1887
Volume 41, Issue 6
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

Sand-lithofacies distributions are a vital component of reservoir characterisation and the generation of successful reservoir models, particularly in thin reservoirs thickness. The integration between seismic attributes and conceptual geologic models is important to identify the sand distributions and reservoir geometries. The aim of this work is illustrating the uses of seismic data in revealing the structural and stratigraphic elements of two main reservoir units. It is important to identify and list the attributes, which can be involved in analysing the reservoirs and their degree of involvement in the characterisation of the hydrocarbon accumulation zones. The study was carried out for the reservoirs: Abu Roash C and Abu Roach E in Sitra oil and gas concession, which is located in the northern part of the Egyptian Western Desert. Four seismic attributes are used: 1- Coherence (Variance) 2- 3D Curvature attributes were used for resolving mainly the structural features and also the stratigraphic features 3- Instantaneous phase 4- Instantaneous frequency attributes were used mainly for resolving the stratigraphic features. Through the integration of selected seismic attributes with post-stack seismic data, reservoir distributions and architectures are accurately delineated for the Upper Cretaceous reservoir (Abu Roash ‘C’ and ‘E’). Five wells were used to match the results of the seismic attributes and establish the regional trends of reservoir parameters. The integration of wells data, conventional seismic interpretation and extracted the relevant seismic attributes help in reaching a robust geologic model for the reservoirs of interest. Stratigraphic and structural interpretation objectives based on extracting the seismic attributes for reservoir characterisation become more dominant, as they go deeper in seismic data, to derive more subsurface geologic data than traditional interpretation. 3D structure model of the concern area was established by interpreting the available seismic data as both reservoirs implicated by two fault trends: NW-SE and ENE-WSW. By the end a 3D geological model was defined based on the results of the conventional interpretation of the seismic and seismic attributes to reflect all structural and stratigraphic elements of the two reservoir units.

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2023-06-01
2024-04-23
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References

