ssdvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv

1. Comparison of Effective Porosity
Predicted from Lab. and Log
Project graduation presentation
April,14 , 2024
Basrah University for Oil and Gas
College of Oil and Gas Engineering
Department of Oil and Gas
Engineering

2. Our Team
Ali Majeed
Oil & Gas Dept.
4th Stage
Najim Hassan
Oil & Gas Dept.
4th Stage
Mustafa Imad
Oil & Gas Dept.
4th Stage
Hussein Muhammad
Oil & Gas Dept.
4th Stage

3. Group Details
Supervisor
Eng: Sajjad Jameel Naser

4. Agenda
• Introduction
• Principles of well-logging
• About Techlog
• Geological description
• Aim of Study
• Methodology
• Results and Conclusion
• Conclusions & Recommendations

5. 1
Basrah University for Oil and Gas
Introduction
• Porosity is a one of critical
parameters to consider if
a certain geological
subsurface is a reservoir
or not.
• It represents the network
character of the pores.

6. 2
Basrah University for Oil and Gas
Principles of Well Logging
• A recording against a depth of
the characteristics of the
formations by logging tools
lowered into the well.
• Porosity logs can be divided
into three types:
 Density Log
 Neutron Log
 Acoustic (Sonic) Log.

7. 3
Basrah University for Oil and Gas
About Techlog
• Techlog software is used to integrate all the available data.
• To interpret the input of different petrophysical properties to
deliver a more realistic and accurate evaluation.

8. 4
Basrah University for Oil and Gas
Geological description
• Rumaila oilfield, which was
discovered in 1953
• Is the most important field
in the southern part of Iraq.

9. 5
Basrah University for Oil and Gas
Aim of Study
• Our study focuses on porosity evaluation for each
reservoir unit in Zubair formation.
• is one of the formations that can be considered an
important reservoir in the south of Iraq due to its
good reservoir properties.

10. 6
Basrah University for Oil and Gas
Aim of Study

11. 7
Basrah University for Oil and Gas
Methodology
• based on a set of existing
data of two wells R-172
and R-179 at North
Rumaila Oil Field.
• Two wells with the
following log data:
• Gamma ray (GR)
• Density (DEN)
• Neutron (NEU)
• Acoustic (AC)
• Bit size (BS)
• Caliper (CALI)

12. 8
Basrah University for Oil and Gas
Methodology
Lithology Identification
• By Neutron density N-D and minerals identification
M-N cross plots.
• indicate that the formation of interest is mainly
composed of sandstone, shale and carbonates.

13. 9
Basrah University for Oil and Gas
Methodology
Reservoir Units
• In our area of interest, Zubair formation, there are
four general units with six reservoir units.
• Divided by interpretation well log petrophysical
properties i.e., Porosity and shale volume.

14. 10
Basrah University for Oil and Gas
Methodology
Porosity Computation
• We chose neutron-density method, because r-
squared of correlation between core and logs
porosity are high 0.818 respectively

15. 11
Basrah University for Oil and Gas
R-179 R-172

16. 12
Basrah University for Oil and Gas
Results and Conclusion
Results
• R-squared (R2) of correlation between core and logs porosity are high 0.818 respectively as
shown in the charts below.
• The value of porosity in the neutron _density was calculated as 0.23, the value of porosity in
density was 0.16, and the value of porosity in sonic is 0.17.

17. 13
Basrah University for Oil and Gas
Results and Conclusion

19. Thank You for your attention