominantly concentrated in the K1bs2 interval, with thicknesses of 0.8–2.5 m and a NW-SE oriented planar distribution. Based on thickness and lateral extent, they are classified into three levels (single-well, well-group, and reservoir-scale). Interlayers exceeding 1.5 m in thickness with good lateral continuity form effective flow barriers that significantly suppress water invasion. The findings were applied to well-pattern optimization in 2023, reducing overall water influx by 37\% and increasing estimated recovery by 8.2\%, supporting a transition from empirical to geologically-guided development in ultra-deep tight reservoirs.},
  keywords = {keshen block, cretaceous, tight sandstone, mud interlayer, multi-scale recognition, water intrusion prevention and control},
  issn = {3069-3268},
  publisher = {Institute of Central Computation and Knowledge}
}

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