Development of a hydrate formation prediction model for sub-sea pipeline

ABSTRACT

In this research work, a novel model is developed to the hydrate formation pressure and hydrate formation temperature for a single component of methane (CH₄) gas. This research model holds at a temperature and pressure of real-time data for pure water, methane, and other mixtures of gases, respectively. Furthermore, the modelling and statistical analysis conducted in this research were divided into three major segments; the assessment of the computability of the mathematical models, the performance of the proposed optimization techniques, and the comparison of the proposed techniques with real-time data of gas pipeline. Results showed that the improved optimization algorithms are in admirable compliance with the real-time data. These correlations are providing the capability to predict gas-hydrate-forming conditions for a wide range of hydrate formation data.

KEYWORDS:

• Deepwater pipeline
• empirical equations
• hydrate formation prediction, intelligent optimization algorithms
• statistical analysis

Funding

The authors are thankful to Universiti Teknologi PETRONAS, Malaysia for their support in this research.