You have been given a field dataset from multiple fields of many different wells (project_data.csv). Your job is to analyze the data and try to create a correlation to predict solution gas-oil ratio at the bubblepoint. The field dataset has five columns of data as follows:
Gas oil ratio measured at the stock tank (Rst) in standard cubic feet per stock tank barrel (scf/STB),
Specific Gravity of the oil at the stock tank (SGoil) where 1.0 is the specific gravity of water,
Specific Gravity of the gas at the separator (SGgas) where 1.0 is the specific gravity of air,
Separator Pressure (Psp) in psi
Separator Temperature (Tsp) in Fahrenheit,
You need to create a correlation for Rst, using the other values as input values. Some key points will be the following:
Importing the data
Performing basic statistical analysis on the data
Identifying any issues/outliers in the dataset and cleaning them
Visualizing the dataset
Working on single and multivariable correlations using the clean data set
Generating a final equation to predict Rst
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20190426205356_project (16 kB)20190426205520_project (16 kB)
