SPE10#

By downloading the SPE10_MODEL2 model, then:

pycopm -i SPE10_MODEL2.DATA -s pvmean -c 4,8,2 -m all

generates a coarsened model from ca. 1 million cells to ca. 20 thousands cells.

../_images/spe10_model2_coarser.png — Porosity values for the (left) original and (right) coarsened SPE10 model.#

To generate a submodel from the coarsened model around the injector 'INJ', this can be achieved by executing:

pycopm -i SPE10_MODEL2_PYCOPM.DATA -p 1 -v 'INJ diamondxy 5' -m all -w vicinity -l sub -m all

../_images/vicinity.png

../_images/spe10_plopm.png — Pore volume values for the coarsened and vicinity around the well INJ in the SPE10 model (top figures using ResInsight and bottom figures using plopm (running pycopm with the flag -p 0 instead of -p 1), see/run docs_via_deck_spe10.sh).#