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Title: Improved fluid property predictors for reservoir compositional simulation

Thesis/Dissertation ·
OSTI ID:7229573

Binary interaction parameter k/sub ij/ was correlated as functions of molecular weight and boiling point for hydrocarbon, nonhydrocarbon, and mixed binaries. The k/sub ij/-functions yield the value of zero for k/sub ij/ when i = j are extended to binaries involving heptanes-plus pseudo-component. These functions provide new techniques for establishing the k/sub ij/-coefficient in the equation-of-state mixing rules without resorting to arbitrary values, as is commonly done. Critical pressures, critical temperatures, and acentric factor correlations of heavy fractions developed from petroleum fractions and pure components are based on a new characterization scheme which uses molecular weight, boiling point, specific gravity, and refractive index. The use of this non-iterative scheme for correlating paraffinic, naphthenic, and aromatic categories of hydrocarbons has never before been achieved. A van der Walls model based solely upon pure component critical data is developed for viscosity. Mixing rules are proposed and the extension of these rules to reservoir oils viscosity prediction was generally within +/-6% of the experimental values. A generalized cubic equation of state (EOS) is developed as functions of coefficients ..cap alpha.. and ..beta.. in the attractive pressure term and the limiting critical volume b/V/sub c/. From this generalized model, all the patterns of the previously published cubic equations of state are unfolded. The versatility of this model was demonstrated by constructing two-and four-parameters EOS'.

Research Organization:
Texas Univ., Austin (USA)
OSTI ID:
7229573
Resource Relation:
Other Information: Thesis (Ph. D.)
Country of Publication:
United States
Language:
English