The empirical threshold can then be used to assess prospects and plays and well as develop fields. This is achieved through conventional prediction of the fault zone composition using the shale gouge ratio (sgr) algorithm (yielding et al., 1997), based on available subsurface mapping and petrophysical data. There are several ways of displaying sgr data that are automatically produced by our seals software Based on this theory, the configuration relationship between the clay content and burial depth of fault rock (sgr&h) threshold evaluation method for the lateral sealing of faults was established. Given certain information about a fault cutting a reservoir sequence, it is desirable to predict the likely sealing behavior of each part of the fault system. Faults commonly trap and impact the flow of uids such as hydrocarbons and water over a range of fl timescales and therefore are of economic signicance.
The fault seal analysis results from this fault and fault 1 suggest that (1) sgr values below or close to ca 15% correspond to no seal, and (2) sgr values above ca Values are generally more than 30% So, sgr suggests overall sealing behavior of the fault.
WATCH
