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Optimizing drilling fluid rheology with hybrid nanoparticles boron nitride and graphene nanosheets: an experimental study
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  • Published: 02 April 2026

Optimizing drilling fluid rheology with hybrid nanoparticles boron nitride and graphene nanosheets: an experimental study

  • Rashid Pourrajab1,
  • Mohammad Behbahani2 &
  • Seyed Nasser Moosavi1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Energy science and technology
  • Engineering
  • Materials science
  • Nanoscience and technology

Abstract

The rheological performance of oil-based drilling fluids was enhanced using graphene nanosheets and graphene–boron nitride hybrid nanoparticles. Optimized rheology is critical for efficient cuttings transport, wellbore stability, and cost-effective drilling. Graphene nanosheets (100–1500 mg/L) increased apparent viscosity (AV) by up to 90% and plastic viscosity (PV) by up to 106% compared to the base mud across 140–240 °F, with negligible density change. The graphene–boron nitride hybrid system exhibited concentration-dependent nonlinear behavior: viscosities decreased at low concentrations (100–500 mg/L) but rose markedly at higher concentrations (1000–1500 mg/L), achieving up to 164% increase in AV and 71% in PV at 1500 mg/L and 240 °F relative to the base fluid. This synergistic effect arises from graphene’s lubricating properties combined with boron nitride’s structural reinforcement, enabling formation of a robust nanoparticle network that resists thermal thinning. These findings demonstrate that hybrid nanoparticles offer a tunable, effective strategy to customize drilling fluid rheology, improve hydraulic efficiency, reduce torque and drag, and lower operational costs in high-temperature environments.

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Data availability

Data will be made available on request.

References

  1. Ahmed, H. M., Kamal, M. S. & Al-Harthi, M. Polymeric and low molecular weight shale inhibitors: A review. Fuel 251, 187–217. https://doi.org/10.1016/j.fuel.2019.04.038 (2019). https://doi.org/https://doi.org/

    Google Scholar 

  2. Pang, S., Zhao, L. & An, Y. Advanced developments in nanotechnology and nanomaterials for the oil and gas industry: A review. Geoenergy Sci. Eng. 238, 212872. https://doi.org/10.1016/j.geoen.2024.212872 (2024).

    Google Scholar 

  3. Younes, H. et al. Nanofluids: Key parameters to enhance thermal conductivity and its applications. Appl. Therm. Eng. 207, 118202. https://doi.org/10.1016/j.applthermaleng.2022.118202 (2022).

    Google Scholar 

  4. Asadi, A. & Pourfattah, F. Heat transfer performance of two oil-based nanofluids containing ZnO and MgO nanoparticles; a comparative experimental investigation. Powder Technol. 343, 296–308. https://doi.org/10.1016/j.powtec.2018.11.023 (2019).

    Google Scholar 

  5. Yarmand, H. et al. Nanofluid based on activated hybrid of biomass carbon/graphene oxide: Synthesis, thermo-physical and electrical properties. Int. Commun. Heat Mass Transfer. 72, 10–15. https://doi.org/10.1016/j.icheatmasstransfer.2016.01.004 (2016).

    Google Scholar 

  6. Das, P. K. A review based on the effect and mechanism of thermal conductivity of normal nanofluids and hybrid nanofluids. J. Mol. Liq. 240, 420–446. https://doi.org/10.1016/j.molliq.2017.05.071 (2017).

    Google Scholar 

  7. Katende, A. et al. Improving the performance of oil based mud and water based mud in a high temperature hole using nanosilica nanoparticles. Colloids Surf. Physicochem Eng. Asp. 577, 645–673. https://doi.org/10.1016/j.colsurfa.2019.05.088 (2019).

    Google Scholar 

  8. Karakosta, K., Mitropoulos, A. C. & Kyzas, G. Z. A review in nanopolymers for drilling fluids applications. J. Mol. Struct. 1227, 129702 (2021).

