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January 24, 2026SPE Journal0 citations

Improved Corrosion Rate Model for Service Life Prediction of Production Tubing in High-Temperature, High-Pressure CO2 Wells

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HZHongchuan ZhaoYWYanbin WangDGDELI GAO

Key Points

  • The central aim is to develop a more accurate model for predicting corrosion rates in production tubing under high-temperature, high-pressure conditions.
  • Conducted laboratory experiments simulating coupled temperature and pressure conditions.
  • Developed a polynomial model for predicting corrosion rates.
  • Established a framework for service life prediction incorporating triaxial stress and temperature-dependent degradation.
  • Validated the model using field measurements.
  • Performed sensitivity analysis to explore relationships between parameters and corrosion behavior.
  • The improved model showed higher accuracy in predicting corrosion rates compared to conventional methods.
  • Strong agreement was found between model predictions and field observations.
  • Identified vulnerable tubing sections especially at depths between 200 and 900 meters.
  • Revealed complex nonlinear relationships influencing corrosion behavior.

Abstract

Summary Carbon dioxide (CO2) corrosion remains a critical threat to production tubing integrity in high-temperature, high-pressure (HTHP) gas wells, where accurate service life prediction continues to challenge the industry. This study establishes an improved corrosion rate model through laboratory experiments under coupled temperature-pressure conditions. The model employs a polynomial representation that achieves higher predictive accuracy than conventional methods under varied operational conditions. Furthermore, a service life prediction framework has been developed that incorporates triaxial stress distribution and temperature-dependent material degradation, providing a more realistic assessment of production tubing performance under actual service conditions. Validation with field measurements confirms a strong agreement between predictions and observed data. Sensitivity analysis reveals complex nonlinear relationships between key parameters and corrosion behavior, with the most vulnerable sections identified at a 200–900-m depth. This work provides both methodological advances and practical guidance for tubing design and integrity management in HTHP environments.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/697461a8bb9d90c67120b852https://doi.org/10.2118/231855-pa
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