Regarding the mention of the DePriester nomographs, a bit of history is in order: The MW Kellogg company originated the Benedict-Webb-Rubin (BWR) equation of state - Manson Benedict was the first author of the two original publications in J. Chem. Phys., Vol. 8, p334 (1940) and Vol. 10, p747 (1942). This is an eight constant EOS, far more complex and accurate than the modern cubic equations such as Soave or Peng-Robinson. It is even today considered highly successful in capturing the composition dependence of K-values over a wide range of T, P when binary interaction parameters are used, a modification suggested many years later by Prausnitz at UC Berkeley.
However, in the 1940s, it was impossible to do fugacity coefficient calculations by hand using such a complex EOS, as there were few computers around. Therefore, Kellogg came up with a large collection of charts called “the Kellogg charts”, which graphed the numerical solutions of the BWR EOS for a wide range of cases. This was an attempt to introduce the composition dependence of the K-values in an approximate and graphical way, since the actual solution of the BWR equation was not required at all. However, much trial and error was still required to use these charts, and the results were NOT as accurate as what would be obtained through rigorous solution of BWR.
Later, the so-called “MIT K charts” were developed at MIT, that were based on the Kellogg K charts, but were far less voluminous and therefore simpler to use. However, these too required trial and error, but were a lot less laborious to use than the Kellogg charts, and also not as accurate. They were certainly much less accurate than the original BWR equation of state.
Next, DePriester developed two nomograms, based on the MIT K charts, that eliminated composition dependence altogether in favor of real simplicity. There is one nomogram for “high temperature” (-5 to 200 C) and another for “low temperature” (-70 to 20 C), and there is an area of overlap where the K-values values do not quite agree. These K-values may be used by the brave of heart for pure hydrocarbon systems at moderate T&P only. One must also decide which one to use when there is an overlap. No guidance is available of what to do when, for example, N2, CO2, H2S, and other important non-hydrocarbon components are also present. DePriester’s nomograms have survived to this day in many textbooks and Perry, I think for historical reasons, but certainly not because they are known to be in any way competitive with a modern EOS for accuracy. Often DePriester’s nomograms charts are replicated with absolutely no commentary as to their historical origin and especially their many limitations with respect to accuracy. The fact remains that it is dangerous, if not foolhardy, in most situations simply to assume that K-values are independent of composition. This is why phase equilibrium remains a pervasively important area for chemical engineering research.
Therefore, I would again urge anyone reading this thread to be aware that computational simplicity for K-values generally comes at an intolerable sacrifice in accuracy. There simply is no way to get quick and dirty K-value answers to a given problem, such as a high-pressure natural gas dew point calculation, that is also likely to be accurate except by pure chance. That is why everyone uses a standard process simulator for such work.
Note for the most intrepid ChEs out there: if a dew point calculation is bad enough to do by hand, imagine how laborious a fully rigorous multicomponent distillation column calculation would be, using any of the most common convergence methods, since many thousands of composition-dependent K-value sets would be required before column convergence is achieved. (Dick Russell will excuse my not elaborating on his “inside-out” method which greatly reduces the number of K-value computations required in distillation).