Abstract: Provided herein are methods for dynamic bias management between online process analyzers and laboratory certification tests. In many refinery processes, online analyzers are used to determine any number of properties to ensure the product being produced meets a given target or specification. Refinery laboratory tests are typically used for certification, and therefore, biases between said certification tests and online process analyzers need to be managed to control/optimize the manufacturing process. The methods employ an exponential-weighted moving average (EWMA) dynamic correction factor based on historical process analyzer data versus laboratory certification samples in conjunction with structural bias correct functions to achieve this bias management.

Abstract: An apparatus and method for the direct measurement of corrosive sulfur and other corrosive compounds is provided. The method and apparatus of the current invention provides a rapid, reliable and cost effective method to directly measure the content of corrosive compounds in various fluids, and in particular liquid petroleum and liquid petroleum products such as gasoline. The apparatus can be retrofit to existing analyzers where they exist, or easily installed in locations that require such analysis.

Abstract: A Method for predicting the properties of a complex hydrocarbon mixture which comprises selecting one or more known chemical, perceptual, physical or performance properties of the complex mixture and creating a training set from reference samples which contain characteristic molecular species present in the mixture. The reference samples are subjected to GC/MS analysis wherein the often collinear data generated are treated by multivariate correlation methods. The training set produces coefficients which are multiplied by the matrix generated from a GC/MS analysis of an unknown mixture to produce a predicted value for the chemical, performance or physical property or groups of properties selected.

Abstract: A method for controlling the blending of blend stocks having boiling points less that 350.degree. C. into blend products or controlling refinery or chemical processes with feedstocks and products with boiling points less than 350.degree. C. The method comprises selecting one or more chemical or perceptual or physical property or performance properties of the blend stock or blend product or refinery or chemical feed or product, creating a training set from reference samples which contain characteristic molecular species present in the blend stock or blend product or refinery or chemical process feed or product. The reference samples are subject to GC/MS analysis wherein the often collinear data generated is treated by multivariate correlation methods.