Determination of hydrate inhibitor injection rate for flowlines based on Monte Carlo method
| Autor: | Daejun Chang, Yeelyong Noh, Kwangpil Chang, Juneyoung Kim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Risk acceptance criteria Engineering Downtime business.industry General Chemical Engineering Nuclear engineering Monte Carlo method 0211 other engineering and technologies Process (computing) Energy Engineering and Power Technology Injection rate 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Reliability engineering 020401 chemical engineering System failure Control and Systems Engineering 0204 chemical engineering Safety Risk Reliability and Quality Hydrate business Food Science Subsea |
| Zdroj: | Journal of Loss Prevention in the Process Industries. 44:62-72 |
| ISSN: | 0950-4230 |
| DOI: | 10.1016/j.jlp.2016.08.012 |
| Popis: | The present study proposes a new methodology that estimates the acceptable injection rate of a hydrate inhibitor considering the random failure and subsequent maintenance of the topside system followed by the cooldown of the flowlines and risers where hydrate can potentially form. The proposed methodology consists of four steps: system description, topside system simulation, subsea system simulation, and construction of the exceedance curve for the inhibitor injection. As the system is defined in the first step, Monte Carlo simulation (MCS) is performed in the topside system simulation step to predict the system failure frequency and subsequent downtime that leads to the exceedance curve of the downtime. With the exceedance curve of the downtime, the longest downtime, equivalently the longest cooldown time, τ LC , is estimated. In the subsea system simulation step, the cooldown path of the inventory is obtained by multiphase simulation and τ TD , the time that the inventory touch down the hydrate formation region is defined. The last step combines the MCS with multiphase simulation to yield the frequency of the required MEG injection to avoid the hydrate formation. The exceedance curve provides risk-based information for determining the required MEG injection rate based on risk acceptance criteria, which may vary with different points of view. Four case studies are performed for several installations that have different extent of process configurations and insulation. |
| Databáze: | OpenAIRE |
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