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HYDRATE PLUG FORMATION PREDICTION TOOL – AN INCREASING NEED FOR FLOW ASSURANCE IN THE OIL INDUSTRYKinnari, Keijo, Labes-Carrier, Catherine, Lunde, Knud, Hemmingsen, Pål V., Davies, Simon R., Boxall, John A., Koh, Carolyn A., Sloan, E. Dendy 07 1900 (has links)
Hydrate plugging of hydrocarbon production conduits can cause large operational
problems resulting in considerable economical losses. Modeling capabilities to predict
hydrate plugging occurrences would help to improve facility design and operation in
order to reduce the extent of such events. It would also contribute to a more effective
and safer remediation process. This paper systematically describes different operational
scenarios where hydrate plugging might occur and how a hydrate plug formation
prediction tool would be beneficial.
The current understanding of the mechanisms for hydrate formation, agglomeration and
plugging of a pipeline are also presented. The results from this survey combined with the
identified industrial needs are then used as a basis for the assessment of the capabilities
of an existing hydrate plug formation model, called CSMHyK (The Colorado School of
Mines Hydrate Kinetic Model). This has recently been implemented in the transient
multiphase flow simulator OLGA as a separate module.
Finally, examples using the current model in several operational scenarios are shown to
illustrate some of its important capabilities. The results from these examples and the
operational scenarios analysis are then used to discuss the future development needs of
the CSMHyK model.
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FORMATION OF HYDRATE PLUG WITHIN RECTANGULAR NATURAL GAS PASSAGESeong, Kwanjae, Song, Myung Ho, Ahn, Jung Hyuk, Yoo, Kwang Sung 07 1900 (has links)
In order to obtain a better understanding of hydrate plug formation mechanism in natural gas pipelines, formation and growth of hydrate layer within a rectangular channel formed by brass bottom and top surfaces and an insulated inner and an outer surface of transparent polycarbonate tube was studied experimentally. A gas mixture of 90 % methane balanced with propane was supplied at specified flow rates while the humidity and temperature of the supply gas was controlled at desired values using bubble type saturators and heat exchangers placed in series. Hydrate formation occurred along the top and bottom brass surfaces maintained at temperatures below equilibrium hydrate formation temperature, while the transparent tube served as window for visual observation. A series of carefully controlled laboratory experiments were performed to reveal the shape of porous hydrate layer under different combinations of under-cooling and moisture concentrations. The observed transient characteristics of hydrate layer profiles will provide important data that can be used for validation of numerical models to predict hydrate plugging of natural gas pipelines.
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HYDRATE PLUGGING POTENTIAL IN UNDERINHIBITED SYSTEMSHemmingsen, Pål V., Li, Xiaoyun, Kinnari, Keijo 07 1900 (has links)
An underinhibited system is defined as a system where an insufficient amount of thermodynamic inhibitor
is present to prevent hydrate formation. Underinhibition might occur due to malfunctioning of equipment,
temporary limitations in the inhibitor supplies or operational limitations or errors. Understanding the
plugging risk of such systems is important in order to take the correct precautions to avoid blocked
flowlines. In this paper we summarize the experimental efforts for the last decade within StatoilHydro on
the hydrate plugging risk in underinhibited systems. The flow simulator has been used as the main
experimental equipment. The overall results for systems underinhibited with ethylene glycol or methanol
show that the plugging potential increases up to a maximum at concentrations around 10-15 wt%. At higher
concentrations the plugging potential reduces compared to the uninhibited system. The results can be
explained as follows: As water is converted to hydrates in a system containing a thermodynamic inhibitor,
the inhibitor concentration will increase until the remaining aqueous phase is inhibited. This self-inhibited
aqueous phase will wet the hydrate particles, giving raise to the characteristic term of “sticky” hydrate
particles. The aqueous layer surrounding the hydrate particles will form liquid bridges, by capillary
attractive forces, upon contact with other hydrate particles or the pipe wall. During the hydrate formation
period, there is also a possibility that some of the liquid bridges are converted to solid ones, strengthening
the agglomerates. Depending on the oil-water interfacial tension, the phase ratio between the aqueous phase
and the solid hydrates and the conversion of liquid bridges to solid ones, this leads to increased plugging
risk at lower concentrations of inhibitor (< 20 wt%) and reduced risk at higher concentrations as compared
to the uninhibited system.
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CRITICAL DESCRIPTORS FOR HYDRATE PROPERTIES OF OILS: COMPOSITIONAL FEATURESBorgund, Anna E., Høiland, Sylvi, Barth, Tanja, Fotland, Per, Kini, Ramesh A., Larsen, Roar 07 1900 (has links)
In petroleum production systems, hydrate morphology is observed to be influenced by the crude
oil composition. This work is aimed at identifying which crude oil compositional parameters that
need to be determined in order to evaluate natural anti-agglomerating properties of crude oils, i.e. the
critical compositional descriptors. The compositional features of 22 crude oils have been studied,
and multivariate data analysis has been used to investigate the possibility for correlations between
several crude oil properties. The results show that biodegradation together with a relatively large
amount of acids are characteristic for non-plugging crude oils, while excess of basic compounds is
characteristic for plugging crude oils. The multivariate data analysis shows a division of the nonbiodegraded
oils, which are all plugging, and the biodegraded oils. In addition, the biodegraded
oils seem to be divided into two groups, one with plugging oils and one with mostly non-plugging
oils. The results show that the wettability can be predicted from the variables biodegradation level,
density, asphaltene content and TAN.
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