Merge pull request #154 from daavid00/dev

Updating the README.md and typos

Author: daavid00

README.md

@@ -42,7 +42,7 @@ pip install -e .
 pip install -r dev-requirements.txt
 ```
 
-To generate only the input files (e.g., .DATA, .GRID, .INC), this does not required to have OPM Flow installed, and in principle should work in Windows without using the subsystem for Linux. Then, one could always generate a deck with the grid and all include files, and modify them in order to use other simulators different than OPM Flow.
+To generate only the input files (e.g., .DATA, .GRID, .INC), this does not required to have OPM Flow installed, and works in Windows without using the subsystem for Linux (see [_ci_pyopmspe11_windows.yml_](https://github.com/OPM/pyopmspe11/actions/workflows/ci_pyopmspe11_windows.yml)). Then, one could always generate a deck with the grid and all include files, and modify them in order to use other simulators different than OPM Flow.
 
 If you are insterested in running the cases via ***pyopmspe11*** and generating the CSV files with the benchmark format, then you will first need to install
 * Flow (https://opm-project.org, Release 2026.04 or current master branches)

docs/_sources/examples.rst.txt

@@ -40,7 +40,7 @@ Then, we run the simulations:
     pyopmspe11 -i convective.toml -o convective -m deck_flow_data -w 1
 
 Here we have just set the framework to generate the deck, run the simulations, and generate the performance and sparse data (default value for **-g**).
-Then, to visualize the comparison between both runs, this can be achived by executing:
+Then, to visualize the comparison between both runs, this can be achieved by executing:
 
 .. code-block:: bash
 
@@ -68,7 +68,7 @@ This example uses a very coarser grid to run fast. See the :doc:`benchmark <./be
 ===========================
 Cp grids (11 and 18 levels)
 ===========================
-In a `recent paper <https://link.springer.com/article/10.1007/s11242-025-02275-0>`_ to history match the FluidFlower data using the laboratory images, a more regular coner-point grid
+In a `recent paper <https://link.springer.com/article/10.1007/s11242-025-02275-0>`_ to history match the FluidFlower data using the laboratory images, a more regular corner-point grid
 was used consisting in 11 levels instead of 18 as the submitted results for the SPE11 benchmark. Then, the corner-point grid from that paper has been included in the
 **pyopmspe11** tool. To use this corner-point grid, then one needs to give an array of size 11 for the variable "z_n" in the toml files. For example, in the
 `spe11b.toml <https://github.com/OPM/pyopmspe11/blob/main/examples/spe11b.toml>`_ in the examples folder, setting z_n to [2, 2, 2, 3, 2, 2, 8, 4, 8, 8, 1] and

docs/examples.html

@@ -119,7 +119,7 @@ <h2>Hello world<a class="headerlink" href="#hello-world" title="Link to this hea
 </pre></div>
 </div>
 <p>Here we have just set the framework to generate the deck, run the simulations, and generate the performance and sparse data (default value for <strong>-g</strong>).
-Then, to visualize the comparison between both runs, this can be achived by executing:</p>
+Then, to visualize the comparison between both runs, this can be achieved by executing:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pyopmspe11<span class="w"> </span>-c<span class="w"> </span>spe11b
 </pre></div>
 </div>
@@ -146,7 +146,7 @@ <h2>Hello world<a class="headerlink" href="#hello-world" title="Link to this hea
 </section>
 <section id="cp-grids-11-and-18-levels">
 <h2>Cp grids (11 and 18 levels)<a class="headerlink" href="#cp-grids-11-and-18-levels" title="Link to this heading"></a></h2>
-<p>In a <a class="reference external" href="https://link.springer.com/article/10.1007/s11242-025-02275-0">recent paper</a> to history match the FluidFlower data using the laboratory images, a more regular coner-point grid
+<p>In a <a class="reference external" href="https://link.springer.com/article/10.1007/s11242-025-02275-0">recent paper</a> to history match the FluidFlower data using the laboratory images, a more regular corner-point grid
 was used consisting in 11 levels instead of 18 as the submitted results for the SPE11 benchmark. Then, the corner-point grid from that paper has been included in the
 <strong>pyopmspe11</strong> tool. To use this corner-point grid, then one needs to give an array of size 11 for the variable “z_n” in the toml files. For example, in the
 <a class="reference external" href="https://github.com/OPM/pyopmspe11/blob/main/examples/spe11b.toml">spe11b.toml</a> in the examples folder, setting z_n to [2, 2, 2, 3, 2, 2, 8, 4, 8, 8, 1] and

docs/text/examples.rst

@@ -40,7 +40,7 @@ Then, we run the simulations:
     pyopmspe11 -i convective.toml -o convective -m deck_flow_data -w 1
 
 Here we have just set the framework to generate the deck, run the simulations, and generate the performance and sparse data (default value for **-g**).
-Then, to visualize the comparison between both runs, this can be achived by executing:
+Then, to visualize the comparison between both runs, this can be achieved by executing:
 
 .. code-block:: bash
 
@@ -68,7 +68,7 @@ This example uses a very coarser grid to run fast. See the :doc:`benchmark <./be
 ===========================
 Cp grids (11 and 18 levels)
 ===========================
-In a `recent paper <https://link.springer.com/article/10.1007/s11242-025-02275-0>`_ to history match the FluidFlower data using the laboratory images, a more regular coner-point grid
+In a `recent paper <https://link.springer.com/article/10.1007/s11242-025-02275-0>`_ to history match the FluidFlower data using the laboratory images, a more regular corner-point grid
 was used consisting in 11 levels instead of 18 as the submitted results for the SPE11 benchmark. Then, the corner-point grid from that paper has been included in the
 **pyopmspe11** tool. To use this corner-point grid, then one needs to give an array of size 11 for the variable "z_n" in the toml files. For example, in the
 `spe11b.toml <https://github.com/OPM/pyopmspe11/blob/main/examples/spe11b.toml>`_ in the examples folder, setting z_n to [2, 2, 2, 3, 2, 2, 8, 4, 8, 8, 1] and

src/pyopmspe11/core/pyopmspe11.py

@@ -90,7 +90,7 @@ def load_parser(argv: list[str] | None) -> dict:
             "all",
         ],
         default="deck_flow",
-        help="Parts of pyopmsoe11 to run",
+        help="Parts of pyopmspe11 to run",
     )
     parser.add_argument(
         "-c",