Tight oil flow simulation and permeability prediction method based on pore network model

Abstract

The invention relates to a tight oil flow simulation and permeability prediction method based on a pore network model. The method includes the following steps: (1) scanning a tight core to obtain a two-dimensional electron microscope image and obtain spatial geometric information of porous medium pores; (2) reconstructing a digital core to obtain a geometric data file of the digital core; (3) extracting the pore network model of the digital core to obtain a data file of the pore network model of the tight core; (4) obtaining the pressure at each pore and the volume flow rate at each pore throat position to further obtain the flowing condition of a fluid in the nano-scale pore network model; (5) obtaining the volume flow rate Q of the fluid at the outlet end of the pore network model and calculating the apparent permeability of the pore network model according to the Darcy law. The newly developed pore network model overcomes the shortcoming that the traditional pore network model cannot consider the boundary slip and the change of the effective viscosity of the fluid when the fluid flows in the nanopores.

Description

technical field [0001] The invention relates to a tight oil flow simulation and permeability prediction method based on a pore network model, and belongs to the technical field of numerical simulation of oil and gas field development engineering. Background technique [0002] With the rapid development of various microscopic techniques (scanning electron microscopy, CT, etc.) possible. The pore network model is an effective method for studying fluid flow in porous media at the microscopic level, and it provides an important research platform for simulating fluid flow inside the core. Compared with physical core experiments, it has the advantages of low experimental cost, simple operation and short experimental period. Compared with the digital core, the pore network model has the characteristics of high calculation efficiency. During the calculation, the pores are only used as the storage space of the fluid instead of the flow space. The flow in the pore throat is directly...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a tight oil flow simulation and permeability prediction method based on a pore network model, which overcomes the inability of the traditional pore network model to consider the characteristics of boundary slip and fluid effective viscosity changes when fluid flows in nanopores;

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