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Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections
Research Article  ·  Published: 18 January 2026
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Reservoir Science
Volume 2, Issue 1, 2026: 34-51
Research Article Open Access

Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections

by
Muhammad Usman Tahir Muhammad Usman Tahir 1
Shenglan Guo Shenglan Guo 2 * ORCID
1 Atland Petro FZC, Sharjah 1377, United Arab Emirates
2 Guangzhou Gas Group Co., Ltd., Guangzhou 511436, China
* Corresponding Author: Shenglan Guo, [email protected]
Volume 2, Issue 1
Volume 2, Issue 1 2026
Received: 15 November 2025 Revised: 07 January 2026 Accepted: 10 January 2026 Published: 18 January 2026 CrossMark
Download PDF 2.21 MB Cite Metrics
DOI: 10.62762/RS.2025.759326
ARK: ark:/57805/rs.2025.759326

Article Information

Published in Reservoir Science
Volume/Issue Volume 2, Issue 1, 2026
Pages 34-51
Cited by 39 (Crossref) 40 (Scopus)

Abstract

The low concentration and poor reservoir properties of natural hydrogen suggest that reservoir stimulation measures such as fracturing are required for its efficient development. Nevertheless, the presence of reservoir imperfections, including hard and soft cores, can significantly affect fracture behavior during the fracturing operations. Moreover, there is currently a lack of relevant simulation and experimental studies addressing these effects. In the present work, the effects and mechanisms of hard cores on fracture propagation in natural hydrogen reservoirs in the Songliao basin were numerically simulated. In addition, various factors affecting propagation behavior of fracture were also analyzed. The investigation results indicate that the presence of hard cores induces the fracture propagation mode from “straight-line dominated” to “path optimization” (obstacle-avoidance) pattern, which consequently decreases propagation efficiency. The final fracture length exhibits a reduction of 12.63% compared with that in the homogeneous reservoir case, accompanied by an increase of 18.49% in the final fracture width. Furthermore, higher hard core strength and leakage coefficients significantly decrease fracture propagation efficiency, promoting the development of wide, short fractures. This research offers a preliminary theoretical framework to support the stimulation and efficient development of imperfection-bearing natural hydrogen reservoirs.

Graphical Abstract

Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections

Keywords

natural hydrogen carbon dioxide-based fracturing reservoir imperfection fracture initiation fracture propagation

Data Availability Statement

Data will be made available on request.

Funding

This work was supported without any funding.

