Research Of Image Processing Methods And Technology In Seismic Interpretation

In recent years,with the rapid development of science and technology in fields of oil and gas exploration,seismic data interpretation and comprehensive geological study technology has got a rapid development,new technology and methods emerge endlessly, new seismic data interpretation of coherent interpretation of seismic technology,seismic facies analysis,wave impedance inversion,reservoir prediction and three-dimensional visualization technology has got a comprehensive application and development.Digital Image Processing means that,digital image is processed through some specific mathematical mode to reach the process which is beneficial to visual sense or image information some acceptive systems need. Like wiping out interferences form image polluted by signal interferences,enhancing image in which the information is weak and applying the method of geometry correction on distorted image.With the rapid development of computer software and hardware technology,and the continuous development of digital processing technology,digital image processing is getting more and more applications in scientific research,exploration,national defense,modern management decision-making and other industries.The subject goal is for the specific issues of the seismic exploration explanation for oil,to research the techniques of image denoising,edge detection,image enhancement and other theoretical methods and implementation techniques,which are applied in fields of the extraction of the fault polygons in seismic implementation,practical areas such as reservoir prediction,gradually to replace the previous seismic interpretation of the "hand-era",developing application software systems to solve specific problems,for oil field exploration,development services.Therefore,the issue if of important theoretical significance and application value.The software system which can solve specific problems can supply services for oil field exploration and development. Therefore,the study of the topic is very important to the exploration and development of oil field.The main contents of this paper and the results achieved include:(1 Establishes wavelet transform and the combination of median filtering method of the seismic image denoising. Using the advantages of wavelet transform,combining the characteristics of the image edge information,a new image denoising method is given which can remove the noise effectively,. Meanwhile,the method is able to keep the image edge information well. Select the region affected by the minimum noise through smooth regions and gray uniformity,to deal with the target pixel.(2)Proposes a multi-scale adaptive edge detection algorithm.For traditional boundary tracking algorithm can only extract one outer boundary contour for the target of the multiple common point,an improved multi-scale adaptive algorithm for boundary tracking is proposed,which can not only successfully track the isolated border in the target image,but also several common points on the target tracking and boundary can be extracted separately.(3)Constructs a fuzzy set-based image enhancement method of seismic image,and a new membership function,fuzzy enhancement operator,which is based on the analysis and research on Pal-King fuzzy enhancement algorithm.Besides improved Pal-King fuzzy enhancement algorithm.Retain the image edge information of low gray value and ensure the overall image enhancement effects.In addition,the seismic wavelet-based image enhancement method also conducted a preliminary study.(4)Comprehensively uses filtering noise reduction,sharpening,edge detection,edge tracking extraction,image enhancement and other digital image processing technology,designs and develops coherent fault polygons slice detection system and reservoir prediction system.