Tạp chí
 
Các số tiếng Anh
 
Số 64, Kỳ 1, [02 - 2023] - Tiếng Anh

Prediction of carbonate rock facies from core probe permeability measurements and well log data: a case study from carbonate reservoirs, Phu Khanh basin

DOI:10.46326/JMES.2023.64(1).03

  • Cơ quan:

    1 Hanoi University of Mining and Geology, Hanoi, Vietnam
    2 Joint venture Vietsovpetro, Ba Ria- Vung Tau, VietNam

  • *Tác giả liên hệ:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Nhận bài: 21-07-2022
  • Sửa xong: 25-10-2022
  • Chấp nhận: 02-12-2022
  • Ngày đăng: 01-02-2023
Trang: 22 - 29
Lượt xem: 4398
Xem onlineXem online
Lượt tải: 18
Tải về PDF
★★★★★Yêu thích: , Số lượt: 0
  • ★
  • ★
  • ★
  • ★
  • ★
Bạn yêu thích

Tóm tắt:

Probe permeameter (also known as Mini-permeameter) has been widely used in many field and laboratory applications where in-situ measurements and spatial distributions of permeability are needed. Mini-permeameter measurements have become popular techniques for collecting localized permeability measurements in both laboratory and field applications. It is designed to obtain fast, cheap, intensive and non-destructive permeability measurements and to describe the spatial arrangement of permeability. Currently the probe permeability meter is designed and manufactured as a portable air permeability for field applications and to be used in outcrop and core samples. In this instrument, the permeability is measured by air that flows from the samples to be measured into an air chamber through the vacuum created by increasing the volume of the chamber. In carbonate reservoirs, permeability predicted from pure porosity-permeability empirical relationship is often difficult due to complex rock pore systems leading to poor porosity-permeability relations. Once the relationships between permeability and textural rock properties are clearly established in carbonates, they can provide better permeability predictions from porosity data. Rock texture is an important parameter for the understanding of the porosity and permeability characteristics of carbonate reservoirs. In addition to predicting carbonate rock facies from routine core plug porosity and permeability measurements, there is an approach to determine carbonate reservoir facies based on core-plug probe permeability. The results of the probe permeability measurements, in this paper, can be used in combination with the porosity values derived from the well logs to classify and predict rock facies in carbonate cored or uncored reservoirs in Phu Khanh basin.

Trích dẫn
Hong Minh Thi Nguyen và Hong Thi Pham, 2023. Prediction of carbonate rock facies from core probe permeability measurements and well log data: a case study from carbonate reservoirs, Phu Khanh basin, Tạp chí Khoa học kỹ thuật Mỏ - Địa chất, số 64, kỳ 1, tr. 22-29.
Tài liệu tham khảo

Al-Azani, K., Al-Yousef, H., and Mahmoud, M. (2019). Effect of permeability anisotropy on probe permeameter measurements. In SPE Middle East Oil and Gas Show and Conference. OnePetro ( SPE-194769-MS), 1-13.

Ayan, C., Colley, N., Cowan, G., Ezekwe, E., Goode, P., Halford, F., ... and Pop, J. (1994). Measuring permeability anisotropy: The latest approach. Oilfield Review. (Netherlands), 6(4).

Brown, S., and Smith, M. (2013). A transient-flow syringe air permeameterSyringe permeameter. Geophysics, 78(5), D307-D313.

Corbett, P. A. T. R. I. C. K., Ellabad, Y. A. S. I. N., Mohammed, K. H. A. L. I. F. A., and Pososyaev, A. N. D. R. E. I. (2003). Global hydraulic elements-elementary petrophysics for reduced reservoir modelling. In 65th EAGE Conference and Exhibition (pp. cp-6). European Association of Geoscientists and Engineers.

Dinwiddie, C. L., Molz, III, F. J., and Castle, J. W. (2003). A new small drill hole minipermeameter probe for in situ permeability measurement: Fluid mechanics and geometrical factors. Water Resources Research, 39(7).

Lucia, F. J. (1983). Petrophysical parameters estimated from visual descriptions of carbonate rocks: a field classification of carbonate pore space. Journal of Petroleum Technology,35(03), 629-637.

Lucia, F. J. (1995). Rock-fabric/petrophysical classification of carbonate pore space for reservoir characterization. AAPG Bulletin, vol. 79(9). 1275-1300.

Lucia, F. J. (2007). Carbonate Reservoir Characterization An Integrated Approach Springer-Verlag. Heidelberg. ISBN 978-3-540-72740-8.

Meyer, R. (2002). Anisotropy of sandstone permeability. CREWES Research Report, Vol. 14 , 1-12.

Nguyen, H., Nguyen, V. D. (2010). The Petroleum Geology and Resources of Vietnam. Chapter: Phu Khanh Sedimentary Basin and Petroleum Potential Publisher. Science and Technics Publishing House. 247-284.

Potter, D. K., and Le, A. H. (2003, June). Genetically Focused Neural Nets for Permeability Prediction from Wireline Logs. In 65th EAGE Conference and Exhibition (pp. cp-6). European Association of Geoscientists and Engineers.

Sadeq, Q. M., and Yusoff, W. I. B. W. (2015). Porosity and permeability analysis from well logs and core in fracture, vugy and intercrystalline carbonate reservoirs. Journal of Aquaculture Research and Development, 6(10), 1.

Các bài báo khác