Pressure vessels made entirely from fiber-reinforced polymer can generate substantial cost and performance improvements leading to their greater acceptance as a storage medium for pressurized alternative fuels (e.g. hydrogen). Inherent anisotropy and inhomogeneity of fiberreinforced composites usually induces functional failure (i.e. leakage) that precedes structural failure by bursting. Functional failure is attributed mainly to transverse matrix micro-cracking.
The nanofluidics and microfluidics simulations and experiments are becoming more and more popular nowadays. Such devices work on microscale to imitate macroscale operations but on a cheaper and faster basis. The good examples are lab-on-chips which perform DNA tests much faster and much cheaper than their large anologues. Thus, the reliable and robust simulations of micro devices are in high demand. One of such examples is multiphase simulations of fluid flow inside the capillaries.
Fiber-reinforced polymer composites (FRPC) have long been recognized for their high strength-to-mass and stiffness-to-mass ratios and excellent corrosion resistance. Certain emerging technologies in the oil and gas industry do not permit the use of metallic structures, and FRPC are therefore considered as an alternative. Conventional polymer materials are usually not capable of sustaining the environmental conditions that exist for the considered applications, which includes temperatures in excess of the boiling point of water, and exposure to hydrocarbons and water.
Hydraulic fracturing technology is one of the most used and efficient methods of oil reservoir stimulation. A way to improve this technology is the consequent pumping of several different fluids containing different concentrations of different proppants (solid spherical particles). This project with Schlumberger, one of the largest international companies in oilfield services, aims at developing a mathematical model describing this technology. The numerical model will predict the fluids’ and proppants’ location is reduced to formulating and solving numerically a different equation.
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