The continuing growth in the importance of oil and gas production and
processing overall the globe increase the need for accurate prediction
of various parameters and their impact on unit operations, process
simulation and design. Because of the particular nature of various
parameters, sometimes existing methods encounter difficulties. Currently
several models are available to predict various design parameters in the
oil and gas processing industries. However, their calculations may
require rigorous computer solutions. Therefore, developing the new
predictive tools, which are easier than the existing methods, less
complicated with fewer computations to minimize the complex and time-
consuming calculation steps is an essential need. It is apparent that
mathematically compact, simple, and reasonably accurate predictive
tools, as proposed in this thesis, would be preferable for
computationally intensive simulations. This problem has been
circumvented conveniently by resorting to simpler approaches, as
described in this book.