We present the fundamental principles of our technology – GeoArrhenius/SpectrOptim for the justification and reconstruction of compositional kinetic spectra. The advantage of this technology is the reliable separation of gaseous hydrocarbons on the chromatogram and the reconstruction of multicomponent (with an arbitrary number of components) kinetic spectra at the early catagenesis based on neural network modeling. Applying this technology in hydrocarbon system modeling provides the opportunity to accurately assess the volumes of hydrocarbons generated by a source rock and consequently enables the evaluation of hydrocarbon resources in an exploration area. This approach reduces the reliance on external and internal analogies during calculations, as well as the expert opinions of geological researchers.
Merkulov et al. (Wed,) studied this question.