Effects of Filtering Techniques on Interpretation of Production Log Data in Oil Wells

فاقد چكيده

Production logs are run by means of a series of logging tools for measuring different properties of the fluid flowing in the well. The raw data recorded by each tool can be directly used for interpretation, but usually raw data are mixed with noises, uncertainty, and errors. Proper filtering of raw data before processing and interpretation is essential in a good production log analysis. In this work, a program was written in Microsoft Visual Basic Net for plotting lag data, filtering, smoothing and statistical analysis of raw data. Several filtering and smoothing techniques are applied to raw data of production log test of a well producing from a naturally fractured reservoir in southwest of Iran. The effectiveness of any technique is compared with other methods and also with original raw data.