Wouter J. de Bruin
Wouter J. de Bruin
#58 was previous work on this issue.
Seems like a good idea. Looking at https://github.com/equinor/flownet/blob/6eb0fd57d1a328567a46b68b0afdf17aa6117f56/src/flownet/parameters/_porv_poro_trans.py#L124-L132 suggests that the `PERM` is not rendered there, but it actually is.
After some discussions here. The zeros will not have an impact. But the large number of observations might lead to ensemble collapse. The resampling as used before might solve this....
Just came a release message for ERT 2.15 where the `STD_SCALE_CORRELATED_OBS` _workflow_ is said to be deprecated and that it is recommended to use the `MISFIT_PREPOCESSOR` instead, see https://fmu-docs.equinor.com/docs/ert/reference/workflow_jobs.html?highlight=misfit_preprocessor. The...
Due to the large number of observations the new ERT storage doesn't work very well either. This issue therefore has an impact on #265
@edubarrosTNO Will look at resampling options for the obs file creation.
ConfigSuite is a bit dormant at the moment. A decision will be made before the end of the year on whether ConfigSuite is going to be developed further, or that...
> I think Delauney should be called with qhull_option='QJ Pp' inside the mitchells best candidate algorithm. That will joggle the input points slightly so you get to 3D. That could...
@tayloris How did you solve this issue in the end?
Are we now talking about minimal changes? If we would simply add a minimal random depth differences (centimetres) to wells with the exact same depth, would that solve the problem?...