diff --git a/.gitignore b/.gitignore
index 3f0a56b7..28384cb6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -159,3 +159,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+*version.py
\ No newline at end of file
diff --git a/src/fmu/sumo/sim2sumo/_special_treatments.py b/src/fmu/sumo/sim2sumo/_special_treatments.py
index 290444ee..9d40f441 100644
--- a/src/fmu/sumo/sim2sumo/_special_treatments.py
+++ b/src/fmu/sumo/sim2sumo/_special_treatments.py
@@ -1,5 +1,120 @@
 """Special treatment of some options used in ecl2df"""
+from inspect import signature
+import importlib
+import logging
+from pathlib import Path
+import ecl2df
 from ecl2df.common import convert_lyrlist_to_zonemap, parse_lyrfile
+import pandas as pd
+import pyarrow as pa
+
+
+def convert_to_arrow(frame):
+    """Convert pd.DataFrame to arrow
+
+    Args:
+        frame (pd.DataFrame): the frame to convert
+
+    Returns:
+        pa.Table: the converted dataframe
+    """
+    logger = logging.getLogger(__file__ + ".convert_to_arrow")
+    logger.debug("!!!!Using convert to arrow!!!")
+    standard = {"DATE": pa.timestamp("ms")}
+    if "DATE" in frame.columns:
+        frame["DATE"] = pd.to_datetime(frame["DATE"], infer_datetime_format=True)
+    scheme = []
+    for column_name in frame.columns:
+        if pd.api.types.is_string_dtype(frame[column_name]):
+            scheme.append((column_name, pa.string()))
+        else:
+            scheme.append((column_name, standard.get(column_name, pa.float32())))
+    logger.debug(scheme)
+    table = pa.Table.from_pandas(frame, schema=pa.schema(scheme))
+    return table
+
+
+def find_arrow_convertor(path):
+    """Find function for converting pandas dataframe to arrow
+
+    Args:
+        path (str): path to where to look for function
+
+    Returns:
+        function: function for converting to arrow
+    """
+    logger = logging.getLogger(__file__ + ".find_arrow_convertor")
+    try:
+        func = importlib.import_module(path)._df2pyarrow
+    except AttributeError:
+        logger.info(
+            "No premade function for converting to arrow in %s",
+            path,
+        )
+        func = convert_to_arrow
+
+    return func
+
+
+def find_functions_and_docstring(submod):
+    """Find functions for extracting and converting from eclipse native
+
+    Args:
+        submod (str): path to where to look for function
+
+    Returns:
+        dictionary: includes functions and doc string
+    """
+    logger = logging.getLogger(__file__ + ".find_func_and_info")
+
+    import_path = "ecl2df." + submod
+    func = importlib.import_module(import_path).df
+    logger.debug("Assigning %s to %s", func.__name__, submod)
+    returns = {
+        "extract": func,
+        "options": tuple(
+            name
+            for name in signature(func).parameters.keys()
+            if name not in {"deck", "eclfiles"}
+        ),
+        "arrow_convertor": find_arrow_convertor(import_path),
+        "doc": func.__doc__,
+    }
+
+    return returns
+
+
+def _define_submodules():
+    """Fetch all submodules
+
+    Returns:
+        list: list of submodules
+    """
+
+    logger = logging.getLogger(__file__ + "define_submodules")
+    package_path = Path(ecl2df.__file__).parent
+
+    submodules = {}
+    submod_paths = list(package_path.glob("*.py"))
+    # vfp breakes the pattern
+    submod_paths.append("_vfp.py")
+    for submod_path in submod_paths:
+        try:
+            submod_string = str(submod_path.name.replace(".py", ""))
+            submod = submod_string
+        except AttributeError:
+            submod_string = "vfp._vfp"
+            submod = "vfp"
+        try:
+            submodules[submod] = find_functions_and_docstring(submod_string)
+            logger.debug("Assigning %s to %s", submodules[submod], submod)
+        except AttributeError:
+            logger.debug("No df function in %s", submod_path)
+
+    logger.debug("Returning the submodule names as a list: %s ", submodules.keys())
+    logger.debug("Returning the submodules extra args as a dictionary: %s ", submodules)
+
+    return tuple(submodules.keys()), submodules
 
