Loading docs/usage/portfoliorun_analysis.md +94 −94 Original line number Diff line number Diff line Loading @@ -57,7 +57,7 @@ directory of the repository. # Select locations of interest from the reservoir properties and simulate doublet performance portfolio_coords = [(125e3, 525e3), (100e3, 525e3), (110e3, 525e3), (125e3, 515e3), (125e3, 520e3)] # Collect selected locations, create a new Dataset with coordinate location # Collect selected locations, create a new Dataset with the coordinate 'location' locations = [] for i, (x, y) in enumerate(portfolio_coords): point = reservoir_properties.sel(x=x, y=y, method="nearest") Loading tests/test_doc_examples.py +1 −1 Original line number Diff line number Diff line Loading @@ -184,7 +184,7 @@ def test_example_6(): # Select locations of interest from the reservoir properties and simulate doublet performance portfolio_coords = [(125e3, 525e3), (100e3, 525e3), (110e3, 525e3), (125e3, 515e3), (125e3, 520e3)] # Collect selected locations, create a new Dataset with coordinate location # Collect selected locations, create a new Dataset with the coordinate 'location' locations = [] for i, (x, y) in enumerate(portfolio_coords): point = reservoir_properties.sel(x=x, y=y, method="nearest") Loading Loading
docs/usage/portfoliorun_analysis.md +94 −94 Original line number Diff line number Diff line Loading @@ -57,7 +57,7 @@ directory of the repository. # Select locations of interest from the reservoir properties and simulate doublet performance portfolio_coords = [(125e3, 525e3), (100e3, 525e3), (110e3, 525e3), (125e3, 515e3), (125e3, 520e3)] # Collect selected locations, create a new Dataset with coordinate location # Collect selected locations, create a new Dataset with the coordinate 'location' locations = [] for i, (x, y) in enumerate(portfolio_coords): point = reservoir_properties.sel(x=x, y=y, method="nearest") Loading
tests/test_doc_examples.py +1 −1 Original line number Diff line number Diff line Loading @@ -184,7 +184,7 @@ def test_example_6(): # Select locations of interest from the reservoir properties and simulate doublet performance portfolio_coords = [(125e3, 525e3), (100e3, 525e3), (110e3, 525e3), (125e3, 515e3), (125e3, 520e3)] # Collect selected locations, create a new Dataset with coordinate location # Collect selected locations, create a new Dataset with the coordinate 'location' locations = [] for i, (x, y) in enumerate(portfolio_coords): point = reservoir_properties.sel(x=x, y=y, method="nearest") Loading