3D dynamic fault sealing capacity modelling to improve history matching: a case study in Oligocene reservoir, Tay Ho Field, Blocks A, Cuu Long basin, Offshore

  • Affiliations:

    PVEP Block 01/97&02/97, HCM City, Vietnam

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  • Received: 19th-July-2022
  • Revised: 23rd-Oct-2022
  • Accepted: 21st-Nov-2022
  • Online: 1st-Feb-2023
Pages: 50 - 66
Views: 3308
Downloads: 15
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Abstract:

Fault transmissibility multipliers are a simple way of accounting for the effects of faults on fluid flow across fault plans in history matching of production simulation models. Fault transmissibility multipliers can be calculated using parameters such as fault clay, fault smear, thickness, and permeability. In this study, three emperical methods given by Manzocchi et al. (1999), Jolley et al. (2007), and Sperrevik et al. (2002) have been applied to the Oligocene sandstone reservoir, Tay Ho Field. The Oligocene reservoir is a complicated sandstone that was deposited in alluvial-fluvial and lacustrine environments, trapped by both stratigraphic and structural types, sandbody isolated by multi-activated faults. Fault sealing is one of the key factors controlling hydrocarbon accumulations and trap volume and can have a significant influence on reservoir performance during production. Furthermore, the prospective of structural or combination traps in stacked clastic reservoir settings that are typically found in many of the known hydrocarbon provinces in the Cuu Long basin, often critically hinges on the presence of a working fault side seal. Based on a thorough understanding of the key controls on fault seal risk and retention capacity, a consistent methodology to access these factors across a prospect portfolio is essential to achieve a balanced prospect ranking and an accurate assessment of prospect success volumes. In the process workflow built by PVEP Blocks 01/97 & 02/97, the assessment of fault seal capacity and compartmentalization in the Oligocene reservoir have been incorperated by using fault deformation, displacement, juxtaposition, fault zone thickness, shale gouge ratio (SGR), shale smear factor (SSF), clay smear potential (CSP), fault thickness and permeability. In our research, the Sperrevik et al. (2002) method provides the best historical match and most logical geological evidence; thus, it shall be used for dynamic models and further studies.

How to Cite
Vu, H.Viet, Nguyen, D.Duc, Phan, G.Phuoc, Le, V.Minh and Ninh, H.Hoang 2023. 3D dynamic fault sealing capacity modelling to improve history matching: a case study in Oligocene reservoir, Tay Ho Field, Blocks A, Cuu Long basin, Offshore. Journal of Mining and Earth Sciences. 64, 1 (Feb, 2023), 50-66. DOI:https://doi.org/10.46326/JMES.2023.64(1).06.
References

Allan, U. S. (1989). Model for hydrocarbon migration and entrapment within faulted structures: AAPGBulletin, 73,803-811.

Badleys, (2005). Reference manual, Trap Tester, p. 4.1-4.12.

Bouvier, J. D., Kaars-Sijpesteijn, C. H., Kluesner, D. F., Onyejekwe, C. C., and Van der Pal, R. C. (1989). Three-dimensional seismic interpretation and fault sealing investigations, Nun River Field, Nigeria. AAPG bulletin, 73(11), 1397-1414.

Fisher, Q. J., and Knipe, R. J. (1998). Fault sealing processes in siliciclastic sediments. Geological Society, London, Special Publications, Vol. 147, 117 - 134.

Freeman, B., Yielding, G., Needham, D. T., and Badley, M. E. (1998). Fault seal prediction: the gouge ratio method. Geological Society, London, Special Publications, 127(1), 19-25.10.1144/GSL.SP.1998.127.01.03.

Freeman, S., Harris, S. and Knipe, R. (2008). Fault seal mapping - Incorporating geometric and property uncertainty. Geological Society, London, Special Publications. 309. 5-38. 10.1144/SP309.2.

Fristad, T., Groth, A., Yielding, G. Freeman, B. (1997). Quantitative fault seal prediction: A case study from Oseberg Syd. Norwegian Petroleum Society Special Publications, 107-124.

Fulljames, J. R., Zijerveld, L. J. J., Franssen, R. C. M. W., Ingram, G. M., and Richard P. D. (1996). Fault seal processes, in Norwegian Petroleum Society, eds., Hydrocarbon seals-importance for exploration and production (conference abstracts). Oslo, Norwegian Petroleum Society, p. 5.

Gibson, R. G. (1998). Physical character and fluid-flow properties of sandstone-derived fault zones, in M.P. Coward, T.S.Daltaban, and H.Johnson,eds., Structural geology in reservoir characterizationGeological Society(London) Special Publication 127, p. 83-97.

Jolley, S.J., Dijk, H., Lamens, J.H., Fisher, Q.J., Manzzochi, T., Eikmans, H., and Huang, Y. (2007). Faulting and fault sealing in production simulation models: Brent Province, northern North Sea.Petroleum Geoscience, 13, 321-340.

Kaldi, J. (2008). Evaluating reservoir quality, seal potential and net pay: GEO India pre-conference training. 27 June - 1, July 2016, Lagos.

Lindsay, N. G., Murphy, F. C., Walsh, J. J., and Watterson, J. (1993). Outcrop studies of shale smear on fault surfaces. International Association of Sedimentologists Special Publication 15, 113-123.

Manzzochi, T., Walsh, J.J., Nell, P., and Yielding, G. (1999). Fault transmissibility multiplier for flow simulation models. Petroleum fGeoscience, 5, 53-63.

Naruk, S. J., and Handschy, J. W. (1997). Characterization and prediction of fault seal parameters: empirical data (abs.): AAPG Hedberg Research Conference on “Reservoir scale deformation: characterisation and prediction”, Bryce, Utah.

Sahoo, T. R., Tuser, R., Nayak, S., Sankar, S., Senapati, S., and Singh, Y. N. (2010). Fault seal analysis: a method to reduce uncertainty in hydrocarbon exploration, Case study: northern part of Cambay Basin. In 8th Biennial International Conference and Exposition on Petroleum Geophysics (1-9). India. DOI: 10.13140/2.1.2575.3285.

Sperrevik, S., Gillespie, P. A., Fisher, Q. J., Halvorsen, T., and Knipe, R. J. (2002). Empirical estimation of fault rock properties. In Norwegian Petroleum Society Special Publications (11, 109-125). Elsevier.

Yielding, G., Freeman, B., and Needham, D. T. (1997). Quantitative fault seal prediction. AAPG Bulletin, 81, 897-917.