شماره ركورد كنفرانس :
5048
عنوان مقاله :
Effects of Filtering Techniques on Interpretation of Production Log Data in Oil Wells
Author/Authors :
Mohammad ،Aghabeigi Petroleum Engineering Department - National Iranian South Oil Company (NISOC), Ahwaz, Iran , Ali Reza ،Tabatabaei Nejad Faculty of Chemical Engineering - Sahand University of Technology (SUT), Tabriz, Iran , Eghbal ،Sahraei Faculty of Chemical Engineering - Sahand University of Technology (SUT), Tabriz, Iran , Zohrab ،Dastkhan Petroleum Engineering Department - National Iranian South Oil Company (NISOC), Ahwaz, Iran
كليدواژه :
production log , flow profile , production zone , Log interpretation , Data processing
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
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.