Conflicts of Interest

Muhammad Usman Tahir is affiliated with the Atland Petro FZC, Sharjah 1377, United Arab Emirates, and Shenglan Guo is affiliated with the Guangzhou Gas Group Co., Ltd., Guangzhou 511436, China. The authors declare that these affiliations 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. Zgonnik, V. (2020). The occurrence and geoscience of natural hydrogen: A comprehensive review. Earth-Science Reviews, 203, 103140.
    [CrossRef] [Google Scholar]
  2. Dawood, F., Anda, M., & Shafiullah, G. M. (2020). Hydrogen production for energy: An overview. International journal of hydrogen energy, 45(7), 3847-3869.
    [CrossRef] [Google Scholar]
  3. Blay-Roger, R., Bach, W., Bobadilla, L. F., Reina, T. R., Odriozola, J. A., Amils, R., & Blay, V. (2024). Natural hydrogen in the energy transition: Fundamentals, promise, and enigmas. Renewable and Sustainable Energy Reviews, 189, 113888.
    [CrossRef] [Google Scholar]
  4. Gaucher, E. C. (2020). New perspectives in the industrial exploration for native hydrogen. Elements: An International Magazine of Mineralogy, Geochemistry, and Petrology, 16(1), 8-9.
    [CrossRef] [Google Scholar]
  5. Prinzhofer, A., Cissé, C. S. T., & Diallo, A. B. (2018). Discovery of a large accumulation of natural hydrogen in Bourakebougou (Mali). International Journal of Hydrogen Energy, 43(42), 19315-19326.
    [CrossRef] [Google Scholar]
  6. Milkov, A. V. (2022). Molecular hydrogen in surface and subsurface natural gases: Abundance, origins and ideas for deliberate exploration. Earth-Science Reviews, 230, 104063.
    [CrossRef] [Google Scholar]
  7. Maiga, O., Deville, E., Laval, J., Prinzhofer, A., & Diallo, A. B. (2023). Characterization of the spontaneously recharging natural hydrogen reservoirs of Bourakebougou in Mali. Scientific reports, 13(1), 11876.
    [CrossRef] [Google Scholar]
  8. Hassanpouryouzband, A., Armitage, T., Cowen, T., Thaysen, E. M., McMahon, S., Hajibeygi, H., ... & Haszeldine, R. S. (2025). The search for natural hydrogen: a hidden energy giant or an elusive dream?. ACS Energy Letters, 10(8), 3887-3891.
    [CrossRef] [Google Scholar]
  9. Arrouvel, C., & Prinzhofer, A. (2021). Genesis of natural hydrogen: New insights from thermodynamic simulations. International Journal of Hydrogen Energy, 46(36), 18780–18794.
    [CrossRef] [Google Scholar]
  10. Prinzhofer, A., Moretti, I., Françolin, J., Pacheco, C., d'Agostino, A., Werly, J., & Rupin, F. (2019). Natural hydrogen continuous emission from sedimentary basins: The example of a Brazilian H2-emitting structure. International Journal of Hydrogen Energy, 44(12), 5676-5685.
    [CrossRef] [Google Scholar]
  11. AlTammar, M. J., Agrawal, S., & Sharma, M. M. (2019). Effect of geological layer properties on hydraulic-fracture initiation and propagation: an experimental study. SPE Journal, 24(02), 757-794.
    [CrossRef] [Google Scholar]
  12. Dahi-Taleghani, A., & Olson, J. E. (2011). Numerical modeling of multistranded-hydraulic-fracture propagation: accounting for the interaction between induced and natural fractures. SPE journal, 16(03), 575-581.
    [CrossRef] [Google Scholar]
  13. Zhang, X., & Jeffrey, R. G. (2006). The role of friction and secondary flaws on deflection and re-initiation of hydraulic fractures at orthogonal pre-existing fractures. Geophysical Journal International, 166(3), 1454-1465.
    [CrossRef] [Google Scholar]
  14. Ellis, G. S., & Gelman, S. E. (2024). Model predictions of global geologic hydrogen resources. Science Advances, 10(50), eado0955.
    [CrossRef] [Google Scholar]
  15. Boreham, C. J., Edwards, D. S., Czado, K., Rollet, N., Wang, L., van der Wielen, S., ... & Henson, P. A. (2021). Hydrogen in Australian natural gas: occurrences, sources and resources. The APPEA Journal, 61(1), 163-191.
    [CrossRef] [Google Scholar]
  16. Lefeuvre, N., Truche, L., Donzé, F. V., Ducoux, M., Barré, G., Fakoury, R. A., ... & Gaucher, E. C. (2021). Native H2 exploration in the western Pyrenean foothills. Geochemistry, Geophysics, Geosystems, 22(8), e2021GC009917.
    [CrossRef] [Google Scholar]
