A short tutorial on loading and displaying processed acoustic waveform data using dlisio and matplotlib

matplotlib plot showing a semblance map on the left and waveform data on the right. Image by the author.

Introduction


Taking well log plots one step further using Python and matplotlib

Final well log plot generated using Python’s matplotlib library and contains variable fill on the gamma ray, and a neutron-density crossover fill. Image by author.


Appending Multiple LAS Files to a Pandas Dataframe

Crossplots of density vs neutron porosity from multiple wells using the Python library matplotlib. Imagae created by the author.


Using fill_betweenx() in matplotlib to add variable color fills and hatches for geological lithology data

Well log plot with gamma ray, neutron porosity and bulk density data plotted alongside lithology data.
Well log plot with gamma ray, neutron porosity and bulk density data plotted alongside lithology data.
Well log plot with gamma ray, neutron porosity and bulk density data plotted alongside lithology data. Image created by the author.


Utilizing the power of matplotlib to display wellbore image data

Logging While Drilling image data displayed using matplotlib in Python. Image created by the author.

Introduction


Applying Color Infill to Well Log Data Using matplotlib and fill_betweenx()

Log plot shading using fill_betweenx. [Image Created by Author]


A short guide on applying a linear regression in Python to semi-log data

Photo by Ekaterina Novitskaya on Unsplash


Photo by Lukas Blazek on Unsplash


Exploring where data is and where it isn’t

Photo by Vilmos Heim on Unsplash


Photo by Maxwell Nelson on Unsplash

Hands-on Tutorials

  • What normalization is
  • Why we want to normalize well log data
  • How we carry out normalization
  • Example of normalization within Python

What is normalization?

Andy McDonald

Petrophysicist | Geoscientist | Data Scientist with a strong interest in data analytics, machine learning and artificial intelligence.

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