Exemplo n.º 1
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 def test_implicit_solve_reverse_boundary_conditions(self):
     
     
     self.inputs['boundary conditions'] = {
             'right': {
                 'type': 'prescribed pressure',
                 'value': 2000 #psi
             },
             'left': {
                 'type': 'prescribed flux',
                 'value': 0 #ft^3/day
             },
             'top': {
                 'type': 'prescribed flux',
                 'value': 0 #ft^3/day
             },
             'bottom': {
                 'type': 'prescribed flux',
                 'value': 0 #ft^3/day
             }
         }
     
     implicit = TwoPhaseFlow(self.inputs)
     implicit.solve()
     np.testing.assert_allclose(implicit.get_solution(), 
                                np.array([1015.9, 1051.5, 1184.8, 1582.9]), 
                                atol=0.5)
     return
Exemplo n.º 2
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    def test_implicit_solve(self):

        implicit = TwoPhaseFlow(self.inputs)
        implicit.solve()
        np.testing.assert_allclose(implicit.get_solution(),
                                   np.array([1582.9, 1184.8, 1051.5, 1015.9]),
                                   atol=0.5)
        return
Exemplo n.º 3
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 def test_implicit_solve_one_step(self):
     
     implicit = TwoPhaseFlow(self.inputs)
     implicit.solve_one_step()
     np.testing.assert_allclose(implicit.get_solution(), 
                                np.array([1295.1463, 1051.1036, 1008.8921, 1001.7998]), 
                                atol=0.5)
     return
Exemplo n.º 4
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    def test_implicit_heterogeneous_permeability_solve_one_step(self):

        self.inputs['reservoir']['permeability'] = [10., 100., 50., 20]

        implicit = TwoPhaseFlow(self.inputs)
        implicit.solve_one_step()
        np.testing.assert_allclose(implicit.get_solution(),
                                   np.array([1085.3, 1005.8, 1001.3, 1000.1]),
                                   atol=0.5)
        return
Exemplo n.º 5
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    def test_implicit_heterogeneous_permeability_and_grid_size_solve(self):

        self.inputs['reservoir']['permeability'] = [10., 100., 50., 20]
        self.inputs['numerical']['delta x'] = [2000., 3000., 1500., 3500]

        implicit = TwoPhaseFlow(self.inputs)
        implicit.solve()
        np.testing.assert_allclose(implicit.get_solution(),
                                   np.array([1295.6, 1039.1, 1019.9, 1002.5]),
                                   atol=0.5)
        return
Exemplo n.º 6
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    def test_mixed_method_solve_crank_nicolson(self):

        self.inputs['numerical']['solver'] = {'mixed method': {'theta': 0.5}}

        mixed = TwoPhaseFlow(self.inputs)

        mixed.solve()

        np.testing.assert_allclose(mixed.get_solution(),
                                   np.array([1642.0, 1196.5, 1043.8, 1009.1]),
                                   atol=0.5)
        return
Exemplo n.º 7
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    def test_explicit_solve(self):

        self.inputs['numerical']['solver'] = 'explicit'

        explicit = TwoPhaseFlow(self.inputs)

        explicit.solve()

        np.testing.assert_allclose(explicit.get_solution(),
                                   np.array([1689.8, 1222.3, 1032.4, 1000.0]),
                                   atol=0.5)
        return
Exemplo n.º 8
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    def test_mixed_method_solve_one_step_crank_nicolson(self):

        self.inputs['numerical']['solver'] = {'mixed method': {'theta': 0.5}}

        mixed = TwoPhaseFlow(self.inputs)

        mixed.solve_one_step()

        np.testing.assert_allclose(mixed.get_solution(),
                                   np.array([1370.4, 1037.8, 1003.8, 1000.4]),
                                   atol=0.5)
        return
Exemplo n.º 9
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    def test_mixed_method_solve_one_step_explicit(self):

        self.inputs['numerical']['solver'] = {'mixed method': {'theta': 1.0}}

        mixed_explicit = TwoPhaseFlow(self.inputs)

        mixed_explicit.solve_one_step()

