Research On Digitizing And Correcting Well Logging Graph

In the field of oil exploration, logging drawings is logging data and widely used. Digitizing Engineering Drawings is the process of analyzing the scanned image of an engineering drawing in paper form and recognizing the graphic objects in the drawing, and finally, generating the digital format file.Automatically identifying and digitizing logging drawings will solve the problem of logging drawings in the process of preservation, conservation and management and save a lot of expenditure for oilfield. At the same time, it provides a basic and operational original data for more in-depth analysis and application. Studying digital methods of logging drawings has very important significance for oilfield.Recently, the technology of digitizing logging drawings has made much progress. However, there may be some logging drawings of deformation due to a variety of factors. The deformation may affect the accuracy of logging drawings more or less. Before digitizing logging drawings, there is a need for detection and correction to the deformation.This thesis studies logging drawings about the correction and digitization. Against the two major classes of deformation of logging drawings, this thesis proposes the skew correction based on the Hough transform and the correction method for local distortion. With some manual repair and erasure, these methods can satisfy the basic needs of the correction drawings. In the area of digitizing logging drawings, this thesis mainly discusses the digital method for grid and the digital information storage. The digital method for grid is the important component of digitizing logging drawings. Digitizing the grid has two purposes. Firstly, extract and preserve the grid information. Secondly, eliminate the interference of grid background and service for extracting curve. This thesis mainly states the extraction of back grid based on the application of automatic edge detection technology and automatic location of grid points using cross matching. Regarding some drawings of difficult automatic extraction information grid, this thesis presents the corresponding interactive artificial methods. In the process of digitizing logging drawings, digital storage of information is a very important part. It will advance digital preservation of the results to the database, drawing back to the data analysis. This thesis studies the logging drawings of information storage and the detailed storage method of information on the curve. In addition, this thesis proposes the corresponding solutions for large data storage problems.At last, this thesis discusses the design and implementation of logging drawings digital System.