Abstract
A global kinetic model of vitrinite reflectance evolution is developed to illustrate a new approach to vitrinite reflectance modelling. The method utilizes quantitative pyrolysisgas Chromatographic data from isolated vitrinite kerogens to derive the concentrations of structurally specific moieties (alkylphenol precursors) in vitrinite kerogens as a function of rank. This data set is used to calibrate a gaussian distributed activation energy model for phenol-precursor loss from vitrinites using published burial histories. Phenol yield is then correlated with vitrinite reflectance. The predictive vitrinite reflectance model based on this phenol system is tested against a well from the US Gulf Coast area, the results being compared with a Lopatin model of the same well. This type of vitrinite reflectance model is numerically compatible with current generation kinetic models of hydrocarbon production from source rock kerogens, and has a better heating rate independence than Lopatin's method.
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