        np.testing.assert_allclose(mixed_explicit.get_solution(),
                                   np.array([1506., 1000., 1000., 1000.004]),
                                   atol=0.5)
        return
Exemplo n.º 10
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    def test_explicit_solve_one_step(self):

        self.inputs['numerical']['solver'] = 'explicit'

        explicit = TwoPhaseFlow(self.inputs)

        explicit.solve_one_step()

        np.testing.assert_allclose(explicit.get_solution(),
                                   np.array([1506., 1000., 1000., 1000.004]),
                                   atol=0.5)
        return
Exemplo n.º 11
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    def test_mixed_method_solve_one_step_implicit(self):

        self.inputs['numerical']['solver'] = {'mixed method': {'theta': 0.0}}

        mixed_implicit = TwoPhaseFlow(self.inputs)

        mixed_implicit.solve_one_step()

        np.testing.assert_allclose(
            mixed_implicit.get_solution(),
            np.array([1295.1463, 1051.1036, 1008.8921, 1001.7998]),
            atol=0.5)
        return
Exemplo n.º 12
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    def test_implicit_solve_one_step_with_wells_2(self):

        self.inputs['wells'] = {
            'bhp': {
                'locations': [(9000, 9000)],
                'values': [800],
                'radii': [0.25],
            },
            'rate': {
                'locations': [(5000, 5000)],
                'values': [1000],
                'radii': [0.25],
            }
        }

        self.inputs['reservoir'] = {
            'permeability': 50,  #mD
            'porosity': 0.2,
            'length': 10000,  #ft
            'height': 10000,  #ft
            'depth': 20,  #ft
            'oil': {
                'residual saturation': 0.2,
                'corey-brooks exponent': 3.0,
                'max relative permeability': 0.0,
            },
            'water': {
                'critical saturation': 0.2,
                'corey-brooks exponent': 0.0,
                'max relative permeability': 1.0,
            }
        }

        self.inputs['numerical']['number of grids'] = {'x': 3, 'y': 3}

        self.inputs['boundary conditions']['left']['type'] = 'prescribed flux'
        self.inputs['boundary conditions']['left']['value'] = 0.0
        self.inputs['boundary conditions']['right'][
            'type'] = 'prescribed pressure'
        self.inputs['boundary conditions']['right']['value'] = 2000.0

        implicit = TwoPhaseFlow(self.inputs)
        implicit.solve_one_step()
        np.testing.assert_allclose(implicit.get_solution(),
                                   np.array([
                                       1003.1, 1024.1, 1201.8, 1004.2, 1037.0,
                                       1200.7, 1002.8, 1021.3, 1174.5
                                   ]),
                                   atol=0.5)
        return
Exemplo n.º 13
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 def test_implicit_solve_with_wells_1(self):
     
     
     self.inputs['wells'] = {
             'rate': {
                 'locations': [(0.0, 1.0)],
                 'values': [1000],
                 'radii': [0.25]
             },
             'bhp': {
                 'locations': [(6250.0, 1.0)],
                 'values': [800],
                 'radii': [0.25]
             }
         }
     
     self.inputs['reservoir'] = {
             'permeability': 50, #mD
             'porosity': 0.2,
             'length': 10000, #ft
             'height': 2500, #ft
             'depth': 80, #ft
             'oil': {
                 'residual saturation': 0.2,
                 'corey-brooks exponent': 3.0,
                 'max relative permeability': 0.0,
             },
             'water': {
                 'critical saturation': 0.2,
                 'corey-brooks exponent': 0.0,
                 'max relative permeability': 1.0,
             }
         }
     
     
     self.inputs['boundary conditions']['left']['type'] = 'prescribed flux'
     self.inputs['boundary conditions']['left']['value'] = 0.0
     self.inputs['boundary conditions']['right']['type'] = 'prescribed pressure'
     self.inputs['boundary conditions']['right']['value'] = 2000.0
     
     implicit = TwoPhaseFlow(self.inputs)
     implicit.solve()
     np.testing.assert_allclose(implicit.get_solution(), 
                                np.array([1028.9,  1031.6,  1096.7,  1563.7]),
                                atol=0.5)
     return