Two-dimensional image and multi-point statistics-based digital core reconstructing method

Abstract

The invention relates to a two-dimensional image and multi-point statistics-based digital core reconstructing method. The method disclosed by the invention comprises the steps of obtaining a two-dimensional training image of a rock sample by using a physical experiment method; and by combining with a multi-point statistical method, obtaining high-order statistical information on the two-dimensional core image on the basis of the obtained two-dimensional core image, thereby constructing a three-dimensional digital core which can reflect true inner-pore structural features of the core. By meansof the method, the shortcomings caused by only applying a two-point statistical function in a traditional numerical reconstruction algorithm are overcome.

Description

Technical field [0001] The invention relates to a digital core reconstruction method based on two-dimensional images and multi-point statistics, and belongs to the field of numerical simulation technology and digital core in oil and gas field development engineering. Background technique [0002] Porous media widely exist in many fields of nature and human experimental activities. The reservoir in oil and gas field development belongs to a typical porous medium. Rock porous media is the basic medium for fluid storage and flow. Its flow mechanism and transport properties are derived from its internal microscopic pore structure, such as pore throat size, shape, internal roughness, interconnection, pore throat characteristics and their composition Way etc. Accurate and quantitative characterization of the microscopic pore structure of rock porous media has important theoretical significance for studying the micro- and meso seepage mechanism and transport properties in rock porous ...

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Problems solved by technology

For example, the Gaussian simulation method only has porosity and two-point correlation function as constraints in the reconstruction, which may not reflect the structural characteristics of the pore space; the simulated annealing method is based on the two-point function during reconstruction, resulting in poor pore connectivity, abnormal pore geometry, The modeling time is long; the process simulation method cannot simulate the diagenetic process of complex pores; the Markovian Monte Carlo method cannot reflect the long-term connectivity of pores; the multi-point statistical method is difficult to reconstruct anisotropic rock structure online Variation in different directions

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