Case study in North Iraq: Cluster analysis of well logs using IP program

Abstract

Diminish of error ratio to expecting the lithology of reservoir formation is considered as mean concerning of geology nowadays. The aim of research is to minimize the wrong reading data extract the lithology facies of the reservoir by preparing using Interactive Petrophysics program (IP) to make cluster analysis of multi well logs data. Log data of Kirkuk oil field used in this program included: Gamma ray (GR), sonic, neutron (N), bulk density (BD), Caliper and Resistivity logs. The basic concept of this method is to utilized K-mean clustering theory. Several wells have been conducted to emphasize this method which shows dropping in error ratio of confining the lithology and hydrocarbon existing as 41 wells have precisely predicted of methane prevailing.