
TY  - JOUR
A1  - Sidi, F. Hasan 
A1  - Ilahi, Ata 
A1  - Duncan, Guy 
T1  - Seismically Constrained Petrophysics in the Scarborough Area
JF  - ASEG Extended Abstracts
JO  - ASEG Extended Abstracts
Y1  - 2006
VL  - 2006
IS  - 1
SP  - 1
EP  - 5
KW  - 
UR  - https://doi.org/10.1071/ASEG2006AB161 
N2  - Integration of seismic data greatly reduces uncertainties in petrophysical well log interpretation. An iterative workflow of log conditioning, petrophysical interpretation, rock physics modelling and synthetic-to-seismic matching is applied to ensure the P-sonic and density logs represent the true in situ properties of the rocks. For example, in many cases it is difficult to estimate how much the P-sonic logs have been affected by washouts or mud filtrate invasions. The integration of the seismic data, which is not affected by drilling, can reduce the uncertainty in the scale of corrections to apply. Key to this integration is the development of consistent petrophysical interpretations and rock physics models. In this paper, we discuss how we arrived at a seismically constrained petrophysical interpretation in the Scarborough gas field in the Exmouth Sub Basin, offshore North West Australia. The logs of these relatively old wells were badly affected by deep invasion of the drilling fluids into the gas sand reservoirs. Conditioning of the well logs was essential to replace the poor quality data. The conditioned logs were used to create an initial rock physics model. Synthetic seismograms were then created using the conditioned logs from the rock physics modelling. Through iterating between petrophysics, rock physics and synthetic-to-seismic matching we arrived at the final interpretation that is consistent with all available subsurface data. The final synthetic-to-seismic matches for the wells were significantly improved. The integration of different subsurface data types through rock physics modelling significantly reduced the uncertainty in the reservoir properties of the Scarborough gas field. 
ER  -

