In reservoirs with significant pay thickness, gravity segregation of components will cause a change in fluid properties with depth. This will in turn lead to the reservoir pressure and the bubble point of the fluid being different from the top to the bottom of the structure. As samples depend on the depth from which the fluid is obtained, models need to take into account how the fluids change with depth, not relying on a fixed description obtained at the sampling depth. The compositional gradient function in PVTP, allows the user to characterise the equation of state based on the sample characteristics, and then using this description, to generate a variable composition and hence properties with depth. This can then be fed directly into the reservoir model, giving a more accurate fluid characterisation over the whole reservoir.
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