The easiest way to fix this error is to run the first cell (the forgotten one), then to re-run the second cell. When this error occurs, notice that the In : indication to the left of the first cell stays blank whereas the In : indication to the left of the second cell does not. What is the output? # Answer: print ( a ) # TODO: run this cell without running the one above.
Partial SolutionĮxercise 16 - Machine Learning - Petrophysical interpretation and Log classificationīonus 2 - Petrophysical Data Review (Fitting probability distributions)īonus 3 - XTGeo computing 3D grid statistics Then, to select the conda environment.Decline Curve Analysis example (Final Solution)Įxercise 4 - Loading data into Google ColabĮxercise 4 - Starting in Jupyter NotebooksĮxercise 5 - Well type using Arps equation for multiple wellsĮxercise 5 - Well type using Arps equation for multiple wells (Partial Solution)Įxercise 6 Empty - Relative Permeability Calculations (Solve the errors)Įxercise 6 - Relative Permeability CalculationsĮxercise 7 Partial Solution - Exploratory Data Analysis (Petrophysical Summary Table)Įxercise 6 - Solution: Relative Permeability CalculationsĮxercise 8 - Solution: Probabilistic Original Oil In PlaceĮxercise 7 Solution - Exploratory Data Analysis (Petrophysical Summary Table)Įxercise 9 - Inflow Performance Relationship (IPR)Įxercise 9 Partial Solution - Inflow Performance Relationship (IPR)Įxercise 11 - Pressure Traverse- Revised Beggs and Brill CorrelationĮxercise 11 Solution - Pressure Traverse- Revised Beggs and Brill CorrelationĮxercise 12 Partial Solution - Integrating IPR and VLPĮxercise 12 Solution - Integrating IPR and VLPĮxercise 13: Working with well-logs. Now run a Jupyter notebook on your local machine using: jupyter notebook Enter the following command: conda install -c anaconda ipykernelĪnd then python -m ipykernel install -user -name=worklab To use for example the environment worklab that we just created in a Jupyter notebook, a solution is to use ipykernel. That returns in my case for example: # conda environments: # base /Users/mb/anaconda3 websitedev /Users/mb/anaconda3/envs/websitedev websitedev2 /Users/mb/anaconda3/envs/websitedev2 worklab * /Users/mb/anaconda3/envs/worklab Use a conda environment in a Jupyter notebook Note: to get a list of your environment, there is the command: conda env list To activate the environment called worklab. Since conda is installed in your system to create an environment (called for example hereafter worklab) use the following command: conda create -name worklab To install conda go to Anaconda Individual Edition.
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