Dissociation Behaviors of CO 2 Hydrate-Bearing Sediment Particle during Settling in Water
Peng Li,
Xuhui Zhang and
Xiaobing Lu
Additional contact information
Peng Li: Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
Xuhui Zhang: Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
Xiaobing Lu: Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
Energies, 2018, vol. 11, issue 11, 1-12
Abstract:
Dissociation processes of gas hydrate-bearing sediment particles in water flow condition were investigated. Experiments were carried out by observing a spherical CO 2 hydrate-bearing sediment (CHBS) particle settling in water. The release process of gas bubbles from CHBS particles was recorded by a high-speed camera and the total time of dissociation was obtained for different particle diameters and water temperatures. An intrinsic dissociation model was presented based on the assumption that the dissociation rate of the CHBS particle is exponential with the concentration of remaining hydrate. The model considered the influences of changing temperature, pressure and the particle concentration on the dissociation rate. The constants in the model were obtained based on fitting the experimental data. The presented model can reveal the dissociation behavior of the CHBS particle.
Keywords: CO 2 hydrate; dissociation rate constant; dissociation model; solid fluidization exploitation; gas bubbles (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/11/2896/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/11/2896/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:2896-:d:178073
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().