Preview

Georesources

Advanced search

Prognosis of leaching zones distribution in carbonate reservoirs

https://doi.org/10.18599/grs.2022.4.10

Abstract

The proposed method of predicting spatial distribution of leaching zones in carbonate reservoirs includes integrated interpretation of well logging data, including electrical microimages (Formation MicroImager – FMI), together with analysis of lithofacies within depositional cycles. Based on the comparison of FMI data with results of lithological and petrophysical studies of the core, an atlas of diagenetic porosity images for the studied formation was developed. Choquette and Pray international classification was used for pore typing. Applying the developed atlas to FMI logs, karstification zones were identified and classified in reference wells. In wells, where only standard well loggings was performed, karstification zones were identified using a developed decision tree. Sedimentological and sequence stratigraphic analysis made it possible to identify sedimentation cycles and to correlate the main lithofacies within the target reservoir. It was established that microbial and shallow facies form the most productive part of the reservoir. These facies with initially high primary porosity were subjected to the most intensive karstification along sequence stratigraphic boundaries due to subaerial exposure. The established relationships between leaching zones, lithofacies, and sequence-stratigraphic boundaries made it possible to carry out inter-well correlation of karstified intervals. The correlation will allow construction of leaching zones maps, that will be further applied for geological modeling.

About the Authors

A. A. Tchistiakov
Skolkovo Institute of Science and Technology
Russian Federation

Alexei A. Tchistiakov – Professor, Center for Hydrocarbon Recovery

Sikorsky str., 11, Moscow, 121205



K. O. Zudina
Skolkovo Institute of Science and Technology
Russian Federation

Kseniia O. Zudina – Postgraduate Student

Sikorsky str., 11, Moscow, 121205



A. R. Davletshina
Skolkovo Institute of Science and Technology
Russian Federation

Aigul R. Davletshina – Graduate Student

Sikorsky str., 11, Moscow, 121205



E. V. Shvalyuk
Skolkovo Institute of Science and Technology
Russian Federation

Elizaveta V. Shvalyuk – Postgraduate Student, Center for Hydrocarbon Recovery

Sikorsky str., 11, Moscow, 121205



V. E. Baranov
VNIIneft
Russian Federation

Vitaly E. Baranov – Head of the Department of Geology, Scientific and Technical Center

Dmitrovsky proezd, 11, Moscow, 127422



References

1. Aghli G., Moussavi-Harami R., Mohammadian R. (2020). Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data (a case study, carbonate Asmari Formation, Zagros Basin, SW Iran). Petroleum Science, 17, pp. 51–69. https://doi.org/10.1007/s12182-019-00413-0

2. Catuneanu O. (2017). Sequence Stratigraphy: Guidelines for a Standard Methodology. Stratigraphy and Timescales, 2, pp. 2–57. https://doi.org/10.1016/bs.sats.2017.07.003

3. Catuneanu O. (2020). Sequence stratigraphy. Regional Geology and Tectonics: Principles of Geologic Analysis, pp. 605–686. https://doi.org/10.1016/B978-0-444-64134-2.00021-3

4. Choquette, P.W., Pray, Ll.C. (1970). Geologic Nomenclature and Classification of Proposity in Sedimentary Carbonates. American Association of Petroleum Geologists Bulletin, 54(2), pp. 207–250. doi: 10.1306/5d25c98b-16c1-11d7-8645000102c1865d

5. Coe A. (2003). The Sedimentary Record of Sea-Level Change. The Open University, 279 p.

6. Frolov V.T. (1992). Lithology. Moscow: MSU Publ., 336 p. (In Russ.)

7. Kharitontseva P., Gardiner A., Tugarova M., Chernov D., Maksimova E., Churochkin I., Rukavishnikov V. (2021). An integrated approach for formation micro-image rock typing based on petrography data: A case study in shallow marine carbonate. Geosciences (Switzerland), 11, 235 p. https://doi.org/10.3390/geosciences11060235

8. Kuznetsov V.G. (1992). Natural reservoirs of oil and gas carbonate deposits. Moscow: Nedra, 240 p. (In Russ.)

9. Kuznetsov V.G. (2003). Evolution of carbonate accumulation in the history of the Earth. Moscow: GEOS, 262 p. (In Russ.)

