LITHOLOGY EFFECTS ON THE FRACTURES PARAMETERS USING IMAGE LOG AND PETROPHYSICAL DATA
Аннотация и ключевые слова
Аннотация (русский):
Fractures within a reservoir play an influential role in the porosity and permeability, therefore affect the fluid flow. By analyzing properties of fractures, such as fracture height, density and mutually spacing and compare them with different tectonic locations and different lithologies, one could gain insight in the mechanical behavior of a rock mass, when distorted by tectonic forces. The velocity deviation log (VDL) can be used for determination of effective porosity. The result indicated that there is a high fractures density in the Asmari Formation which shows high correlation with VDL. They are mainly strike N75E, S75W direction and are chiefly observed in the upper Asmari zones. Fractures and vuggy have been also observed in the well. Image log showed a range of bedding dip from 53--89 degree with strike N55W, S55E in the well indicating of reverse limb in the field. Image log show tow set fracture which azimuth 347 for discontinuous fracture and 220 with strike N55W, S55E for continuous fracture. Main type of lithology determined by petrophysical log showed that dolomite is dominant constituent. Induced fractures and breakouts haven't seen observed in this well. After correlating image logs with VDL and lithology, zones with dominant pure dolomite presented higher aperture rather zones with dolomite and anhydrite. Fracture density is more affected by bed thickness to mineralogy. Zones with negative deviation velocity have high fracture density or high fracture aperture.

Ключевые слова:
Asamari formation, velocity deviation log, image log, fracture, gachsaran oil field
Текст
Текст произведения (PDF): Читать Скачать
Список литературы

1. Aghli, G. Fracture analysis of the Asmari reservoir in Balarud oilfield using the image logs - Ahvaz, Iran: Shahid Chamran University., 2013.

2. Alavi, M. Regional stratigraphy of the Zagros fold-thrust belt of Iran and its proforeland evolution, // American Journal of Science, 2004. - v. 304 - no. 1 - p. 1.

3. Alavi, M. Structures of the Zagros fold-thrust belt in Iran, // American Journal of Science, 2007. - v. 307 - no. 9 - p. 1064.

4. Ahmadhadi, F., Daniel, J., Azzizadeh, M., Lacombe, O. Evidence for pre-folding vein development in the Oligo-Miocene Asmari Formation in the Central Zagros Fold Belt, Iran, // Tectonics, 2008. - v. 27 - no. TC1016 - p. 1.

5. Anselmetti, F. S., Eberli, G. P. Controls on sonic velocity in carbonates, // Pure [ampersand] Applied Geophysics, 1993. - v. 141 - no. 2-4 - p. 287.

6. Anselmetti, F. S., Eberli, G. P. The velocity-deviation log: A tool to predict pore type permeability trends in carbonates drill holes from sonic [ampersand] porosity or density logs, // AAPG Bulletin, 1999. - v. 83 - no. 3 - p. 450.

7. Bai, T., Pollard, D. D. Fracture spacing in layered rock: A new exploration based on the stress transition, // Journal of Structure Geology, 2000. - v. 22 - p. 43.

8. Dawei, L., Ning, L., Hao, W., Dong, W., Zheng, Y., Mingfa, Y. Logging Evaluation Technologies of Complex Lithologic Reservoir - China: Science [ampersand] Technology Management Department, Petroleum Technology Development Corporation., 2013. - 24 pp.

9. Ekstrom, M. P., Dahan, C., Chen, M. Y., Lloyd, P., Rossi, D. J. Formation imaging with microelectrical scanning arrays, // Log Analyst, 1987. - v. 28 - p. 294.

10. Gholipour, A. M. Patterns and structural positions of productive fractures in the Asmari Reservoirs, Southwest Iran, // Journal of Canadian Petroleum Technology, 1998. - v. 37 - no. 1 - p. 44.

11. Khoshbakht, F., Memarian, H., Mohammadnia, M. Comparison of Asmari, Pabdeh and Gurpi formations fractures, derived from image log, // Journal of Petroleum Science and Engineering, 2009. - v. 67 - no. 1-2 - p. 65.

12. Khoshbakht, F., Azizzadeh, M., Memarian, H., Nourozi, G. H., Moallemi, S. A. Comparison of electrical image log with core in a fractured carbonate reservoir, // Journal of Petroleum Science and Engineering, 2012. - v. 86-87 - p. 289.

