Research On Image Processing Methods For Imaging Logging And Core Images

The Deep Scientific Drilling Project in the Songliao Basin aims to establish a deep stratum structure profile in the Songliao Basin and achieve a fine characterization of centimeter-level high resolution of the Cretaceous most complete and continuous continental strata.As the main hole of the scientific drilling well in the deep scientific drilling project of the Songliao Basin,SK-II collected a large amount of geological data for the study of stratigraphic interfaces.Among them,the logging images and core images contain a lot of information,but the degree of use not tall.Therefore,the collected logging and core images are used to establish image processing and image feature parameter extraction methods for SK-II,to visualize logging,core images and borehole trajectories,and to provide image basis for establishing deep stratum structure profiles in Songliao Basin.Using the logging and core images collected by SK-II,the BSCB repair model was selected to repair the logging images for the log-free channels,core labels,edge pixels,red and black lines and other elements not related to the image.The blank path in the paper and objectively evaluate the repair result through the evaluation factor,the repair result is good;the repair method for the irrelevant elements of the core image of SK-II is independently designed to restore the core image of SK-II to the original characteristics of the core;Threshold segmentation and refinement of the image can obtain well logging and core images that highlight the main geological features;using image processed well logs and core images,image features such as gray level cooccurrence matrix,Hough transform and solution of principal dip angle are applied to them The parameter extraction method can accurately obtain the geological parameters such as the stratum structure characteristics and stratum occurrence in the logging and core images and implement them through examples;combined with the logging,core images and well deviation logging data,SK-II was suitable to be selected.The visualization method of logging and core images completes the visualization of logging and core images of SK-II and borehole trajectory reconstruction,laid the foundation for the visual model of the geological study SK-II.In this thesis,by analyzing the elements that are not related to geological characteristics in the logging and core images,we select and design the repair methods for the logging and core images of SK-II,and form a set of process logging and core image processing methods.The method can automatically process the logging and core images of SK-II;on this basis,the image feature parameter extraction work is carried out on the processed image,and the relationship between the geological features and the feature parameters in the formation of SK-II is summarized And accurately solve the occurrence of each layering in the stratum;establish a visualization model of well logging,core and borehole trajectory,and explore the visualization method of SK-II,which can provide a preliminary visualization model for the subsequent geological research of SK-II.