10. Mazzullo S.J. (2004). Overview of Porosity Evolution in Carbonate Reservoirs. Search and Discovery Article. http://www.kgslibrary.com/bulletins/bulletins.htm

11. Moore C.H. (1989). Carbonate diagenesis and porosity. Developments in Sedimentology, Vol. 46. Elsevier, Amsterdam. https://doi.org/10.1016/0920-4105(92)90066-A

12. Moore C.H. (2004). Carbonate Reservoirs. Porosity Evolution and Diagenesis in a Sequence Stratigraphic Framework. Elsevier, 444 p.

13. Moore C.H., Wade W.J. (2013). Carbonate Reservoirs. Porosity and Diagenesis in a Sequence Stratigraphic Framework. Elsevier , v. 67, 392 p. https://doi.org/10.1016/B978-0-444-53831-4.00011-2

14. Morad S., Ketzer J.M., de Ros L.F. (2013). Linking Diagenesis to Sequence Stratigraphy: An Integrated Tool for Understanding and Predicting Reservoir Quality Distribution. In: Linking Diagenesis to Sequence Stratigraphy, pp. 1–36. https://doi.org/10.1002/9781118485347.ch1

15. Nader F.H. (2017). Multi-scale Quantitative Diagenesis and Impacts on Heterogeneity of Carbonate Reservoir Rocks. Springer, 146 p. https://doi.org/10.1007/978-3-319-46445-9

16. Neillo V., Pauget L., Neumann C. (2014). Integrated workflow to tackle heterogeneous karst dominated reservoirs: Kharyaga example. SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition. Moscow, pp. 491–503. https://doi.org/10.2118/171204-RU

17. Newberry B.M, Grace L.M., Stief D.D. (1996). Analysis of Carbonate Dual Porosity Systems from Borehole Electrical Images. Permian Basin Oil and Gas Recovery Conference. Midland, Texas. https://doi.org/10.2118/35158-MS

18. Shchukina N., Neumann C., Nely G., Spina V., Debroux J-L. (2013). Geosciences and Reservoir Integration – Key to Better Predict Behavior Of Complex Fractured And Karstified Kharyaga Field. SPE Arctic and Extreme Environments Technical Conference and Exhibition. Moscow.https://doi.org/10.2118/166823-RU

19. Tucker M.E., Wright V.P., Dickson J.A.D. (1990). Carbonate sedimentology. Blackwell Scientific Publications, 482 p. https://doi.org/10.1002/9781444314175

20. Vincent B., Witkowski F., Horbury A., Chistyakov A., Koloskov V. (2019). Depositional and diagenetic controls of carbonate reservoir property distribution in a SuperGiant reservoir, SE Iraq. First EAGE Reservoir Characterization and Modelling Workflows for Giant Carbonate Field Developments of the Middle East. United Arab Emirates. https://doi.org/10.3997/2214-4609.201900187

21. Zeghlache M.L., Akbar M. (2015). PaHigh Resolution Image Log and Leached Porosity Analysis in Complex Carbonate Reservoirs. EUROPEC. Spain. https://doi.org/10.2118/174306-MS

22. Zhemchugova V.A. (2014). Reservoir sedimentology of carbonate deposits. Moscow: EAGE Geomodel, 232 p. (In Russ.)


Review

For citations:


Tchistiakov A.A., Zudina K.O., Davletshina A.R., Shvalyuk E.V., Baranov V.E. Prognosis of leaching zones distribution in carbonate reservoirs. Georesursy = Georesources. 2022;24(4):117-125. (In Russ.) https://doi.org/10.18599/grs.2022.4.10

Views: 87


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1608-5043 (Print)
ISSN 1608-5078 (Online)