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I am currently working on the use of frequency data for electrical IP inversion. I would like to perform a complex-valued inversion.
If I understood properly BERT is build to work with phase and amplitude data at a given frequency. My question would be : would it be easier to perform a complex inversion with BERT or is it possible with pygimli or pybert tools ? Is the assumption made for complex inversion on BERT valid even if the phase is not perfeclty constant ?
Thank you for your assistance
Best regards
CARRIER Aurore
The text was updated successfully, but these errors were encountered:
If you want to do a single-frequency DC/IP inversion (in both FD or TD), you are fine with pyGIMLi, using the ERTIPManager in the ERT module. Only if you want to do analysis of multi-frequency FDIP or TDIP data (involving spectral constraints), you should work with pyBERT instead.
Hello,
I am currently working on the use of frequency data for electrical IP inversion. I would like to perform a complex-valued inversion.
If I understood properly BERT is build to work with phase and amplitude data at a given frequency. My question would be : would it be easier to perform a complex inversion with BERT or is it possible with pygimli or pybert tools ? Is the assumption made for complex inversion on BERT valid even if the phase is not perfeclty constant ?
Thank you for your assistance
Best regards
CARRIER Aurore
The text was updated successfully, but these errors were encountered: