Development of robust and efficient methods for the computation of multiphase systems has long been a challenge in both chemical and petroleum engineering as well as in materials science. Several techniques have been developed, particularly those which apply the Gibbs free energy minimization. In addition to calculation of global equilibrium problems, practical process simulation would benefit ...

Reliable geothermal data are required for basin and petroleum system modeling. The essential shortcomings of the methods results previous investigations lead to a necessity reappraise on thermal properties heat flow. A new, advanced experimental basis was used provide reliable vertical variations in formation flow area surrounding prospecting borehole drilled through an unconventional hydrocarb...

We propose a method from the viewpoint of deterministic dynamical systems to investigate whether observed data follow a random walk (RW) and apply the method to several financial data. Our method is based on the previously proposed small-shuffle surrogate method. Hence, our method does not depend on the specific data distribution, although previously proposed methods depend on properties of the...

An Agilent Simulated Distillation (SIMDIS) system is described for quality control and monitoring of refinery processes. The system uses an Agilent 6890N gas chromatograph (GC) equipped with a programmable temperature vaporizer (PTV) inlet designed specifically for high temperature analysis. A simulated distillation software program that couples with the Agilent GC ChemStation provides an easy-...

This article presents some evidence for the presence of a causal relationship between price and volume in the crude oil futures market. The results of linear causality testing reveal the presence of causality running from volume to price but not vice versa. While the results of testing for nonlinear causality are inconsistent, most of the evidence shows that causality runs in both directions. I...

in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...