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- 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 β’ Introduction β’ Principles of well-logging β’ About Techlog β’ Geological description β’ Aim of Study β’ Methodology β’ Results and Conclusion β’ Conclusions & Recommendations
- 5. 1 Basrah University for Oil and Gas Introduction β’ Porosity is a one of critical parameters to consider if a certain geological subsurface is a reservoir or not. β’ It represents the network character of the pores.
- 6. 2 Basrah University for Oil and Gas Principles of Well Logging β’ A recording against a depth of the characteristics of the formations by logging tools lowered into the well. β’ Porosity logs can be divided into three types: ο§ Density Log ο§ Neutron Log ο§ Acoustic (Sonic) Log.
- 7. 3 Basrah University for Oil and Gas About Techlog β’ Techlog software is used to integrate all the available data. β’ 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 β’ Rumaila oilfield, which was discovered in 1953 β’ Is the most important field in the southern part of Iraq.
- 9. 5 Basrah University for Oil and Gas Aim of Study β’ Our study focuses on porosity evaluation for each reservoir unit in Zubair formation. β’ 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 β’ based on a set of existing data of two wells R-172 and R-179 at North Rumaila Oil Field. β’ Two wells with the following log data: β’ Gamma ray (GR) β’ Density (DEN) β’ Neutron (NEU) β’ Acoustic (AC) β’ Bit size (BS) β’ Caliper (CALI)
- 12. 8 Basrah University for Oil and Gas Methodology Lithology Identification β’ By Neutron density N-D and minerals identification M-N cross plots. β’ 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 β’ In our area of interest, Zubair formation, there are four general units with six reservoir units. β’ Divided by interpretation well log petrophysical properties i.e., Porosity and shale volume.
- 14. 10 Basrah University for Oil and Gas Methodology Porosity Computation β’ 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 β’ R-squared (R2) of correlation between core and logs porosity are high 0.818 respectively as shown in the charts below. β’ 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