Python Plotly Tutorial - Creating Well Log Plots - Plotly Graph Objects and Plotly Express

Data visualization is an import part of working with data and Python has many libraries that allow you to display a wide range of charts. In this video we go over the basics of the Plotly library to display well log data on a simple, but interactive log plot.

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REFERENCES & LIBRARIES

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Books I Recommend:
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PYTHON FOR DATA ANALYSIS: Data Wrangling with Pandas, NumPy, and IPython

FUNDAMENTALS OF PETROPHYSICS

PETROPHYSICS: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties

WELL LOGGING FOR EARTH SCIENTISTS

GEOLOGICAL INTERPRETATION OF WELL LOGS

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#petrophysics #python #geoscience #plotly

[texasfossilguy]

this is a good start to making something with functionality. I think showing how to plot multiple curves on one chart would have been good also to make it look like standard charts.

[geraldmogi]

Hello Andy, thanks for the great tutorial. I have a question, do you know how to create/calculate the trend log such as DT Sonic trend line (Normal Compaction Trend)? And how to filter the spike log values (despike)?

[mohammadkeshtkar]

This video is very fantastic .Thank you Andy

[AndyBrickell]

very easy to understand and follow, thanks Andy

[MerekRoman]

fantastic video would love to see how I can add data to each point i.e. formation, mud viscosity etc

[serdarbayramov]

Hi Andy, thanks for this video. Assuming if I have two depth columns, let's say, MD and TVD, how can I have them both shared among all columns. In your example, you showed how we can share only one column of depth, but I wonder if we can share the second y_axis (TVD) just alongside the MD and share among the columns. I attempted this by creating the secondary y_axis, but I couldn't; find a way to share it.

[igorsouza]

Very nice! Is it possible to select specific parts from df to handle with others pourposes? such as ML.

[SBender-ir]

Do you know how to set the x-axis range for the log plots to show a little padding? I used fig.update_xaxes(range=[min, max]) but it sets the x-axis range to the same values for all three plots even though I did this for all three subplots separately.