A quantitative seismic interpretation (QSI) approach in assessing reservoir properties of a near-field exploration discovery is presented.
This approach demonstrates the integration of rock physics model and seismic inversion to determine the lateral extent of the reservoir complex, improve the understanding of geometry and connectivity of the reservoir sands encountered in this field; and improve confidence in estimates of the resource base.
An integrated interpretation approach that incorporates seismic and well log data sets, together with available relevant reports is adopted to reduce interpretation risk inherent with the study location. The hydrocarbon bearing reservoir sands were characterized, based on their elastic rock properties responses, to predict reservoir parameters for reservoir architectural delineation from seismic data volume. The results provide insight to address subsurface uncertainties associated with reservoir connectivity, and future infill well count determination for production optimization and possible reserves addition.
Number of Pages
Adekanle, A. and Enikanselu, P.A. (2013). Porosity Prediction from Seismic Inversion Properties Over ‘XLD’ field, Niger Delta. American journal of scientific and industrial research, 4 (1), 31-35.
Avesth, P., Mukerji, T. and Mavko, G. (2010). Quantitative Seismic Interpretation.Applying Rock Physics Tools to reduce Interpretation Risk. Cambridge University Press, Cambridge, UK.
Avesth, P., Mukerji, T. and Mavko, G. (2005). Quantitative Seismic Interpretation. Cambridge University Press, Cambridge, UK.
Frazer, B., Anders Bruum, Jose C.A., Anthony Cooke, Dennis Cooke, Darren Salter P., Robert G, Dominic Lowden, Steve H., Huseyin O., Stephen P., Francisco G.P., Stefano V., Andreas R., and Ron R. (2008). Seismic Inversion: Reading Between the Lines: Spring, 43 - 63.
Uwanchie, V., Adesun, J. and Avwunudiogba, A. (2016) Sensitivity Log Analysis of Rock Properties for Fluid & Lithology Discrimination: A Case Study of Gugu Field in the Niger Delta International Journal of Scientific & Engineering Research, Volume 7, Issue 10, October-2016 ISSN 2229-5518.
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