The Theory And Study On Logging Facies Analysis

With the enhanced exploration and development of oilfield, in order to find more favorable hydrocarbon accumulation zone, or increase productivity, facies analysis is needed. Log data is an important means in facies analysis. Traditional method is qualitative. The result is large personal influence. With the development of log subject and computer technology, Logging Facies Quantitative automatic Identification gradually popular, as now is an important content in modern sedimentary study..The paper has formed a new type of method on logging facies analysis by abstract some parameters from log curve which reflect facies characteristics , and neural network identification study, conjunction with database technology. The study has the characteristics that new and original in choice of theme, and practical in work..The main content of this study as follows:1. By study of log auto-separating method, the paper presents a method to layer by means of opposed differential slope.2. The paper digitized curve shape parameters by rational algorithm. Covert analysis from traditional qualitative to quantitative. Inherit the traditional method, and suitable for computer deal with large number of data.3. Build the Self-Organizing Map(SOM) model of neural network identification, SOM is a non-teacher study network model. By the study of sample, network provide a nature feature mapping.4. To promote the efficiency by build log facies computer analysis system to replace manual management. When applied the method in SeBei area facies analysis has brought satisfactory result.