Cyclic 1D matching of time-lapse seismic data sets: A case study of the Norne Field

Conclusions

Time-lapse seismic data sets can be efficiently cross-equalized by cyclic 1D matching methods. The cyclic 1D shifting and optimized match-filtering methods form an efficient and robust cross-equalization scheme. From the case study, it is apparent that in order to obtain accurate estimates of reservoir property changes, all displacement components must be taken into account. Where estimated parameters are important for decision making, considering only vertical displacements may result in serious undesirable consequences. Future work will consider ways to fully integrate all displacement components in time-lapse seismic imaging.