Evaluation of petrophysical properties using well logs of Khasib formation in east Baghdad oil field, central area

The assessment of petroleum characteristics through well log analysis has always been essential for identifying and evaluating hydrocarbon-bearing zones. This study presents a comprehensive re-evaluation and correction of five well log data sets from Khasib formation which is the primary reservoir in the East Baghdad oil field (10 kilometers east of Baghdad City). The corrected data sets were utilized to calculate key parameters, including water saturation, porosity, lithology, and shale volume. Lithology was determined using M-N cross-plots and neutron-density analysis, which showed that the Khasib formation mainly consists of limestone, with calcite as main mineral components and minor amounts of dolomite. Shale volume was assessed using both single and dual shale indicators. The three main logs of porosity neutron, density, and sonic logs were used for computing the porosity. Then, Archie equation was employed to determine water saturation. To verify the accuracy of the computation, a comparison between the results and the available core data was conducted, which indicated that porosity values ranged from 0.143 to 0.212, while water saturation varied from 0.643 to 0.951. In addition, core samples and geological reports confirmed that Khasib formation was clean with minimal shale content.

Authors

Institutions

Publication Details

Journal
Iraqi Journal of Chemical and Petroleum Engineering
Published
2025-06-30
DOI
https://doi.org/10.31699/ijcpe.2025.2.14
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of petrophysical properties using well logs of Khasib formation in east Baghdad oil field, central area

Rwaida K. AbdulMajeed, Noor F. Hameed
Iraqi Journal of Chemical and Petroleum Engineering
Hydrocarbon exploration and reservoir analysis
article

Evaluation of petrophysical properties using well logs of Khasib formation in east Baghdad oil field, central area

Rwaida K. AbdulMajeed, Noor F. Hameed
article en

Abstract

The assessment of petroleum characteristics through well log analysis has always been essential for identifying and evaluating hydrocarbon-bearing zones. This study presents a comprehensive re-evaluation and correction of five well log data sets from Khasib formation which is the primary reservoir in the East Baghdad oil field (10 kilometers east of Baghdad City). The corrected data sets were utilized to calculate key parameters, including water saturation, porosity, lithology, and shale volume. Lithology was determined using M-N cross-plots and neutron-density analysis, which showed that the Khasib formation mainly consists of limestone, with calcite as main mineral components and minor amounts of dolomite. Shale volume was assessed using both single and dual shale indicators. The three main logs of porosity neutron, density, and sonic logs were used for computing the porosity. Then, Archie equation was employed to determine water saturation. To verify the accuracy of the computation, a comparison between the results and the available core data was conducted, which indicated that porosity values ranged from 0.143 to 0.212, while water saturation varied from 0.643 to 0.951. In addition, core samples and geological reports confirmed that Khasib formation was clean with minimal shale content.

Iraqi Journal of Chemical and Petroleum EngineeringVol. 26(2)
University of Baghdad (IQ)
Openalex Percentile: Top 83%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.