Python for Geothermal Scientists and Engineers

To register for short course along with conference registration please visit the registration page.

Thursday, 28 November 2019
Owen G. Glenn Building, Auckland
8:30am – 3:30pm

Python is the computer language of choice for engineers and scientists. It is flexible and one of the easiest programming languages to learn. Python is the perfect tool to plot, down-sample and interpolate from station, steamfield and well data, without any dataset size limitations. Attractive and easily repeatable ternary, frequency, striplog, and time series plots can be made where formatting is set once and data updated as required—great for monthly reporting, geochemical analysis, and comparing between wells. Python is the language of choice for geothermal modelling (e.g., TOUGH2) and common geospatial packages (e.g., ArcGIS), and it interfaces well with your existing Excel sheets. In this course, you will be taken though the rules for writing a Python computer program and shown some common geothermal applications, such as analysing and plotting well data and simple modelling. This course assumes no prior experience writing computer code and is appropriate for geologists, geochemists, and reservoir engineers alike. Participants will need to bring a laptop with Python pre-installed (instructions will be given).

Course requirements: Participants must bring with them their own laptop with Python already installed (instructions will be given).

Additional materials will be supplied at the workshop. Minimum enrollment of 10ppl. Registrants do not have to attend NZGW in order to register for this short course.

Cost
$350 Standard Registration
$200 Student Registration
*morning tea and lunch will be provided

Presenters:
Dr David Dempsey joined the University of Auckland Engineering Science Department in 2015. Prior to that, he worked on renewable energy and natural hazard problems at Los Alamos National Laboratory and Stanford University. David completed his PhD at the University of Auckland in 2012, studying the relationship between faults and geothermal systems in the central North Island.