A constitutive mechanical model for gas hydrate bearing sediments incorporating inelastic mechanisms
KAUST DepartmentEarth Science and Engineering Program
Energy Resources and Petroleum Engineering
Physical Sciences and Engineering (PSE) Division
Upstream Petroleum Engineering Research Center (UPERC)
Permanent link to this recordhttp://hdl.handle.net/10754/622162
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AbstractGas hydrate bearing sediments (HBS) are natural soils formed in permafrost and sub-marine settings where the temperature and pressure conditions are such that gas hydrates are stable. If these conditions shift from the hydrate stability zone, hydrates dissociate and move from the solid to the gas phase. Hydrate dissociation is accompanied by significant changes in sediment structure and strongly affects its mechanical behavior (e.g., sediment stiffenss, strength and dilatancy). The mechanical behavior of HBS is very complex and its modeling poses great challenges. This paper presents a new geomechanical model for hydrate bearing sediments. The model incorporates the concept of partition stress, plus a number of inelastic mechanisms proposed to capture the complex behavior of this type of soil. This constitutive model is especially well suited to simulate the behavior of HBS upon dissociation. The model was applied and validated against experimental data from triaxial and oedometric tests conducted on manufactured and natural specimens involving different hydrate saturation, hydrate morphology, and confinement conditions. Particular attention was paid to model the HBS behavior during hydrate dissociation under loading. The model performance was highly satisfactory in all the cases studied. It managed to properly capture the main features of HBS mechanical behavior and it also assisted to interpret the behavior of this type of sediment under different loading and hydrate conditions.
CitationSánchez M, Gai X, Santamarina JC (2017) A constitutive mechanical model for gas hydrate bearing sediments incorporating inelastic mechanisms. Computers and Geotechnics 84: 28–46. Available: http://dx.doi.org/10.1016/j.compgeo.2016.11.012.
SponsorsThe authors would like to acknowledge the financial support from NETL (National Energy Technology Laboratory), DOE, USA, through Award No.: DE-FE0013889. The authors would like to gratefully acknowledge Dr. Ajay Shastri for his involvement in the initial developments associated with this model and also Miss Maria De La Fuente for the fruitful discussions.
JournalComputers and Geotechnics