diff --git a/src/ert/dark_storage/common.py b/src/ert/dark_storage/common.py
index 331d750aba2..86a1244e730 100644
--- a/src/ert/dark_storage/common.py
+++ b/src/ert/dark_storage/common.py
@@ -33,10 +33,6 @@ def data_for_key(
     """Returns a pandas DataFrame with the datapoints for a given key for a
     given case. The row index is the realization number, and the columns are an
     index over the indexes/dates"""
-
-    if key.split(":")[0][-1] == "H":
-        return res.history_data(key, ensemble).T
-
     if key.startswith("LOG10_"):
         key = key[6:]
     if key in ensemble.get_summary_keyset():
diff --git a/src/ert/libres_facade.py b/src/ert/libres_facade.py
index 543a44c8823..34e1ee2f181 100644
--- a/src/ert/libres_facade.py
+++ b/src/ert/libres_facade.py
@@ -8,7 +8,7 @@
 import numpy as np
 import pandas as pd
 from deprecation import deprecated
-from pandas import DataFrame, Series
+from pandas import DataFrame
 from resdata.grid import Grid
 
 from ert.analysis import AnalysisEvent, SmootherSnapshot, smoother_update
@@ -410,43 +410,6 @@ def load_all_misfit_data(self, ensemble: EnsembleReader) -> DataFrame:
 
         return misfit
 
-    def refcase_data(self, key: str) -> DataFrame:
-        refcase = self.config.ensemble_config.refcase
-
-        if refcase is None or key not in refcase:
-            return DataFrame()
-
-        values = refcase.numpy_vector(key, report_only=False)
-        dates = refcase.numpy_dates
-
-        data = DataFrame(zip(dates, values), columns=["Date", key])
-        data.set_index("Date", inplace=True)
-
-        return data.iloc[1:]
-
-    def history_data(
-        self, key: str, ensemble: Optional[EnsembleReader] = None
-    ) -> Union[DataFrame, Series]:
-        if ensemble is None:
-            return self.refcase_data(key)
-
-        if key not in ensemble.get_summary_keyset():
-            return DataFrame()
-
-        data = self.load_all_summary_data(ensemble, [key])
-        if data.empty:
-            return self.refcase_data(key)
-        idx = data.index.duplicated()
-        if idx.any():
-            data = data[~idx]
-            _logger.warning(
-                "The simulation data contains duplicate "
-                "timestamps. A possible explanation is that your "
-                "simulation timestep is less than a second."
-            )
-        data = data.unstack(level="Realization")
-        return data
-
     def get_summary_keys(self) -> List[str]:
         return self.config.ensemble_config.get_summary_keys()
 
diff --git a/tests/unit_tests/test_libres_facade.py b/tests/unit_tests/test_libres_facade.py
index 8aaeda27cc6..ddcf8857ae3 100644
--- a/tests/unit_tests/test_libres_facade.py
+++ b/tests/unit_tests/test_libres_facade.py
@@ -156,38 +156,6 @@ def test_observation_keys_missing_key(facade):
     assert [] == obs_keys
 
 
-def test_case_refcase_data(facade):
-    data = facade.refcase_data("FOPR")
-    assert isinstance(data, PandasObject)
-
-
-def test_case_refcase_data_missing_key(facade):
-    data = facade.refcase_data("nokey")
-    assert isinstance(data, PandasObject)
-
-
-def test_case_history_data(facade):
-    data = facade.history_data("FOPRH")
-    assert isinstance(data, PandasObject)
-
-    print(f"{facade.enspath=}")
-    with open_storage(facade.enspath, mode="w") as storage:
-        experiment_id = storage.create_experiment()
-        ensemble = storage.create_ensemble(
-            experiment_id, name="empty", ensemble_size=facade.get_ensemble_size()
-        )
-        data = facade.history_data("FOPRH", ensemble=ensemble)
-        assert isinstance(data, PandasObject)
-
-    data = facade.history_data("WOPRH:OP1")
-    assert isinstance(data, PandasObject)
-
-
-def test_case_history_data_missing_key(facade):
-    data = facade.history_data("nokey")
-    assert isinstance(data, PandasObject)
-
-
 def test_summary_data_verify_indices_and_values(
     caplog, snake_oil_case_storage, snake_oil_default_storage, snapshot
 ):