    Google Scholar 

  9. Ahmed, N., Alam, M. S. & Salam, M. A. Experimental analysis of drilling fluid prepared by mixing iron (III) oxide nanoparticles with a KCl–Glycol–PHPA polymer-based mud used in drilling operation. J. Pet. Explor. Prod. Technol. 10, 3389–3397. https://doi.org/10.1007/s13202-020-00933-1 (2020).

    Google Scholar 

  10. Moraveji, M. K. et al. Application of amorphous silica nanoparticles in improving the rheological properties, filtration and shale stability of glycol-based drilling fluids. Int. Commun. Heat Mass Transfer. 115, 104625 (2020).

    Google Scholar 

  11. Kevin, N. M., Ben, H. & Mahmud Optimization of nano-silica in enhancing the properties of synthetic based drilling fluids for tight gas reservoir conditions. in IOP Conf. Ser. Mater. Sci. Eng. 12075 (IOP Publishing, :2019).

  12. Perween, S., Thakur, N. K., Beg, M., Sharma, S. & Ranjan, A. Enhancing the properties of water based drilling fluid using bismuth ferrite nanoparticles. Colloids Surf. Physicochem Eng. Asp. 561, 165–177 (2019).

    Google Scholar 

  13. Pourkhalil, H. & Nakhaee, A. Effect of nano ZnO on wellbore stability in shale: an experimental investigation. J. Pet. Sci. Eng. 173, 880–888 (2019).

    Google Scholar 

  14. Edalatfar, M., Yazdani, F. & Salehi, M. B. Synthesis and identification of ZnTiO3 nanoparticles as a rheology modifier additive in water-based drilling mud. J. Pet. Sci. Eng. 201, 108415. https://doi.org/10.1016/j.petrol.2021.108415 (2021).

    Google Scholar 

  15. Kamali, F., Saboori, R. & Sabbaghi, S. Fe3O4-CMC nanocomposite performance evaluation as rheology modifier and fluid loss control characteristic additives in water-based drilling fluid. J. Pet. Sci. Eng. 205, 108912 (2021).

    Google Scholar 

  16. Perumalsamy, J., Gupta, P. & Sangwai, J. S. Performance evaluation of esters and graphene nanoparticles as an additives on the rheological and lubrication properties of water-based drilling mud. J. Pet. Sci. Eng. 204, 108680 (2021).

    Google Scholar 

  17. Arain, A. H., Ridha, S., Ilyas, S. U., Mohyaldinn, M. E. & Suppiah, R. R. Evaluating the influence of graphene nanoplatelets on the performance of invert emulsion drilling fluid in high-temperature wells. J. Pet. Explor. Prod. Technol. 12, 2467–2491. https://doi.org/10.1007/s13202-022-01501-5 (2022).

    Google Scholar 

  18. Naderi, M. E., Khavarpour, M., Fazaeli, R. & Ghadi, A. Application of Copper Oxide Nanoparticles in Improving Filtration and Rheological Properties of Water-based Drilling Fluid. Iran. J. Oil Gas Sci. Technol. 11, 52–66 (2022).

    Google Scholar 

  19. Zhang, L. et al. Microscopic mechanism of enhanced thermal conductivity of hybrid nanofluids. Phys. Fluids 37 (2025).

  20. Zhang, L. et al. Molecular dynamics simulations of the thermal conductivity enhancement of a propylene glycol nanofluid coolant. J. Mol. Liq. 433, 127761 (2025).

    Google Scholar 

  21. Zhang, L. et al. Molecular dynamics study on the enhancement mechanism of thermal conductivity of copper nanofluids and the flow characteristics of microchannels. J. Mol. Liq 128655 (2025).

  22. Kanti, P. K. & Maiya, M. P. Rheology and thermal conductivity of graphene oxide and coal fly ash hybrid nanofluids for various particle mixture ratios for heat transfer applications: Experimental study. Int. Commun. Heat Mass Transfer. 138, 106408. https://doi.org/10.1016/j.icheatmasstransfer.2022.106408 (2022).