  17. Moretti, I., Brouilly, E., Loiseau, K., Prinzhofer, A., & Deville, E. (2021). Hydrogen emanations in intracratonic areas: new guide lines for early exploration basin screening. Geosciences, 11(3), 145.
    [CrossRef] [Google Scholar]
  18. Guo, T., Wang, X., Li, Z., Gong, F., Lin, Q., Qu, Z., Lv, W., Tian, Q., & Xie, Z. (2019). Numerical simulation study on fracture propagation of zipper and synchronous fracturing in hydrogen energy development. International Journal of Hydrogen Energy, 44(11), 5270–5285.
    [CrossRef] [Google Scholar]
  19. Liang, X., Zhou, F., Liang, T., Wang, C., Wang, J., & Yuan, S. (2020). Impacts of low harm fracturing fluid on fossil hydrogen energy production in tight reservoirs. International Journal of Hydrogen Energy, 45(41), 21195–21204.
    [CrossRef] [Google Scholar]
  20. Liu, X., Qu, Z., Guo, T., Tian, Q., Lv, W., Xie, Z., & Chu, C. (2019). An innovative technology of directional propagation of hydraulic fracture guided by radial holes in fossil hydrogen energy development. International Journal of Hydrogen Energy, 44(11), 5286–5302.
    [CrossRef] [Google Scholar]
  21. Lu, Y., Li, H., Lu, C., Wu, K., Chen, Z., Wang, K., Luo, H., & Shan, J. (2019). The effect of completion strategy on fracture propagation from multiple cluster perforations in fossil hydrogen energy development. International Journal of Hydrogen Energy, 44(14), 7168–7180.
    [CrossRef] [Google Scholar]
  22. Horsfield, B., Mahlstedt, N., Weniger, P., Misch, D., Vranjes-Wessely, S., Han, S., & Wang, C. (2022). Molecular hydrogen from organic sources in the deep Songliao Basin, PR China. International Journal of Hydrogen Energy, 47(38), 16750-16774.
    [CrossRef] [Google Scholar]
  23. Ming-Yuan, H., & Hutchinson, J. W. (1989). Crack deflection at an interface between dissimilar elastic materials. International journal of solids and structures, 25(9), 1053-1067.
    [CrossRef] [Google Scholar]
  24. Gu, H., Weng, X., Lund, J., Mack, M., Ganguly, U., & Suarez-Rivera, R. (2012). Hydraulic fracture crossing natural fracture at nonorthogonal angles: a criterion and its validation. SPE Production & Operations, 27(01), 20-26.
    [CrossRef] [Google Scholar]
  25. Wang, L., Jin, Z., Liu, Q., Liu, K., Meng, Q., Huang, X., Su, Y., & Zhang, Q. (2024). The occurrence pattern of natural hydrogen in the Songliao Basin, PR China: Insights on natural hydrogen exploration. International Journal of Hydrogen Energy, 50(Part A), 261–275.
    [CrossRef] [Google Scholar]
  26. Frery, E., Langhi, L., Maison, M., & Moretti, I. (2021). Natural hydrogen seeps identified in the North Perth basin, Western Australia. International Journal of Hydrogen Energy, 46(61), 31158-31173.
    [CrossRef] [Google Scholar]
  27. Carrier, B., & Granet, S. (2012). Numerical modeling of hydraulic fracture problem in permeable medium using cohesive zone model. Engineering fracture mechanics, 79, 312-328.
    [CrossRef] [Google Scholar]
  28. Li, Q., Li, Y., Cheng, Y., Li, Q., Wang, F., Wei, J., Liu, Y., Zhang, C., Song, B., Yan, C., & Ansari, U. (2018). Numerical simulation of fracture reorientation during hydraulic fracturing in perforated horizontal well in shale reservoirs. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 40(15), 1807–1813.
    [CrossRef] [Google Scholar]
  29. Chen, Z., Bunger, A. P., Zhang, X., & Jeffrey, R. G. (2009). Cohesive zone finite element-based modeling of hydraulic fractures. Acta Mechanica Solida Sinica, 22(5), 443-452.
    [CrossRef] [Google Scholar]
  30. Wang, H. (2015). Numerical modeling of non-planar hydraulic fracture propagation in brittle and ductile rocks using XFEM with cohesive zone method. Journal of Petroleum Science and Engineering, 135, 127-140.
    [CrossRef] [Google Scholar]
  31. Ismail, A., & Azadbakht, S. (2024). A comprehensive review of numerical simulation methods for hydraulic fracturing. International Journal for Numerical and Analytical Methods in Geomechanics, 48(5), 1433–1459.
    [CrossRef] [Google Scholar]
  32. Ao, F., Qingchao, L., Qiang, L., Jingjuan, W., Fuling, W., & Chuanliang, Y. (2025). Numerical Simulation Investigation of Fracture Propagation Behavior Patterns and Sensitivity Factors of Oil Shale Reservoirs in the Xunyi Region Considering the Influence of Natural Fracture. Geofluids, 2025(1), 2762142.
