Reservoir Fluid Determination from Angle Stacked Seismic Volumes in 'Jay' Field, Niger Delta, Nigeria
The study was carried out to investigate the dissimilar seismic amplitude responses observed in sandstone reservoirs with the same fluid saturation. This challenge now informed the analysis of different amplitude responses from the 'Jay' Field in order to verify the reservoirs fluids aroun...
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Veröffentlicht in: | Journal of Applied Sciences and Environmental Management 2018-05, Vol.22 (4), p.453 |
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Sprache: | eng |
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Zusammenfassung: | The study was carried out to investigate the dissimilar seismic
amplitude responses observed in sandstone reservoirs with the same
fluid saturation. This challenge now informed the analysis of different
amplitude responses from the 'Jay' Field in order to verify
the reservoirs fluids around and away from well location based on the
integration of Amplitude Variation with Angle (AVA) and seismic
inversions. The well log data provided were used to identify
hydrocarbon bearing zones and Poisson Ratio analysis. Anomalies from
the AVA analysis were investigated using the elastic impedance
inversion of the near and far volumes. Crossplots of Lambda-Mu-Rho
inversion were produced to relate reservoir incompressibility and
rigidity modulus for lithology and fluid determination. Sand E
exhibited amplitude increase with angles at well point and also away
from well location (red triangle). The approximate elastic impedances
of the inverted seismics are almost similar to the log estimates, an
indication of good correlation. Integration of incompressibility
(Lambda-Rho) and rigidity (Mu-Rho) modulus analyses reveals the
presence of gas saturation in reservoir Sand G because low Lambda-Rho
coincides with high Mu-Rho from both log estimates and inverted
seismics. In the case of Sand D, high Lambda-Rho coincides with high
Mu-Rho because it is oil saturated. This study has helped to
differentiate the fluids in Sands D and G despite having similar AVA
responses. The methods adopted in this work can be useful in
hydrocarbon detection from seismic data in fields with similar
geological setting. |
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ISSN: | 1119-8362 2659-1502 2659-1499 |
DOI: | 10.4314/jasem.v22i4.2 |