Finally, a 3D GSR model is estimated from 3D post-stack seismic data of the South Pars gas field, by using a probabilistic neural network model. Intervals with low GSR values and low gamma ray log responses indicate the presence of good reservoir units. These can cause washouts, casing collapse and other related drilling problems. Very low GSR values, with high gamma ray log responses, indicate the shaly intervals.
Discrimination between reservoir and non-reservoir shaly units would easily be obtained by comparing GSR and well logs. The GSR results are in good agreement with porosity and elastic moduli of these carbonate rocks. The region investigated is the South Pars gas field where the Permo-Triassic Dalan and Kangan reservoirs host the largest accumulations of gas in the world. In this study, GSR is calculated from petrophysical data using the equations developed in clastic rocks.
In comparison, the higher values of GSR are associated with intact rocks with few defects in the form of fractures and discontinuities and low porosity. It provides ratings from 10 to 100 where the lower values correspond to rocks such as, shales which are weak from a borehole stability point of view and also the porous, permeable reservoir rocks. The Geophysical Strata Rating (GSR), which is introduced in this study for carbonate reservoirs, is an empirical strength rating of rocks.