diff --git a/tests/everest/test_cvar.py b/tests/everest/test_cvar.py
index b4e70dfb7e6..414de3102ff 100644
--- a/tests/everest/test_cvar.py
+++ b/tests/everest/test_cvar.py
@@ -2,7 +2,6 @@
 
 from ert.run_models.everest_run_model import EverestRunModel
 from everest.config import (
-    ControlConfig,
     CVaRConfig,
     EverestConfig,
     ModelConfig,
@@ -16,17 +15,6 @@ def test_mathfunc_cvar(
 ):
     # Arrange
     config = EverestConfig.load_file("config_minimal.yml")
-    config.controls = [
-        ControlConfig(
-            name="point",
-            type="generic_control",
-            min=-2.0,
-            max=2.0,
-            initial_guess=0.0,
-            perturbation_magnitude=0.01,
-            variables=[{"name": "x"}, {"name": "y"}, {"name": "z"}],
-        )
-    ]
     config.optimization = OptimizationConfig(
         backend="scipy",
         algorithm="slsqp",
diff --git a/tests/everest/test_math_func.py b/tests/everest/test_math_func.py
index cd903b6ce25..4a18ff2f792 100644
--- a/tests/everest/test_math_func.py
+++ b/tests/everest/test_math_func.py
@@ -15,7 +15,6 @@
 
 CONFIG_FILE_MULTIOBJ = "config_multiobj.yml"
 CONFIG_FILE_ADVANCED = "config_advanced.yml"
-CONFIG_FILE_REMOVE_RUN_PATH = "config_remove_run_path.yml"
 
 
 @pytest.mark.integration_test
@@ -186,7 +185,6 @@ def test_math_func_advanced(
 def test_remove_run_path(
     copy_math_func_test_data_to_tmp, evaluator_server_config_generator
 ):
-    # config = EverestConfig.load_file(CONFIG_FILE_REMOVE_RUN_PATH)
     with open("config_minimal.yml", encoding="utf-8") as file:
         config_yaml = yaml.safe_load(file)
         config_yaml["simulator"] = {"delete_run_path": True}
@@ -248,12 +246,13 @@ def test_math_func_auto_scaled_controls(
     config = EverestConfig.load_file("config_minimal.yml")
     config.controls[0].auto_scale = True
     config.controls[0].scaled_range = [0.3, 0.7]
-    config.controls[0].initial_guess = 0.2
     config.input_constraints = [
         InputConstraintConfig(weights={"point.x": 1.0, "point.y": 1.0}, upper_bound=0.5)
     ]
-    config.optimization.max_batch_num = 10
     config.forward_model[0] += " --scaling -1 1 0.3 0.7"
+    # Convergence is slower that's why more batches and start closer to final solution?
+    config.controls[0].initial_guess = 0.2
+    config.optimization.max_batch_num = 10
 
     # Act
     run_model = EverestRunModel.create(config)