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Dear Marios, there is no tutorial yet, but it is highly needed. Actually a simple task for me, I will set up such a framework. |
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Fantastic Thomas.
Thanks a lot.
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Dear Marios, there is no tutorial yet, but it is highly needed. Actually a
simple task for me, I will set up such a framework.
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Revving this needed topic :) . Any tutorial on the horizon? |
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Yes, it is already there, just not yet on the website as we need to fix things for the upcoming versions. But you can look here: There is also a repository dedicated to timelapse ERT: https://github.com/gimli-org/timelapseERT |
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Thanks Thomas. I will "play" with it. |
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With the newest version v1.4.5 this is available "officially". |
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Hi,
I am searching on the bert tutorial, where you mention that
"From an inversion point of view, the most rigorous method is a full discretization in time and simultaneous inversion. This is done efficiently using block matrices but up to now available only in the Python managers"
I suppose this is the real 4D inversion as show by Kim paper. yet, i can't seem to find a tutorial how to do that. In my case, I have 50 .ohm files (one file per dataset). How would I use the time-lapse version?
Is there a tutorial you can point to me?
thanks in advance
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