    Google Scholar 

  23. Kanti, P. K., Sharma, P., Maiya, M. P. & Sharma, K. V. The stability and thermophysical properties of Al2O3-graphene oxide hybrid nanofluids for solar energy applications: Application of robust autoregressive modern machine learning technique. Sol. Energy Mater. Sol. Cells. 253, 112207. https://doi.org/10.1016/j.solmat.2023.112207 (2023).

    Google Scholar 

  24. Kumar Kanti, P., Sharma, P., Sharma, K. V. & Maiya, M. P. The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications: Application of novel machine learning technique. J. Energy Chem. 82, 359–374. https://doi.org/10.1016/j.jechem.2023.04.001 (2023).

    Google Scholar 

  25. Kanti, P. K., Paramasivam, P., Wanatasanappan, V. V., Dhanasekaran, S. & Sharma, P. Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids. Sci. Rep. 14, 30967 (2024).

    Google Scholar 

  26. Kumar, P., Jayan, K. D., Sharma, P. & Alruqi, M. Thermo-electro-rheological properties of graphene oxide and MXene hybrid nanofluid for vanadium redox flow battery: Application of explainable ensemble machine learning with hyperparameter optimization. FlatChem 43, 100606 (2024).

    Google Scholar 

  27. Kanti, P. K., Sharma, P., Koneru, B., Banerjee, P. & Jayan, K. D. Thermophysical profile of graphene oxide and MXene hybrid nanofluids for sustainable energy applications: Model prediction with a Bayesian optimized neural network with K-cross fold validation. FlatChem 39, 100501 (2023).

    Google Scholar 

  28. Arain, A. H. & Ridha, S. Effect of multifunctional boron nitride nanoparticles on the performance of oil-based drilling fluids in high-temperature unconventional formation drilling. Geoenergy Sci. Eng. 247, 213722. https://doi.org/10.1016/j.geoen.2025.213722 (2025).

    Google Scholar 

  29. Abdolahi, F., Heydarinasab, A., Rashidi, A., Ardjmand, M. & Mohseni, M. M. Thermal and rheological performance of behran oil-based nanofluids with functionalized BN, CN, and BCN nanoparticles. Sci. Rep. 15, 31662 (2025).

    Google Scholar 

  30. Gokapai, V., Pothana, P. & Ling, K. Nanoparticles in drilling fluids: a review of types, mechanisms, applications, and future prospects. Eng 5, 2462–2495 (2024).

    Google Scholar 

  31. Ilyas, S. U. et al. Rheological behavior of stabilized diamond-graphene nanoplatelets hybrid nanosuspensions in mineral oil. J. Mol. Liq. 328, 115509. https://doi.org/10.1016/j.molliq.2021.115509 (2021).

    Google Scholar 

  32. Ma, M., Zhai, Y., Li, Z., Yao, P. & Wang, H. Particle size-dependent rheological behavior and mechanism of Al2O3-Cu/W hybrid nanofluids. J. Mol. Liq. 335, 116297. https://doi.org/10.1016/j.molliq.2021.116297 (2021).

    Google Scholar 

  33. R.P. API, 13B-2, Recommended Practice for Field Testing Oil-based Drilling Fluids, Fifth (2019).

  34. Pourrajab, R., Behbahani, M. & Rezaei asl, M. CuO-BN hybrid nanofluid for enhanced viscosity, pour point, and flash point of turbine oil. Tribol. Int. 111755 (2026).

  35. Pourrajab, R., Behbahani, M. & Mansouri, R. Experimental investigation of synergistic thermal conductivity enhancement in water-based hybrid nanofluids with copper and boron nitride nanoparticles. J. Therm. Anal. Calorim. 150, 8015–8027 (2025).

    Google Scholar 

  36. Fakoya, M. F. & Ahmed, R. M. A generalized model for apparent viscosity of oil-based muds. J. Pet. Sci. Eng. 165, 777–785. https://doi.org/10.1016/j.petrol.2018.03.029 (2018).

