Abstract
Abstract The present study is focused on quantitative determination of various groups of organic matter (OM) within an unconventional hydrocarbon (HC) reservoir. The influence of the initial distribution of organic matter groups on reservoir simulation results was estimated in frames of the present research. The results of thermal enhanced oil recovery (EOR) simulation were studied, in particular. The target object of the current research is a field sector around a well, which is related to a deposit of the Western Siberia part of Bazhenov formation. The organic matter of Bazhenov formation was proposed to be divided in a few groups according to the following criteria. The relation with mineral rock matrix: hydrocarbons in open connected pores (mobile oil); hydrocarbons associated with the rock, or "bonded" HC (BHC); kerogen (solid organic matter) and heavy products of its transformation. The "bonded" hydrocarbons are adsorbed and concentrated in isolated or weakly connected pores and cavities within the organic-mineral matrix. These 3 groups were divided according to a molecular weight of hydrocarbons within the group. The mass and volume content of each group in core samples of Bazhenov formation were studied experimentally. The evaluated group-model of organic matter within a target object was imported in a thermohydrodynamic simulation (thermo-HDS) as a matrix of initial components distribution. The efficiency of thermal EOR (hot water huff and puff injection) for the target object within Bazhenov formation was estimated with a numerical simulation using various OM saturation matrices. The main research goal was to determine the influence of specification of input parameters on the cumulative oil production. The result of the study is the conclusion about the influence of the specification of distribution of OM groups on the results of HDS calculations and efficiency of thermal EOR. A new method of a detailed OM distribution for hydrodynamic simulation was proposed. A detailed group-model of OM might improve predictions of thermal EOR numerical simulation for unconventional reservoirs.
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