13. Massiot, C., McNamara, D. D., Nicol, A., Townend, J. Fracture width and spacing distributions from borehole televiewer logs and cores in the Rotokawa Geothermal Field, New Zealand // Proceedings World Geothermal Congress, Melbourne, Australia, 19-25 April - Melbourne, Australia: International Geothermal Association., 2015. - p. 289.

14. McQuarrie, N. Crustal scale geometry of the Zagros fold-thrust belt, Iran, // Journal of Structural Geology, 2004. - v. 26 - p. 519.

15. McQuillan, H. Small scale fracture density in Asmari formation of southwest Iran and its relation to bed thickness and structural setting, // American Association of Petroleum Geology Bulletin, 1973. - v. 47 - no. 12 - p. 2367.

16. Mohebbi, A., Haghighi, M., Sahimi, M. Conventional logs for fracture detection and characterization in one of the Iranian field // International Petroleum Technology Conference, 4-6 December, Dubai, U.A.E. - Dubai: Int. Petr. Techn. Conf.., 2007. - p. 2367.

17. Mottie, H. Geology of Iran; Petroleum geology of Zagros // Geological Society of Iran Publication - Tehran: Geological Society of Iran., 1995. - p. 2367.

18. Nelson, R. A. Geologic Analysis of Naturally Fractured Reservoirs, 2nd ed. - Houston, Texas: Gulf Publishing., 2001. - 332 pp.

19. Rider, H. The Geological Interpretation of Well Logs - Huston, Texas, USA: Gulf Publishing., 1996. - 280 pp.

20. Rajabi, M., Sherkati, S., Bohloli, B., Tingay, M. Subsurface fracture analysis and determination of in-situ stress direction using FMI logs: An example from the Santonian carbonates (Ilam Formation) in the Abadan Plain, Iran, // Tectonophysics, 2010. - v. 492 - no. 1-4 - p. 2367.

21. Rezaee, M. R., Chehrazi, A. Fundamentals of Well Log Interpretation - Tehran: University of Tehran., 2005.

22. Serra, O. Formation Micro Scanner Image Interpretation - Houston: Schlumberger Education Services., 1989.

23. Serra, O., Serra, L. Well Logging: Data Acquisition and Applications - Paris: Editions Technip., 2004. - 688 pp.

24. Schlumberger, FMI Fullbore Formation MicroImager - Houston: Schlumberger Education Services., 1994.

25. Schlumberger, Using borehole imagery to reveal key reservoir features // Reservoir Optimization Conference - Tehran, Iran: Chester., 2003. - p. 2367.

26. Sherkati, S., Letouzey, J. Variation of structural style and basin evolutionin in the central Zagros Izeh zone and Dezful Embayment, Iran, // Marine and Petroleum Geology, 2004. - v. 21 - p. 535.

27. Twerenbold, E. F., McQuillan, H. Asmari fold and fractures pattern study // Private Report - Tehran, Iran: Iranian Oil Consortium., 1962. - p. 535.

28. Thompson, L. B. Fractured reservoirs: Integration is the key to optimization, // Journal of Petroleum Technology, 2000. - v. 52 - no. 2 - p. 52.

29. Tingay, M., Reinecker, J., Müller, B. Borehole breakout and drilling-induced fracture analysis from image logs - Potsdam: GFZ German Research Centre for Geosciences., 2008.

30. Wang, Z., Nur, A. Dispersion analysis of acoustic velocities in Rocks, // Journal of Acoustical society of America, 1990. - v. 87 - no. 6 - p. 2384.

31. Wyllie, M. R. J., Gregory, A. R., Gardner, L. W. Elastic wave velocities in heterogeneous [ampersand] porous media, // Geophysics, 1956. - v. 21 - p. 41.

32. Ye, S., Rabiller, P. Automated fracture detection on high resolution resistivity borehole imagery // SPE annual technical conference and exhibition - New Orleans, Louisiana: Society of Petroleum Engineers., 1998. - p. 777.

33. Zhen, N. L. CIFLog-GeoMatrix logging data processing and interpretation software system integration manual (Chinese Edition) - China: Oil Industry., 2013.

Войти или Создать
* Забыли пароль?