Geoscience Machine Learning bits and bobs – data completeness
2016 Machine learning contest – Society of Exploration Geophysicists In a previous post I showed how to use pandas.isnull to find out, for each well individually, if a column has any […]
Category Archives: VIsualization
Busting bad colormaps with Python and Panel
I have not done much work with, or written here on the blog about colormaps and perception in quite some time. Last spring, however, I decided to build a web-based […]
Data exploration in Python: distance correlation and variable clustering
In my last post I wrote about visual data exploration with a focus on correlation, confidence, and spuriousness. As a reminder to aficionados, but mostly for new readers’ benefit: I […]
Visual data exploration in Python – correlation, confidence, spuriousness
This weekend – it was long overdue – I cleaned up a notebook prepared last year to accompany the talk “Data science tools for petroleum exploration and production“, which I […]
Geophysics Python sprint 2018 – day 1
Last weekend I went to California to attend my first ever Python sprint, which was organized at MAZ Café con leche (Santa Ana) by Agile Scientific. For me this event was a […]
Computer vision in geoscience: recover seismic data from images – part 2
In part 1 of this short series I demonstrated how to detect the portion occupied by the seismic section in an image (Figure 1). The result was a single binary […]
Computer vision in geoscience: recover seismic data from images – part 1
As anticipated in the introductory post of this short series I am going to demonstrate how to automatically detect where a seismic section is located in an image (be it […]
What is acquisition footprint noise in seismic data?
Acquisition footprint is a noise field that appears on 3D seismic amplitude slices or horizons as an interwoven linear crosshatching parallel to the source line and receiver line directions. It […]