  1. Abd El-Moneam, R. [2017]. 3D seismic reflection amplitude and instantaneous frequency attributes in mapping thin hydrocarbon reservoir lithofacies: Morrison NE Field and Morrison Field, Clark County, KS. PureApplied Geophysics, 174, 4379–4394. https://doi.org/10.1007/s00024-017-1664-1.
    [Google Scholar]
  2. Adero, B., Masinde, A. and Osukuku, G. [2017]. Using seismic attributes for reservoir characterization, EAGE.
    [Google Scholar]
  3. Andy, R. [2001]. Curvature attributes and their application to 3D interpreted horizons, First Break, 19(2), 85–100. https://doi.org/10.1046/j.0263-5046.2001.00142.x.
    [Google Scholar]
  4. Barakat, M.K. and Nooh, A.Z. [2017]. Reservoir quality using the routine core analysis data of Abu Roash “C” in Badr El Din-15 oil field, AG Basin, north Western Desert, Egypt.Journal of African Earth Science, 129, 683–691. https://doi.org/10.1016/j.jafrearsci.2017.02.019
    [Google Scholar]
  5. Barnes, A.E. [2001]. Seismic attributes in your facies.CSEG, Rec 09, 41–47.
    [Google Scholar]
  6. Chen, Q. and Sidney, S. [1997]. Seismic attribute technology for reservoir forecasting and monitoring.The Leading Edge, 445–456. https://doi.org/10.1190/1.1437657.
    [Google Scholar]
  7. Chopra, S. and Marfurt, K. [2008]. Multi-spectral volumetric curvature adding value to 3D seismic data interpretation. SEG Technical Program, ISSN (online), 1949–4645. https://doi.org/10.1190/1.3059385.
    [Google Scholar]
  8. EGPC [1992]. The Jurassic sediments in Abu Gharadig Basin are promising reservoir and source, in: 12th Petroleum Exploration and Production Conference, EGPC, Cairo, 248–262.
    [Google Scholar]
  9. EGPC [1992]. Western Desert, oil and gas fields, a comprehensive overview. In: 11th Petroleum Exploration and Production Conference, Egyptian General Petroleum Corporation, Cairo. 1–431.
    [Google Scholar]
  10. El Gazzar, A.M., Moustafa, A.R. and Benthama, P. [2016]. Structural evolution of the Abu Gharadig field area, Northern Western Desert, Egypt.Journal of African Earth Sciences.124, 340–354. https://doi.org/10.1016/j.jafrearsci.2016.09.027.
    [Google Scholar]
  11. El Gezeery, NH. and O’Connor, T. [1975]. Cretaceous rock units in the Western Desert, Egypt. In: 13th annual meeting of geological society of Egypt. Geological Society, Cairo, p. 2.
    [Google Scholar]
  12. Farrokhnia, F., Kahoo, A. and Mehrdad, S. [2018]. Automatic salt dome detection in seismic data by combination of attribute analysis on CRS images and IGU map delineation.Journal of Applied Geophysics, APPGEO, 3605. https://doi.org/10.1016/j.jappgeo.2018.09.018.
    [Google Scholar]
  13. Fisher, R.A. [1918]. The correlation between relatives on the supposition of Mendelian inheritance. Transaction of the Royal Society of Edinburgh, 52, 399–433.
    [Google Scholar]
  14. Fisher, R.A. [1922]. On the mathematical foundations of theoretical statistics.The Philosophical Transactions of the Royal Society, A, ccxxii, 309–68.
    [Google Scholar]
  15. Hewaidy, A.G., Elshahat, O.R. and Kamal, S. [2018]. Stratigraphy, facies analysis and depositional environments of the upper unit of Abu Roash “E” member in the Abu Gharadig field, Western Desert. Egypt.Journal of African Earth Science, 139, 26–37. https://doi.org/10.1016/j.jafrearsci.2017.11.028.
    [Google Scholar]
  16. Hossain, S. [2019]. Application of seismic attribute analysis in fluvial seismic geomorphology, Journal of Petroleum Exploration and Production Technology10, 1009–1019. https://doi.org/doi.org/10.1007/s13202-019-00809-z.
    [Google Scholar]
  17. Khayer, K., Roshandel-Kahoo, A., Monfared, M. and Kavoosi, K. [2022]. Combination of seismic attributes using graph-based methods to identify the salt dome boundary, Journal of Petroleum Science and Engineering, 215(A), 110–625. https://doi.org/10.1016/j.pet-rol.2022.110625.
    [Google Scholar]
  18. Liang, Y., Li, C. and Yubing, S. [2019]. Application of seismic instantaneous attributes in gas reservoir prediction.Earth Environment Science, 237, 32–70. https://doi.org/10.1088/1755-1315/237/3/032070.
    [Google Scholar]
  19. Mousavi, J., Radad, M., Soleimani and Monfared, M. [2022]. Fault enhancement in seismic images by introducing a novel strategy integrating attributes and image analysis techniques.Pure Applied Geophysics, 179, 1645–1660. https://doi.org/10.1007/s00024-022-03014-y.
    [Google Scholar]
  20. Nejad, H., Monfared, M., Radad, M. and Khayer, K. [2021]. Proposing a new strategy in multiseismic attribute combination for identification of buried channel, Marine Geophysical Research, 42–35. https://doi.org/10.1007/s11001-021-09458-6.
    [Google Scholar]
  21. Radfar, A., Chakdel, A., Nejati, A., Soleimani, M. and Taati, F. [2018]. New insights into the structure of the South Caspian Basin from seismic reflection data, Gorgan Plain, Iran, International Journal of Earth Sciences, 108, 379–402. https://doi.org/10.1007/s00531-018-1659-x.
    [Google Scholar]
  22. Roberts, A., 2001. Curvature attributes and their application to 3D interpreted horizon.First Break, 19(2), 85–100. https://doi.org/10.1046/j.0263-5046.2001.00142.x.
    [Google Scholar]
  23. Roden, R., Smith, T. and Sacrey, D. [2015]. Geologic pattern recognition from seismic attributes: Principal component analysis and self-organizing maps, SEG, 3 (4). https://doi.org/10.1190/INT-2015-0037.1.
    [Google Scholar]
  24. Salama, H., Darwish, M., Wahdan, M. and El-Batal, A. [2017]. Identify re-development concepts to enhance Abu Roash “C” oil reservoir productivity Sitra Area, Abu Gharadig Basin, Western Desert, Egypt, Petroleum26 (235–267). https://doi.org/10.1016/j.ejpe.2016.04.003.
    [Google Scholar]
  25. Salem, I., Ghazala, H. and El Diasty, W. [2015]. Prospect evaluation of BED 3 and Sitra oilfields, Abu Gharadig Basin, North Western Desert, Egypt. NRIAG, Journal of Astronomy and Geophysics, 4. https://doi.org/10.1016/j.nrjag.2015.09.002
    [Google Scholar]
  26. Sarhan, M.A. and Basal, A.M.K. [2020]. Total organic carbon content deduced from resistivity-porosity logs overlay: a case study of Abu Roash formation, Southwest Qarun field, Gindi Basin. Egypt. NRIAG, Journal of Astronomy and Geophysics, 9, 190–205. https://doi.org/10.1080/20909977.2020.1736761
    [Google Scholar]
  27. Shaarawy, O. in and Abdel Halim, M., EGPC [1994]. Well evaluation conference of Egypt. Schlumberger.
    [Google Scholar]
  28. Taner, M.T., Koehler, F. and Sheriff, R.E. [1979]. Complex seismic trace analysis.Geophysics, 446:1041.
    [Google Scholar]
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