Journal
PETROLEUM SCIENCE AND TECHNOLOGY
Volume 35, Issue 5, Pages 443-450Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2016.1263210
Keywords
Deepwater pipeline; empirical equations; hydrate formation prediction; intelligent optimization algorithms; statistical analysis
Funding
- Universiti Teknologi PETRONAS, Malaysia
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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.
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