Effect of Filtering Techniques on Interpretation of Production Log Data

Production logging procedures are carried out in production and injection wells to diagnose well problems and identify flow profiles. These tasks can be used for optimization of productivity or injectivity of the well by identification of potential oil producing zones, blocking water producing zones, blocking thief zones, reperforation, etc. Production logs are run by means of a series of logging tools for measuring different properties of the fluid flowing in the well. Each tool measures a specific property and then sends data to the surface for recording. 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 for plotting lag data, filtering, smoothing and statistical analysis of raw data. Filtering and smoothing techniques are applied to raw data of production log tests of an oil production well and effectiveness of each technique is investigated.

کلیدواژه ها:

production log ، spinner flow meter ، flow profile ، production zone ، Log interpretation ، Data processing