A Regression Technique With Dynamic Parameter Selection for Phase-Behavior Matching

Selection of regression parameters for cubic equations of state in a manner that eliminates trial and error runs. The process involves switching between a Gauss-Newton and a secant method to approximate the Hessian matrix. Experimental data for a light oil and a gas condensate system are matched to demonstrate application of the technique