Identifying and evaluating thin-bedded reservoirs using well logging data: A case study in Well X, Field YT, Cuu Long Basin, Vietnam

Document Type : Research Paper

Authors

1 Faculty of Geology & Petroleum Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam.

2 Vietnam National University Ho Chi Minh City, Ho Chi Mihn City, Vietnam.

3 Faculty of Geology, Ho Chi Minh City University of Science, Ho Chi Mihn City, Vietnam.

4 Faculty of Geology & Petroleum Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

5 Faculty of Physics, Ho Chi Minh City University of Science, Ho Chi Mihn City, Vietnam.

6 Faculty of Applied Science, Ho Chi Minh City University of Technology, Ho Chi Mihn City, Vietnam.

Abstract

During the current period of decline in oil and gas production in the Cuu Long Basin, it is necessary to evaluate a typical reservoir. One of the important geometrical reservoirs is the thin-bed reservoir. To determine the presence and evaluate the potential of thin-bedded reservoirs, well logging data are normally used. At Well X in the Cuu Long basin, the distribution of Gamma Ray values (histogram), log curves from well logging techniques, and geological analysis are used to calculate the percentages of sand and shale. Based on these results, thin-bedded reservoirs will be recognized. In this study, the sand percentage ranges from 40% to 60% (equivalent to a shale percentage range of 60% to 40%), indicating the presence of thin-bed layers. Porosity and permeability tend to decrease with increasing depth, particularly when moving from the Lower Miocene formation to the Upper Oligocene formation.

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References

  1. PetroVietnam, Geology and Petroleum Resources of Vietnam, 2019, Ha Noi, Science and Technics Publishing House.
  2. Viet, L. T., Chinh, V. V., Thang, T. V., Tung, V. D., Ha, L. T., Huong, N. T. T., Linh, P. D., Nam, D. H., & Quynh, B. V. Development of the tectonic structure of the Cuu Long basin in Cenozoic. Journal of Earth Sciences, (2012) 34(2), 136-145. https://doi.org/10.15625/0866-7187/34/2/1915
  3. Bao, C. X., Thuy, P. T., Phuoc, B. H., & Phong, N. Q. Evaluation of water saturation in the low resistivity reservoir of Te Giac Trang field, block 16-1, Cuu Long basin, offshore Vietnam. Petrovietnam Journal, (2014) 6, 20-23. https://pvj.com.vn/index.php/TCDK/article/view/570
  4. Pham Thi Duyen, & Mai Hoang Dam. Sequence stratigraphy and depositional environment of Oligocene - Early Miocene sediments of Te Giac Trang structure, block 16-1 in Cuu Long basin based on the characteristics of palynology and palynofacies. Petrovietnam Journal, (2014) 9, 14 - 23. https://doi.org/10.25073/petrovietnam%20journal.v9i0.293
  5. Nguyen Dinh, C., Mai Thanh, T., Tran Van, X., & Tran Nhu, H. Oligocene combination/stratigraphic traps and their reservoir quality in Cuu Long basin, offshore Vietnam. Petrovietnam Journal, (2019) 6, 30-40. https://doi.org/10.25073/petrovietnam journal.v6i0.179
  6. Phuoc, B. H. Evaluation of hydrocarbon reservoir potential in low-resistivity formations, Block 16-1, Cuu Long Basin (Doctoral dissertation). Hanoi University of Mining and Geology, (2021).
  7. Nguyen Pham, Kim Thien, Doan, Dung Thi, Nguyen, The Dac, Lee, Samie, Nguyen, Luc Quoc, Ngo, Hai Huu, Ngo, Quan Anh, Khuc, Giang Hong, and Hung Ngoc Tran. "Unlocking Potential in a Thinly Laminated Reservoir by Integrating Electric Logs, Images and Core Analysis: First Case Study in Vietnam. Paper presented at the Offshore Technology Conference Asia, Kuala Lumpur, Malaysia, November 2020. https://doi.org/10.4043/30088-MS
  8. Ramly, N. A., Hendraningrat, L., Sedaralit, M. F., Trianto, A., Kasim, F. H., and S. Baharuddin. Advanced Thin Bed Evaluation to Unlock Hydrocarbon Potential in Offshore Malaysian Fields. Paper presented at the ADIPEC, Abu Dhabi, UAE, October 2023. https://doi.org/10.2118/216905-MS
  9. Sahari, Sufizikri, et al. Comparison between conventional and high-resolution measurements for unlocking the thin laminated potential reservoir, a case study. IOP Conference Series: Earth and Environmental Science, (2022), Sci 1003 012042, https://iopscience.iop.org/article/10.1088/1755-1315/1003/1/012042
  10. Tabatabai, S.M., Chis, T. and Jugastreanu, C., Formation evaluation in low resistivity low contrast (LRLC) shaly sand thin lamination; forward modeling and inversion optimization using genetic algorithm. Romanian Journal of Petroleum & Gas Technology, Vol. III (LXXIV) No. 1/2022, http://jpgt.upg-ploiesti.ro/wp-content/uploads/2022/08/09_Articol-jurnal-UPG-nr-1_2022_Tabatabai_Chis_Jugastreanu1.pdf
  11. Tyagi, A. K., Bastia, R., Das, M., Identification and Evaluation of the Thin-bedded reservoir Potential in the East Coast Deep Water Basins of India, 7th International Conference & Exposition on Petroleum Geophysics, 2008, p. 317. https://spgindia.org/2008/317.pdf
  12. Kinney, J.J., Probability: an introduction with statistical applications, John Wiley & Sons, 2014, ISBN-10: ‎1118947088
  13. Catano, M.A., Climent, J. A New Morphological Measure of Histogram Bimodality. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_48
  14. Sturrock, P.A. Analysis of Bimodality in Histograms Formed from GALLEX and GNO Solar Neutrino Data. Sol Phys 249, 1–10 (2008). https://doi.org/10.1007/s11207-008-9170-3
  15. Nguyen Van, H., Hoang Viet, B., Nguyen Trung, D., Le Trung, T., Tran Van, H., & Hoang Thi Thu, T. Optimal water saturation model for Miocene reservoirs in the northeastern part of Cuu Long basin, Petrovietnam Journal, (2021) 7, 16 - 22. https://doi.org/10.47800/PVJ.2021.07-02
  16. Djebbar Tiab and Erle C. Donaldson, Gulf Professional Publishing, ISBN: 978-0-12-803188-9, (2016), https://www.sciencedirect.com/book/monograph/9780128031889/petrophysics
Journal of Chemical and Petroleum Engineering
Volume 60, Issue 1
June 2026
Pages 203-216

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History

  • Receive Date: 12 September 2024
  • Revise Date: 28 April 2026
  • Accept Date: 05 May 2026

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