    [CrossRef] [Google Scholar]
  33. Li, L. C., Tang, C. A., Li, G., Wang, S. Y., Liang, Z. Z., & Zhang, Y. B. (2012). Numerical simulation of 3D hydraulic fracturing based on an improved flow-stress-damage model and a parallel FEM technique. Rock Mechanics and Rock Engineering, 45(5), 801–818.
    [CrossRef] [Google Scholar]
  34. Hossain, M. M., & Rahman, M. K. (2008). Numerical simulation of complex fracture growth during tight reservoir stimulation by hydraulic fracturing. Journal of Petroleum Science and Engineering, 60(2), 86–104.
    [CrossRef] [Google Scholar]
  35. Li, D. Q., Zhang, S. C., & Zhang, S. A. (2014). Experimental and numerical simulation study on fracturing through interlayer to coal seam. Journal of Natural Gas Science and Engineering, 21, 386–396.
    [CrossRef] [Google Scholar]
  36. Zhao, Q., Lisjak, A., Mahabadi, O., Liu, Q., & Grasselli, G. (2014). Numerical simulation of hydraulic fracturing and associated microseismicity using finite-discrete element method. Journal of Rock Mechanics and Geotechnical Engineering, 6(6), 574–581.
    [CrossRef] [Google Scholar]
  37. Wang, T., Guo, Z., Li, G., Ma, Z., Yong, Y., & Tian, S. (2023). Numerical simulation of three-dimensional fracturing fracture propagation in radial wells. Petroleum Exploration and Development, 50(3), 699–711.
    [CrossRef] [Google Scholar]
  38. Guo, C., Xu, J., Wei, M., & Jiang, R. (2015). Experimental study and numerical simulation of hydraulic fracturing tight sandstone reservoirs. Fuel, 159, 334–344.
    [CrossRef] [Google Scholar]
  39. Xu, B., Liu, Y., Wang, Y., Yang, G., Yu, Q., & Wang, F. (2018). A new method and application of full 3D numerical simulation for hydraulic fracturing horizontal fracture. Energies, 12(1), 48.
    [CrossRef] [Google Scholar]
  40. Huang, L., Liao, X., Fan, M., Wu, S., Tan, P., & Yang, L. (2024). Experimental and numerical simulation technique for hydraulic fracturing of shale formations. Advances in Geo-Energy Research, 13(2), 83–88.
    [CrossRef] [Google Scholar]
  41. Sun, J., & Schechter, D. (2015). Investigating the effect of improved fracture conductivity on production performance of hydraulically fractured wells: Field-case studies and numerical simulations. Journal of Canadian Petroleum Technology, 54(06), 442–449.
    [CrossRef] [Google Scholar]
  42. Ren, Q., Li, L., Wang, J., Jiang, R., Li, M., & Feng, J. (2024). Dynamic evolution mechanism of the fracturing fracture system—Enlightenments from hydraulic fracturing physical experiments and finite element numerical simulation. Petroleum Science, 21(6), 3839–3866.
    [CrossRef] [Google Scholar]
  43. Li, Y., Deng, J., Liu, W., Yan, W., Feng, Y., Cao, W., Wang, P., & Hou, Y. (2017). Numerical simulation of limited-entry multi-cluster fracturing in horizontal well. Journal of Petroleum Science and Engineering, 152, 443–455.
    [CrossRef] [Google Scholar]
  44. Zeng, Q., & Yao, J. (2016). Numerical simulation of fracture network generation in naturally fractured reservoirs. Journal of Natural Gas Science and Engineering, 30, 430–443.
    [CrossRef] [Google Scholar]
  45. Zhao, J., Wang, Z., Lin, R., Ren, L., Wu, J., & Wu, J. (2023). Numerical simulation of diverting fracturing for staged fracturing horizontal well in shale gas reservoir. Journal of Energy Resources Technology, 145(5), 053202.
    [CrossRef] [Google Scholar]
  46. Liu, X., Qu, Z., Guo, T., Sun, Y., Wang, Z., & Bakhshi, E. (2019). Numerical simulation of non-planar fracture propagation in multi-cluster fracturing with natural fractures based on Lattice methods. Engineering Fracture Mechanics, 220, 106625.
    [CrossRef] [Google Scholar]
  47. Lu, C., Ma, L., Li, Z., Huang, F., Huang, C., Yuan, H., & Guo, J. (2020). A novel hydraulic fracturing method based on the coupled CFD-DEM numerical simulation study. Applied Sciences, 10(9), 3027.
    [CrossRef] [Google Scholar]
  48. Sanchez, E. C. M., Cordero, J. A. R., & Roehl, D. (2020). Numerical simulation of three-dimensional fracture interaction. Computers and Geotechnics, 122, 103528.
    [CrossRef] [Google Scholar]