 
 def convert_options(options):
@@ -16,3 +131,6 @@ def convert_options(options):
             parse_lyrfile(options["zonemap"])
         )
     return options
+
+
+SUBMODULES, SUBMOD_DICT = _define_submodules()
diff --git a/src/fmu/sumo/sim2sumo/sim2sumo.py b/src/fmu/sumo/sim2sumo/sim2sumo.py
index 1817b1e6..e3be5608 100644
--- a/src/fmu/sumo/sim2sumo/sim2sumo.py
+++ b/src/fmu/sumo/sim2sumo/sim2sumo.py
@@ -4,17 +4,14 @@
 from typing import Union
 from pathlib import Path
 import logging
-import importlib
 import argparse
-from inspect import signature
 import pandas as pd
 import ecl2df as sim2df
-import ecl2df
 import pyarrow as pa
 import yaml
 from fmu.dataio import ExportData
 from fmu.sumo.uploader.scripts.sumo_upload import sumo_upload_main
-from ._special_treatments import convert_options
+from ._special_treatments import SUBMODULES, SUBMOD_DICT, convert_options
 
 
 def yaml_load(file_name):
@@ -36,52 +33,6 @@ def yaml_load(file_name):
     return config
 
 
-def _define_submodules():
-    """Fetch all submodules
-
-    Returns:
-        list: list of submodules
-    """
-
-    logger = logging.getLogger(__file__ + "define_submodules")
-    package_path = Path(ecl2df.__file__).parent
-
-    submodules = {}
-    for submod_path in package_path.glob("*.py"):
-        submod = str(submod_path.name.replace(".py", ""))
-        try:
-            func = importlib.import_module("ecl2df." + submod).df
-        except AttributeError:
-            logger.debug("No df function in %s", submod_path)
-            continue
-        submodules[submod] = {"extract": func}
-        submodules[submod]["options"] = tuple(
-            name
-            for name in signature(func).parameters.keys()
-            if name not in {"deck", "eclfiles"}
-        )
-        submodules[submod]["doc"] = func.__doc__
-        try:
-            submodules[submod]["arrow_convertor"] = importlib.import_module(
-                "ecl2df." + submod
-            )._df2pyarrow
-        except AttributeError:
-            logger.info(
-                "No premade function for converting to arrow in %s",
-                submod_path,
-            )
-
-        logger.debug("Assigning %s to %s", submodules[submod], submod)
-
-    logger.debug("Returning the submodule names as a list: %s ", submodules.keys())
-    logger.debug("Returning the submodules extra args as a dictionary: %s ", submodules)
-
-    return tuple(submodules.keys()), submodules
-
-
-SUBMODULES, SUBMOD_DICT = _define_submodules()
-
-
 def give_name(datafile_path: str) -> str:
     """Return name to assign in metadata
 
@@ -98,31 +49,6 @@ def give_name(datafile_path: str) -> str:
     return base_name
 
