Complex reservoir rock pore structure parameter extraction method

Abstract

The invention discloses a complex reservoir rock pore structure parameter extraction method. The method includes the following steps that: 1) the three-dimensional image of the core of the pore structure of a complex reservoir rock is obtained, a three-dimensional digital core is established; 2) a pore network model with maximal ball clusters adopted as units is formed through using a maximal ball algorithm based on the three-dimensional digital core; 3) sectioning processing is performed on the pore network model obtained in the step 2), and sectioned sections are recorded; 4) as for the sectioned sections obtained in the step 3), rays are emitted from the center of the core at every one preset angle, the rays extend until reaching skeleton voxelsm, and the length of each ray is calculated, a data set of pore local spatial scale is established based on the length of each ray, and the optimal segmentation threshold value of the data set of the pore local spatial scale is determined; and 5) the pore diameter distribution of the complex reservoir rock can be obtained according to the optimal segmentation threshold value obtained in the step 4). With the method of the invention adopted, the pore diameter distribution of the complex reservoir rock can be extracted accurately.

Description

technical field [0001] The invention belongs to the field of petroleum well logging, and relates to a method for extracting the pore structure parameters of complex reservoir rocks. Background technique [0002] The pore structure has an important influence on the physical properties of rocks such as electrical properties, seepage, and nuclear magnetic properties, and has always been a hot and difficult research point. The latest method for quantitative characterization of the three-dimensional complex pore structure of rocks is based on digital cores, and quantitative characterization is performed by extracting the pore network model of the microscopic pore space. Zhao et al. used the multi-directional scanning method to scan the digital core pore space in multi-directional slices to search for pores and throats. This method is difficult to detect pores accurately. Shin et al. used the pore-centered axis method to study the microstructure of pores. This method can reasonab...

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Problems solved by technology

Dong used the maximum sphere algorithm to extract the pore network model of the digital core. This method has a fast modeling speed and can divide the pores and throats. However, the final determined pore length is too large and the throat length is too small, which indirectly affects other pores and throats. Determination of Throat Parameters

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