Automatic Identification Water Flooding Level of Oil Layer Based on Fluorescence Microscopic Image Processing Technology

摘要

Based on fluorescence microscopic image data of hermetic coring well, this paper realizes fluorescence image quantification interpretation for different reservoir and water-flooded level, through studying the fluorescent color, relative intensity and change rule of the light-emitting area in different water-flooded levels, establishing quantitative standards of fluorescent color and fluorescence intensity. Taking advantage of images of colorimetric principle, cluster analysis was used for analyzing the fluorescence color and each color of the wavelength and the relative strength was quantified in this paper. By means of image processing, count the pixels with similar fluorescent color to identify the light-emitting area of fluorescence, then draw quantitative spectrum graph of fluorescent image, finally realize the automatic identification of water flooded degree.