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APA Style
Tahir, M. U., & Guo, S. (2026). Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections. Reservoir Science, 2(1), 34-51. https://doi.org/10.62762/RS.2025.759326
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TY  - JOUR
AU  - Tahir, Muhammad Usman
AU  - Guo, Shenglan
PY  - 2026
DA  - 2026/01/18
TI  - Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections
JO  - Reservoir Science
T2  - Reservoir Science
JF  - Reservoir Science
VL  - 2
IS  - 1
SP  - 34
EP  - 51
DO  - 10.62762/RS.2025.759326
UR  - https://www.icck.org/article/abs/RS.2025.759326
KW  - natural hydrogen
KW  - carbon dioxide-based fracturing
KW  - reservoir imperfection
KW  - fracture initiation
KW  - fracture propagation
AB  - The low concentration and poor reservoir properties of natural hydrogen suggest that reservoir stimulation measures such as fracturing are required for its efficient development. Nevertheless, the presence of reservoir imperfections, including hard and soft cores, can significantly affect fracture behavior during the fracturing operations. Moreover, there is currently a lack of relevant simulation and experimental studies addressing these effects. In the present work, the effects and mechanisms of hard cores on fracture propagation in natural hydrogen reservoirs in the Songliao basin were numerically simulated. In addition, various factors affecting propagation behavior of fracture were also analyzed. The investigation results indicate that the presence of hard cores induces the fracture propagation mode from “straight-line dominated” to “path optimization” (obstacle-avoidance) pattern, which consequently decreases propagation efficiency. The final fracture length exhibits a reduction of 12.63% compared with that in the homogeneous reservoir case, accompanied by an increase of 18.49% in the final fracture width. Furthermore, higher hard core strength and leakage coefficients significantly decrease fracture propagation efficiency, promoting the development of wide, short fractures. This research offers a preliminary theoretical framework to support the stimulation and efficient development of imperfection-bearing natural hydrogen reservoirs.
SN  - 3070-2356
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Tahir2026Preliminar,
  author = {Muhammad Usman Tahir and Shenglan Guo},
  title = {Preliminary Investigation of Fracture Behavior during Carbon Dioxide Fracturing of Natural Hydrogen Reservoir with Hard-Core Imperfections},
  journal = {Reservoir Science},
  year = {2026},
  volume = {2},
  number = {1},
  pages = {34-51},
  doi = {10.62762/RS.2025.759326},
  url = {https://www.icck.org/article/abs/RS.2025.759326},
  abstract = {The low concentration and poor reservoir properties of natural hydrogen suggest that reservoir stimulation measures such as fracturing are required for its efficient development. Nevertheless, the presence of reservoir imperfections, including hard and soft cores, can significantly affect fracture behavior during the fracturing operations. Moreover, there is currently a lack of relevant simulation and experimental studies addressing these effects. In the present work, the effects and mechanisms of hard cores on fracture propagation in natural hydrogen reservoirs in the Songliao basin were numerically simulated. In addition, various factors affecting propagation behavior of fracture were also analyzed. The investigation results indicate that the presence of hard cores induces the fracture propagation mode from “straight-line dominated” to “path optimization” (obstacle-avoidance) pattern, which consequently decreases propagation efficiency. The final fracture length exhibits a reduction of 12.63\% compared with that in the homogeneous reservoir case, accompanied by an increase of 18.49\% in the final fracture width. Furthermore, higher hard core strength and leakage coefficients significantly decrease fracture propagation efficiency, promoting the development of wide, short fractures. This research offers a preliminary theoretical framework to support the stimulation and efficient development of imperfection-bearing natural hydrogen reservoirs.},
  keywords = {natural hydrogen, carbon dioxide-based fracturing, reservoir imperfection, fracture initiation, fracture propagation},
  issn = {3070-2356},
  publisher = {Institute of Central Computation and Knowledge}
}

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