Time-lapse inversion in RES2DINV – Using T0 baseline model as initial model for T+1 inversion?

Hello everyone,

I would like to perform a time-lapse data inversion using the double difference method described by Bretaudeau et al. 2021 (https://doi.org/10.1093/gji/ggab172) with RES2DINV.

To do this, I would like to import the resistivity model from the T0 (baseline) data inversion as the initial model for the T+1 data inversion. Is this possible with RES2DINV? If so, how?

Thank you in advance.

Angélie.

Answers

  • Hi Angélie

    Unfortunately, it is not possible in RES2DINV to import the inversion result from the baseline survey (T0) as the starting model for the inversion of a later time step (T+1).

    However, it is worth noting that the time-lapse inversion in RES2DINV already links the datasets together by default. The inversion is therefore not performed completely independently for each time step. Instead, the time-lapse algorithm is designed to highlight changes relative to the baseline model while maintaining consistency between the models.

    Depending on your specific objective, it may be possible to achieve a similar effect by using fixed regions or other model constraints, although this would not be equivalent to directly using the T0 inversion result as the starting model for T+1, and to be honest we are not sure how well it will actually work.