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April 19, 2026Physics of Fluids13 citations

A latent-heat-coupled wellbore heat-transfer model with phase-change materials

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QWQingyao WangDXDong XiaoGTGui Tang

Key Points

  • The research aims to develop a wellbore heat-transfer model incorporating phase-change materials to effectively manage extreme downhole temperatures.
  • Developed a latent-heat-coupled heat-transfer model using enthalpy–temperature relationships from PCM simulations.
  • Validated the model against measurements from a self-built drilling-fluid circulation test rig.
  • Conducted a case study on an 8000 m ultra-deep well to assess temperature reduction with added materials.
  • Achieved an average prediction error of below 5% in temperature modeling.
  • Found that adding 15% erythritol to the drilling fluid lowers bottom-hole temperature by 16.6 °C.

Abstract

Deep and ultra-deep resource development is increasingly constrained by extreme downhole temperatures, which compromise drilling safety, tool integrity, and drilling-fluid performance. Conventional cooling measures—including drilling-parameter optimization, adjustment of drilling-fluid properties, surface cooling, and improved drillstring insulation—have achieved partial success; however, under deep/ultra-deep conditions, they often yield limited temperature reductions at high cost and with restricted adaptability. Phase-change materials (PCMs) offer an alternative approach by moderating wellbore-fluid temperature through heat absorption during melting and heat release during solidification. Nevertheless, prior studies have emphasized PCM development, whereas wellbore-scale heat-transfer modeling and the associated latent-heat coupling mechanisms remain insufficiently studied. To address this gap, a latent-heat-coupled wellbore heat-transfer model is developed by incorporating an enthalpy–temperature relation obtained from single-particle PCM simulations as a latent-heat source term. The model is validated against measurements from a self-built drilling-fluid circulation test rig, achieving an average prediction error below 5%. A case study for an 8000 m ultra-deep well indicates that adding 15% erythritol reduces the bottom-hole temperature by 16.6 °C. The proposed model establishes a sound theoretical basis for cooling design and evaluation using PCMs during drilling.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69e471ef010ef96374d8e1f4https://doi.org/10.1063/5.0324428
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