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A new method of determining interwell connectivity
by constraint multivariate linear regression using
multi-well test pressure data was developed.
Communication between injectors and producers in a
waterflood is represented by interwell connectivity
coefficients. The results can be used to detect
permeability barriers, permeability trends and
anisotropy properties.
A pseudo-steady state flow solution for a well in a
multi well system was used to model the interwell
connectivity test. The model was verified using
synthetic reservoir models. The total
reservoir porosity can be estimated. Application of
the technique to naturally fractured reservoir
represented by dual porosity system was also
presented with different cases of reservoir
heterogeneities. Results for reservoirs with the
presence of hydraulically fractured wells,
horizontal wells were also analyzed.
An analytical model was developed for the existing
technique to infer interwell connectivity using
production data. The model provides better
understanding of the technique and opens the door
for further developments concerning production data.
by constraint multivariate linear regression using
multi-well test pressure data was developed.
Communication between injectors and producers in a
waterflood is represented by interwell connectivity
coefficients. The results can be used to detect
permeability barriers, permeability trends and
anisotropy properties.
A pseudo-steady state flow solution for a well in a
multi well system was used to model the interwell
connectivity test. The model was verified using
synthetic reservoir models. The total
reservoir porosity can be estimated. Application of
the technique to naturally fractured reservoir
represented by dual porosity system was also
presented with different cases of reservoir
heterogeneities. Results for reservoirs with the
presence of hydraulically fractured wells,
horizontal wells were also analyzed.
An analytical model was developed for the existing
technique to infer interwell connectivity using
production data. The model provides better
understanding of the technique and opens the door
for further developments concerning production data.