    Google Scholar 

  37. Razali, S. Z. et al. Effects of morphology and graphitization of carbon nanomaterials on the rheology, emulsion stability, and filtration control ability of drilling fluids. J. Mater. Res. Technol. 21, 2891–2905. https://doi.org/10.1016/j.jmrt.2022.10.097 (2022).

    Google Scholar 

  38. Ali, I. et al. Preparation of graphene based nanofluids: Rheology determination and theoretical analysis of the molecular interactions of graphene nanoparticles. J. Mol. Liq. 390, 122954. https://doi.org/10.1016/j.molliq.2023.122954 (2023).

    Google Scholar 

  39. Hu, X., Yin, D., Chen, X. & Xiang, G. Experimental investigation and mechanism analysis: Effect of nanoparticle size on viscosity of nanofluids. J. Mol. Liq. 314, 113604 (2020).

    Google Scholar 

  40. Finke, B., Sangrós Giménez, C., Kwade, A. & Schilde, C. Viscosity model for nanoparticulate suspensions based on surface interactions. Materials 14, 2752 (2021).

    Google Scholar 

  41. Lin, Y. et al. Effect of nanoparticles on rheological properties of water-based drilling fluid. Nanomaterials 13, 2092 (2023).

    Google Scholar 

  42. Guerra, A. et al. Non-Einsteinian viscosity reduction in boron nitride nanotube nanofluids. J. Mol. Liq. 393, 123531 (2024).

    Google Scholar 

  43. Einstein, A. Investigations on the Theory of the Brownian Movement (Courier Corporation, 1956).

  44. Prasher, R., Song, D., Wang, J. & Phelan, P. Measurements of nanofluid viscosity and its implications for thermal applications. Appl. Phys. Lett. 89 (2006).

  45. Marquardt, D. W. An Algorithm for Least-Squares Estimation of Nonlinear Parameters. J. Soc. Ind. Appl. Math. 11, 431–441. https://doi.org/10.1137/0111030 (1963).

    Google Scholar 

  46. Askeland, D. R. The Science and Engineering of Materials, Sixth Edit (Springer Netherlands, 1991). https://doi.org/10.1007/978-94-009-1842-9

  47. Arain, A. H., Ridha, S., Mohyaldinn, M. E. & Suppiah, R. R. Improving the performance of invert emulsion drilling fluid using boron nitride and graphene nanoplatelets for drilling of unconventional high-temperature shale formations. J. Mol. Liq. 363, 119806 (2022).

    Google Scholar 

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Acknowledgements

The authors thank Shahid Chamran University of Ahvaz for their support.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Iran

    Rashid Pourrajab & Seyed Nasser Moosavi

  2. Department of Chemistry, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

    Mohammad Behbahani

Authors
  1. Rashid Pourrajab
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  2. Mohammad Behbahani
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Contributions

Rashid Pourrajab: Formal analysis, Supervision, Conceptualization, Investigation, and Writing-Original Draft. Mohammad Behbahani: Conceptualization, Supervision, Investigation, Validation, Writing-Review & Editing. Seyed Nasser Mousavi: Formal analysis, Conceptualization, Validation, Writing-Original Draft.

Corresponding authors

Correspondence to Rashid Pourrajab or Mohammad Behbahani.

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The authors declare no competing interests.

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Pourrajab, R., Behbahani, M. & Moosavi, S.N. Optimizing drilling fluid rheology with hybrid nanoparticles boron nitride and graphene nanosheets: an experimental study. Sci Rep (2026). https://doi.org/10.1038/s41598-026-46779-1

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  • Received: 18 December 2025

  • Accepted: 27 March 2026

  • Published: 02 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-46779-1

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Keywords

  • Drilling hybrid nanofluid
  • Rheology
  • Graphene nanosheets
  • Boron nitride
  • Viscosity enhancement
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