 
-def convert_to_arrow(frame):
-    """Convert pd.DataFrame to arrow
-
-    Args:
-        frame (pd.DataFrame): the frame to convert
-
-    Returns:
-        pa.Table: the converted dataframe
-    """
-    logger = logging.getLogger(__file__ + ".convert_to_arrow")
-    logger.debug("!!!!Using convert to arrow!!!")
-    standard = {"DATE": pa.timestamp("ms")}
-    if "DATE" in frame.columns:
-        frame["DATE"] = pd.to_datetime(frame["DATE"], infer_datetime_format=True)
-    scheme = []
-    for column_name in frame.columns:
-        if pd.api.types.is_string_dtype(frame[column_name]):
-            scheme.append((column_name, pa.string()))
-        else:
-            scheme.append((column_name, standard.get(column_name, pa.float32())))
-    logger.debug(scheme)
-    table = pa.Table.from_pandas(frame, schema=pa.schema(scheme))
-    return table
-
-
 def get_results(
     datafile_path: str, submod: str, print_help=False, **kwargs
 ) -> Union[pa.Table, pd.DataFrame]:
@@ -159,16 +85,13 @@ def get_results(
             if arrow:
                 try:
                     output = SUBMOD_DICT[submod]["arrow_convertor"](output)
-                except KeyError:
-                    logger.debug("No arrow convertor defined for %s", submod)
-                    try:
-                        output = convert_to_arrow(output)
-                    except pa.lib.ArrowInvalid:
-                        logger.warning(
-                            "Arrow invalid, cannot convert to arrow, keeping pandas format"
-                        )
-                    except TypeError:
-                        logger.warning("Type error, cannot convert to arrow")
+
+                except pa.lib.ArrowInvalid:
+                    logger.warning(
+                        "Arrow invalid, cannot convert to arrow, keeping pandas format"
+                    )
+                except TypeError:
+                    logger.warning("Type error, cannot convert to arrow")
         except RuntimeError:
             print(give_help(None))
         except TypeError:
@@ -221,7 +144,14 @@ def export_results(
     logger = logging.getLogger(__file__ + ".export_results")
     logger.debug("Export will be using these options: %s", kwargs)
     frame = get_results(datafile_path, submod, **kwargs)
-    allowed_contents = {"summary": "timeseries"}
+    submod_contents = {
+        "summary": "timeseries",
+        "satfunc": "relperm",
+        "vfp": "lift_curves",
+    }
+    submod_contents.update(
+        {name: name for name in ["rft", "pvt", "transmissibilities"]}
+    )
     if frame is not None:
         logger.debug("Reading global variables from %s", config_file)
         cfg = yaml_load(config_file)
@@ -229,7 +159,7 @@ def export_results(
             config=cfg,
             name=give_name(datafile_path),
             tagname=submod,
-            content=allowed_contents.get(submod, "property")
+            content=submod_contents.get(submod, "property"),
         )
         exp_path = exp.export(frame)
     else:
diff --git a/tests/test_functions.py b/tests/test_functions.py
index e7da5eaa..3e47e56d 100644
--- a/tests/test_functions.py
+++ b/tests/test_functions.py
@@ -7,9 +7,8 @@
 import pandas as pd
 import pyarrow as pa
 import pytest
-from sumo.wrapper import SumoClient
 from fmu.sumo.sim2sumo import sim2sumo
-from fmu.sumo.uploader import CaseOnDisk, SumoConnection
+from fmu.sumo.sim2sumo._special_treatments import _define_submodules, convert_to_arrow
 
 
 REEK_ROOT = Path(__file__).parent / "data/reek"
@@ -30,7 +29,8 @@
 
 def test_submodules_dict():
     """Test generation of submodule list"""
-    sublist, submods = sim2sumo._define_submodules()
+    sublist, submods = _define_submodules()
+    print(sublist, submods)
     LOGGER.info(submods)
     assert isinstance(sublist, tuple)
     assert isinstance(submods, dict)
@@ -68,7 +68,10 @@ def test_get_results(submod):
         frame, pa.Table
     ), f"Call for get_dataframe with arrow=True should produce pa.Table, but produces {type(frame)}"
     if submod == "summary":
-        assert frame.schema.field("FOPT").metadata is not None, "Metdata not carried across for summary"
+        assert (
+            frame.schema.field("FOPT").metadata is not None
+        ), "Metdata not carried across for summary"
+
 
 @pytest.mark.parametrize(
     "submod",
@@ -123,7 +126,7 @@ def test_export_results_w_options(tmp_path, submod="summary"):
 CHECK_DICT = {
     "global_variables_w_eclpath.yml": {
         "nrdatafile": 1,
-        "nrsubmods": 16,
+        "nrsubmods": 17,
         "nroptions": 1,
         "arrow": True,
     },
@@ -255,7 +258,7 @@ def test_convert_to_arrow():
     )
     dframe["DATE"] = dframe["DATE"].astype("datetime64[ms]")
     print(dframe.dtypes)
-    table = sim2sumo.convert_to_arrow(dframe)
+    table = convert_to_arrow(dframe)
     assert isinstance(table, pa.Table), "Did not convert to table"