Now the actual pressure and transport model classes are not specified,
but taken as template template parameters, also grid and well model
are templates for both the sequential model and the simulator class,
although at this point only StandardWells is expected to work with
the sequential model.
the performance summary at the end of a Norne run which are printed by
`flow_ebos` now looks like this on my machine:
```
Total time (seconds): 773.757
Solver time (seconds): 753.349
Assembly time (seconds): 377.218 (Failed: 23.537; 6.23965%)
Linear solve time (seconds): 352.022 (Failed: 23.2757; 6.61201%)
Update time (seconds): 16.3658 (Failed: 1.13149; 6.91375%)
Output write time (seconds): 22.5991
Overall Well Iterations: 870 (Failed: 35; 4.02299%)
Overall Linearizations: 2098 (Failed: 136; 6.48236%)
Overall Newton Iterations: 1756 (Failed: 136; 7.74487%)
Overall Linear Iterations: 26572 (Failed: 1786; 6.72136%)
```
for the flow_legacy family, nothing changes.
For cells with swat == 1 Ecl outputs; rs = rsSat and rv=rvSat, in all
but the initial step where it outputs rs and rv values calculated by the
initialization. To be compatible we overwrite rs and rv with the values
passed by the localState. Volume factors and densities needs to be
recalculated with the updated rs and rv values.
All simulators now use SimulationDataContainer to store intermediate data that
is passed to the output Solution container. This is in cases not the most
efficient way, but it's unified to avoid errors from code duplication.
this code mostly used the Eigen vectors as arrays anyway, so let's use
`std::vector`.
also, this patch only "mostly eliminates" Eigen from from these parts
of the code because the source files of the VFP code still use
AutoDiffBlock; Unfortunately this cannot easily be changed because
`flow_legacy` depends on these methods. (`flow_ebos` does not use the
incriminating methods.)
models may need a more detailed picture of where they are in the
simulation. Note that since the timer objects are available at every
call site, this is also not a very deep change.
This commit adds sequential solvers, including a simulator variant
using them (flow_sequential.cpp) with an integration test (running
SPE1, same as for fully implicit).
The sequential code is capable of running several (but not all) test
cases without tuning or special parameters, but reducing ds_max a bit
(from default 0.2 to say 0.1) helps with transport solver
convergence. The Norne model runs fine (esp. with a little tuning). A
parameter iterate_to_fully_implicit (defaults to false) is available,
when set the simulator will iterate with alternating pressure and
transport solves towards the fully implicit solution. Although that
takes a lot extra time it serves as a correctness check.
Performance is not competitive with fully implicit at this point:
essentially both the pressure and transport models inherit the fully
implicit model and do a lot of double (or triple) work. The point has
been to establish a proof of concept and baseline for further
experiments, without disturbing the base model too much (or at all, if
possible).
Changes to existing code has been minimized by merging most such
changes as smaller PRs already, the only remaining such change is to
NewtonIterationBlackoilInterleaved. Admittedly, that code (to solve
the pressure system with AMG) is not ideal because it duplicates
similar code in CPRPreconditioner.hpp and is not parallel. I propose
to address this later by refactoring the "solve elliptic system" code
from CPRPreconditioner into a separate class that can be used also
from here
