## 5 Conclusions  
The traditional microscopic model mainly reflects the position of pores and throats, but it is weak in describing the topological structure and the shape of pores and throats, which easily causes the distortion of flow law. The new method proposed in this paper makes three improvements and achieves better results.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Method**} & \multirow{2}{*}{**Porosity**} & \multirow{2}{*}{**Distribution** **of Size**} & **Distribution of Coordination** & **Distribution of Pore Radius** & **Radius Distribution of the Throat Tract** & **Synthesize Similarity** \\ \hline Model I & 91.6\% & 81.3\% & 86.6\% & 84.2\% & 99.7\% & 88.7\% \\ \hline Model II & 90.5\% & 83.1\% & 93.8\% & 85.7\% & 99.6\% & 90.5\% \\ \hline \hline \end{tabular}
\end{table}
Table 3: A comprehensive similarity table for the individual parameters of the method.  
Under the control of cross-scale parameters such as porosity, pore radius, throat radius, coordination number, and particle size radius, the method simulates the diagenetic process of mineral compaction and dissolution and more accurately describes the microstructure and morphology of rock porous media. The similarity between the model and the real rock is more than 88.7%;
2. By selecting QSGS, stochastic modeling, image expansion, and genetic algorithm, the diagenetic process can be simulated step by step, which greatly improves the convergence speed of the model, and can efficiently generate a super-sized heterogeneous microscopic pore-throat network model, which is helpful for the study of cross-scale flow. According to the test, it takes only 455.9 s to generate a model with 100 million pixels and 85,000,000 pores, and it was not possible to generate such a large-scale pore-throat network model before;
3. In the application scenarios of geology, petroleum, groundwater, and other fields, the real porous media is often heterogeneous; that is, different regions have different microstructures, which profoundly affects the flow law of the fluid. The new method achieves the different characterization of different regions on the microscale, making the model more consistent with the real porous media in micro and macro characteristics.  
Traditional microscale flow simulations are often based on small-sized models with dozens of pores, focusing on scientific theoretical studies, so the conclusions are unconvinced to be applied to a realistic macroscale. Now, with the breakthroughs in GPU, quantum computing, image recognition, and other technologies, it becomes possible to directly study macroscopic questions at the microscopic scale. First of all, we need a super-sized microscopic pore throat network model that can directly characterize the macroscopic characteristics of porous media rather than being simplified and approximate. With the rapid development of research on microscopic pore structures, such as topology, fractal dimension, and other directions, pore throat models will be described by more abundant parameters. This method is extensible, and the similarity degree of models can be further improved by adding new constraint parameters, so as to establish a more realistic model.  
[PERSON] and [PERSON] designed the algorithm and guided the research. [PERSON] also drafted and wrote the manuscript. [PERSON] and [PERSON] were responsible for data analysis. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the National Natural Science Foundation of China under Grant [No. 52374051].  
Not applicable.  
The raw data supporting the conclusions of this article will be made available by the authors on request.  
Author [PERSON] was employed by the company Exploration and Development Research Institute of Sinopec Shengli Oilfield Branch. The remaining authors declare that the re-search was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.