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I had a hunch that there are much less projects under developement in Alberta, which will translate to lower demand for construction/operations/maintenance staff in the future. To find out if this is true I combined all of the ST-97 reports to find out how many new licenses there are, and where they are. The results are below:

That map is centered around Edmonton, which is where the locations of all the projects averages out to. You can see that the new projects are moving towards the north west, and that there are ALOT less of them.


You can see the projects began dropping off midway through 2015. For reference, the NDP were elected May 2015.

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Thought I would see which departments in the governments pay the most for various positions, so I made a heat map. Some departments are so far above, that I had to manually set the pay scale a little lower in order to differentiate between more down to earth salaries. If the tile is dark grey it is because they are above the scale.

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To visualize the province I made a section plot of the structures at every township in Alberta. Data is from the Atlas of the Western Canadian Sedimentary Basin Well Control Data. Note that there are some errors in this (some data is in twice), due to the way the AWCSB has the data, I will have to revisit it, and correct it at a later date. The process for getting the data to plot was:


  • Average the depths to the structures for every section, from all the wells in the atlas.

  • Move through the province south to north one township at a time, and plot the depths of the structure tops


Fairly simple, good process for a computer to do. I am pleased with the results. The labels are located at the structure tops. If there was no depth data for that structure in the section, the program would default the depth to 200m or the average from the most recent township. This is not specifically flagged, so there could be some data quality issues there.

An example image is here.
You can see the full result here.

Also, made a 3D model in blender.

Some other cool ideas would be contour maps of each structure, or switching and using the isopach values, rather than structure tops. Either way very cool dataset!

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NOTE: Any info about the power grid from here and older is out of date :). Lot’s has changed since this was written.
To illustrate how the price is determined, it is most simple to use a line graph of the cumulative sum of bids, and the price they are bid in at. This illustrates that in order for the price to go up alot, all the easy sources of power must be exhausted. Currently there are lots of low cost sources of power in Alberta.

In the remainder of this post, I will explain how that is generated.


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