Save configuration information in base_run_model

[oyvindeide]

The settings used for updates, scaling factors, etc. should be persisted when we run an experiment.

[dafeda]

Could these be added to for example the dict simulation_arguments?

https://github.com/equinor/ert/blob/431aea8f40fd65a233f63842806be554aa048542/src/ert/shared/models/base_run_model.py#L62

[pinkwah]

Write this data to disk in a HDF5 file inside of storage.

[oyvindeide]

Should also include type of experiment, number of iterations, etc.