低渗透砂岩储层孔隙度的太赫兹成像表征  

Characterization of porosity in low-permeability sandstone reservoirs using terahertz imaging

作　　者：苗昕扬 熊舒洁 安天天 刘学聪 赵昆[1] MIAO Xinyang;XIONG Shujie;AN Tiantian;LIU Xuecong;ZHAO Kun(Key Laboratory of Oil and Gas Terahertz Spectroscopy and Photoelectric Detection,Petroleum and Chemical Industry Federation,College of New Energy and Materials,China University of Petroleum,Beijing102249,China)

机构地区：[1]中国石油大学(北京)新能源与材料学院,全国石油和化工行业油气THz波谱与光电检测重点实验室,北京102249

出　　处：《光学技术》2025年第2期225-232,共8页Optical Technique

基　　金：国家自然科学基金(12404502,12374412)。

摘　　要：以松辽盆地扶余油层为研究对象,结合岩石学特征,采用反射式太赫兹(THz)光谱成像技术对来自不同井位、深度的10个致密砂岩样本进行孔隙分布表征。结果表明,受孔隙非均匀分布的影响,THz反射率在样本不同位置展现出显著差异。基于BP神经网络实现了对孔隙度的精准量化,并构建了基于有效介质理论的孔隙度量化评价模型,实现对样本整体孔隙度的定量分析及孔隙分布可视化,有望为深入理解储层渗流机制及优化开采方案设计提供技术支撑。This study utilized reflection terahertz(THz) spectroscopic imaging technology and petrological characteristics to investigate the pore distribution in 10 tight sandstone samples from different well locations and depths, focusing on the Fuyu oil reservoir in the Songliao Basin. The results showed significant variations in THz reflectivity due to non-uniform pore distribution. By employing a BP neural network, accurate quantification of porosity was achieved, along with the development of an evaluation model based on effective medium theory for measuring porosity levels. This approach enabled quantitative analysis of overall porosity and visualization of pore distribution within samples, providing valuable insights into reservoir fluid flow mechanisms and optimization of exploitation plan designs.

关 键 词：应用光学 THz成像 低渗透储层 孔隙度 有效介质理论 

分 类 号：TE311[石油与天然气工程—油气田开发工程] TP391.41[自动化与计算机技术—计算机应用技术]