基于MATLAB App Designer的数字岩心建模软件设计与开发

Design and Development of Digital Rock Modeling Software Based on MATLAB App Designer

摘要:

为解决现有商用数字岩心建模软件功能可扩展性弱、成本高等问题，该文基于 MATLAB App Designer 工具开发了一款集成化的数字岩心建模软件，该软件包括图像处理、图像分析和孔隙网络提取等三大功能模块。图像处理模块集成了中值滤波、高斯滤波、SUSAN平滑、图像锐化及阈值分割等多种图像处理算法；图像分析模块采用多平面切片与序列叠加方法、借助三维交互技术实现了岩心结构的三维可视化、切面展示与旋转浏览；孔隙网络提取模块采用最大球法提取孔隙网络，从而获取配位数、孔隙半径、孔隙体积等关键结构参数，利用直方图对结构参数分布进行统计分析。利用典型岩心样本对所开发的软件进行功能测试，结果表明：该软件功能集成度高、界面友好、操作简便，能够有效提升图像质量、对岩心图像进行三维可视化展示以及准确提取三维岩心的孔隙网络结构特征。软件具备良好的可扩展性和二次开发潜力，为后续开发数字岩心电学、声学、核磁共振等响应的数值仿真模块提供了前提。

Abstract:

To address the issues of poor functional extensibility and high cost associated with existing commercial digital rock modeling software, this study presents the development of an integrated digital rock modeling platform based on MATLAB App Designer. The developed software consists of three main functional modules: image processing, image analysis, and pore network extraction. The image processing module integrates multiple algorithms—including median filtering, Gaussian filtering, SUSAN smoothing, image sharpening, and threshold-based segmentation. The image analysis module combines multi-planar slicing with sequential stacking techniques and employs 3D interactive visualization to enable real-time 3D rendering, cross-sectional display, and rotational browsing of rock structures. The pore network extraction module utilizes the maximal ball algorithm to extract the pore-throat network and derive key structural parameters, including coordination number, pore radius, pore volume, throat radius, and throat volume. Histogram-based statistical analysis is then applied to characterize the distribution of these parameters. Functional testing was conducted using representative core samples. It has been demonstrated that the software achieves high integration of functionalities, features a user-friendly interface, and is easy to operate. It effectively enhances image quality, enables 3D visualization of core images, and accurately extracts structural characteristics of the 3D pore network. The software platform exhibits possesses excellent extensibility and potential for secondary development, laying a solid foundation for the future integration of numerical simulation modules for electrical, acoustic, and nuclear magnetic resonance (NMR) responses.