通过描述图像的均衡性评价储层非均质性

Evaluate Reservoir Heterogeneity by Describing the Image's Equilibrium

解决成像测井解释中储层裂缝、孔洞的识别和评价参数的定量计算问题时,对成像测井图像进行处理评价储层的非均质性具有方位性、直观性和连续性的优势。利用指数高通滤波器,让FMI成像图像中高频成分通过,低频成分消弱,经傅里叶逆变换得到裂缝、孔洞锐化的图像,在此基础上取其图像灰度等高线,明确裂缝、孔洞的边界,可以更直观地分析储层的非均质性。建立灰度共生矩阵,对FMI指数高通滤波图提取纹理判别参数,可定量评价储层的非均质性。经常规方法验证,该方法具有可行性,且评价更为全面。

The method of processing imaging logging to evaluate reservoir heterogeneity has much advantages such as orientation, visualization, and continuity in identification of pore and fracture and quantitative parameter calculation. Firstly, using exponential high pass filter to let the high frequency components of FMI image pass and the low-frequency components weaken. Then Fourier transform is used to get sharpening cracks and hole＇s images, and based on the image contour to get clear cracks and pores＇ boundaries, which can help us analyze reservoir heterogeneity intuitively. Finally, gray level co-occurrence matrix is used to get the FMI high pass filter graph＇s texture discrimination parameters, and evaluate reservoir heterogeneity quantitatively. This method is feasible and more comprehensive through conventional methods validation.