Image Logging Data Processing And Fracture Identification Methods Research

Imaging logging is a new generation of logging technology, which shows us the thetwo-dimensional images of the well stratum formation by sensor array scanning. In recentyears, imaging logging plays a more and more important role in complex oil and gas reservoirgeological interpretation and evaluation. Image logging has become a research hotspot now.As the research object, this paper was based on the imaging logging data, and studied the keymethods in imaging logging interpretation system.The main research achievements and innovative points in this paper are as follows:Firstly, this paper discussed the LIS data file format in image logging system. Throughthe analysis of physical structure and logical structure in LIS file, objected-oriented analyticalmethod was adopted to realize the accurate imaging logging data analysis and storage.Somemethods, such as the acceleration correction, image data equalization processing and depthcorrection, are adopted to eliminate the influence factors of imaging logging. The good effectsof the FMI imaging is obtained by the color code defined in this paper. Better image wasobtained through the image filtering, image enhancement and such correlation image processmethod.Secondly, this paper emphatically researched on the fracture recognition based-on theOTSU method. Compared with conventional OTSU method, the two-dimensional OTSUmethod is made to realize the two-dimensional adaptive threshold fast fracture identification.Lookup tables were set up to realize the fast segmentation and fracture identification, andgood effect was obtained in the of fracture identification.Finally, this paper focused on the fracture identification method based on Houghtransform. Due to the characteristics of the logging image that the texture of the loggingimaging is complex and it is full of random noise, the traditional segmentation recognition method has poor antinoise ability and Hough transform that has the advantages of antinoise.In view of the big parameter space, low operation efficiency of traditional Hough transform,this paper improved the parameters optimization method, greatly reduce the complexity ofcomputation and space costs, improved the efficiency and precision of the fractureidentification. The method obtained a better results as well as higher recognition efficiencycompared with the traditional method.This paper adopted the Visual C++2010platform, based on the MFC class library, andrealized the imaging logging data analysis, data correction and mapping, image enhancement,crack recognition and such method. In the aspect of imaging logginggeological interpretationit has certain research significance and practical value.