Effect of Liquid Hydrocarbon on the Deposition of Gas Hydrate Particles in Gas-Dominated System
Notice bibliographique
Résumé
Abstract Deposition of hydrate solids is one of important parts to understand the hydrate plugging mechanism in the flowlines. In this study, hydrate segregation and deposition of three different gas-dominated systems, which are water only, decane as a condensate with water, and poly-vinyl caprolactam as a kinetic inhibition polymer included systems, was investigated with measuring the torque of stirring liquid and hydrate phases. The torque – hydrate conversion curves provided some information to classify the hydrate formation process into several specific regions and to characterize each region. The present work suggests that measuring torque is one of useful laboratory scale measurements to investigate the hydrate deposition mechanism and the block properties. Introduction Gas Hydrates are ice-like nonstoichiometric crystalline solids which contain plenty of gas guest molecules in their hydrogen-bonded host water cavities [1]. In nature, huge amounts of gas hydrates containing natural gases are deposited in deep sea sediments or permafrost [2], thus methane recovery from the hydrate deposits has been one of major issues for future energy resources [3–5]. On the other hands, the formation of gas hydrates in the pipelines has been a serious concern in the oil and gas industry because it can cause blockages of flowlines leading to severe operational and safety problems [2,6]. For flow assurance of offshore flowlines transporting hydrocarbons or gases, injecting thermodynamic hydrate inhibitors (THIs) such as methanol or ethylene glycol has been most commonly used in order to prevent gas hydrate formation, as the hydrate equilibrium curve is shifted toward higher pressure and lower temperature than operation conditions [2]. However, the industry continues to explore deeper and colder region of undersea for fresh oil and gas sources and these conventional methods are facing difficulties such as larger injection and higher cost of THIs. Recent trends for flow assurance, thus, have moved from preventing hydrate formation using THIs toward risk management, that is, to allow hydrate formation in pipelines but delaying their nucleation or agglomeration to form a blockage, using kinetic hydrate inhibitors (KHIs) or anti-agglomerants (AAs) [2]. In order to prevent the plugging of hydrates in pipelines, deposition mechanism of hydrate should be understood. From laboratory scale measurements to field modeling, numerous studies for aggregation and agglomeration have been reported and their scenarios for different systems were suggested and developed [7]. To measure the cohesion adhesion force of hydrate particles and to observe hydrate particle aggregation using probe are typical attempts of laboratory experiments for understanding the agglomeration mechanism [8–11]. Torque measurement of fluid stirred in the reactor could be also one of useful methods to understand physical properties of agglomerated hydrate block in the laboratory scale measurements. However, just a few studies measured the torque to confirm whether or not hydrate blockage was formed in their system [12,13]. Here, this study focuses on the hydrate deposition of gas-dominated system containing decane as a condensate or poly-vinyl caprolactam (PVCap) as a kinetic inhibition polymer. The torque of stirring fluid was recorded during the hydrate formation and the deposition of hydrate solid was visually observed. This approach can provide a better understanding on the roles of a condensate and a kinetic inhibition polymer for plugging phenomena. Experiments A synthetic natural gas which was composed of 90 mol% CH4, 6 mol% C2H6, 3 mol% C3H8, and 1 mol% n-C4H10 was supplied by Special Gas (Korea). Decane was purchased from SIGMAALDRICH. Deionized water and PVCap (MW≈5000, purity 98.0 wt%) was used without further purification.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».