Using Shale Gouge Ratio (SGR) to Predict Fault
Seal Competency:
From Example from Haraz-Canar Field, Muglad Basin, Sudan
Amar A. Ahmed and Yasir M. Ghorashi
Exploration Dept., GNPOC, Khartoum, Sudan
Most of the traps in the area of study are tilted fault
blocks with high dependency on the lateral seal across the bounding
fault
. Lateral seal is provided by the lacustrine shaly deposits of the Aradeiba formation.
Fault
seal analysis as applied to oil exploration has been implemented as a tool to quantify the trap risk of
fault
bounded structures. This
fault
-seal study is performed using the Shale Gouge Ratio (SGR) as a predictive algorithm for sealing capacity of the
fault
rock. Shale Gouge Ratio, (SGR), is an estimate of the proportion of shaly material in the
fault
zone. The basic assumption in the SGR algorithm is that the
fault
zone composition is governed by the bulk composition of the wall rocks that have slipped past that point on the
fault
. Estimating
fault
zone composition and thus its seal competency depends upon the geologic input to the model, in particular, volumetric shale fraction (V-shale) derived from the gamma-ray log, to be tied to seismic horizon data, and the precision of the three dimensional mapping of reservoir geometry in the vicinity of the
fault
. The shale gouge ratio, along Haraz-Canar area faults, seems to depend on Aradeiba shale thickness and amount of displacement along the
fault
plane. The study suggested that an SGR value between 20 and 30% represented a threshold value between non-sealing and sealing faults, in an appraisal context. The calculated
fault
properties were found compatible when calibrated with several examples of good and failed seal.
Presentation GEO India Expo XXI, Noida, New Delhi, India 2008©AAPG Search and Discovery