High-resolution three-dimensional digital rock core modeling method

Abstract

The invention discloses a high-resolution digital rock core modeling method. The high-resolution digital rock core modeling method comprises the following steps: firstly, scanning a rock core by X-ray CT (computed tomography); then acquiring the rock throat radius distribution from rock core mercury data, acquiring the rock core porosity radius distribution from rock core nuclear magnetism data, intercepting the part the pore throat radius of which is less than the CT scanning resolution as an input parameter of a random network method, wherein the selected intercepted value is relevant to the CT scanning resolution; comparing the digital rock core porosity obtained by CT scanning with the experiment measurement porosity, calculating the size of the lost porosity of the digital rock core by CT scanning, and constructing a porosity network model by utilizing the intercepted pore throat radius distribution by adopting the random network method, wherein the porosity of the generated network model is consistent with the porosity lost in CT scanning; and converting the porosity network model into the micro porosity digital rock core by applying gridding method, and overlapping the digital rock core constructed by a mercury injection nuclear magnetism method to the digital rock core scanned by CT by adopting a multi-scale integration method. The method breaks through the restriction of CT scanning resolution.

Description

technical field [0001] The invention relates to a high-resolution three-dimensional digital rock core modeling method in the field of rock physics research, in particular to a method for constructing a high-resolution digital rock core by combining X-ray CT and mercury injection nuclear magnetic experiment technology. Background technique [0002] There are two main types of modeling methods for digital cores: one is physical methods, which use experimental instruments to directly image core samples to construct digital cores, mainly including sequential two-dimensional thin section superposition imaging methods, confocal laser scanning methods, and non-destructive X-ray CT methods. The scanning imaging method; the other is the mathematical method, which is based on high-precision two-dimensional thin-section images, and reconstructs three-dimensional digital cores through stochastic simulation or geological process simulation. [0003] Since the repeated cutting, planing an...

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Problems solved by technology

The existence of micropores makes the digital core porosity lower than the experimental porosity, and affects the pore connectivity of the digital core, which is not conducive to the subsequent numerical simulation research

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