Related Experiment Video
Updated: May 11, 2026
09:46
Protocol for Measuring the Thermal Properties of a Supercooled Synthetic Sand-water-gas-methane Hydrate Sample
Published on: March 21, 2016
8.9K
Modeling oceanic sedimentary methane hydrate growth through molecular dynamics simulation.
Ángel M Fernández-Fernández1, Álvaro Bárcena1, María M Conde2
1Dpto. de Física Aplicada, Univ. de Vigo, Vigo 36310, Spain.
The Journal of Chemical Physics
|April 9, 2024
Summary
Methane hydrate crystallization in silica pores was simulated. Confinement and salinity significantly alter hydrate stability and structure compared to unconfined conditions.
Area of Science:
- Geochemistry
- Materials Science
- Physical Chemistry
Background:
- Methane hydrates are crucial in geological carbon cycles and energy resources.
- Understanding hydrate formation in porous media is vital for predicting seabed stability and gas recovery.
- Confinement effects in geological settings like silica pores are not fully understood.
Purpose of the Study:
- To investigate methane hydrate crystallization within a confined silica pore.
- To analyze the impact of salinity on confined methane hydrate stability and structure.
- To compare confined hydrate behavior with unconfined conditions.
Main Methods:
- Molecular dynamics simulations were employed.
- An atomistic quartz silica slit pore model was designed.
- Methane hydrate seeds were simulated with water, methane, and NaCl at various concentrations.
Main Results:
- Methane hydrate crystallized within the silica pore, exhibiting ionic doping.
- Increasing salinity and confinement induced structural distortions in the hydrate.
- Confinement and pore hydrophilicity caused greater deviations in hydrate phase equilibria than salinity alone.
Conclusions:
- Confinement geometry and pore hydrophilicity are key factors influencing methane hydrate phase equilibria.
- Salinity impacts confined methane hydrate stability, but confinement effects are more pronounced.
- This study provides insights into hydrate behavior under simulated seabed conditions.
Related Concept Videos
01:27Steady Flow of a Fluid Stream
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
01:14Conservation of Mass in Moving, Nondeforming Control Volume
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
01:30Typical Model Studies
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
01:29Gradually Varying Flow
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
01:24Rapidly Varying Flow
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...