Molecular reconstruction is a rapid and reliable way to provide molecular detail of petroleum fractions

which is required in the kinetic modeling of petroleum conversation processes at the molecular level. In the typical stochastic reconstruction method

the estimation of properties of pseudo molecules that are generated by Monte Carlo sampling depends on the building of predefined molecular libraries

which is expensive and inaccessible for certain petroleum fractions. In this paper

a novel stochastic reconstruction strategy is proposed

which is based on a stratified library of structural descriptors. Properties of pseudo molecules generated in the novel strategy can be directly estimated by group contribution method in the condition of lacking predefined molecular libraries. In this strategy

the molecular building diagram comprises two steps. First

the ring structure is configured by determining the number of rings. Different from the length of chain adopted in the traditional stochastic reconstruction method

in the second step

number of structural descriptors (SDs) for binding site and chain were determined sequentially for the configuration of binding site and saturated acyclic hydrocarbon chain. These structural descriptors for binding site and chain were selected from group contribution methods. To count the number of partial overlapping sections between structural descriptors for chain

two supplementary structural descriptors were created. All possible saturated structures of hydrocarbon chains can be represented by structural descriptors at the scale of property estimation. This strategy separates the building of a predefined molecule library from the stochastic reconstruction process. The exact structures of pseudo molecules represented by structural descriptors in this work can be determined with sufficient chemical knowledge. Fifty naphtha samples are tested independently to demonstrate the performance of the proposed strategy and the results show that the estimated properties were close enough to the experimental values. This strategy will benefit the molecular management of petrochemical industries and therefore improve economic and environmental efficiencies.