Mastering the Art of Geostatistics: A Python-Powered Workshop
Workshop Overview:
The workshop aims to equip participants with the necessary tools for exploratory statistical analysis relevant to geothermal exploration and production. Through a combination of theoretical concepts and practical exercises, participants will learn to conduct statistical analysis on various datasets, and gain proficiency in creating 2D and 3D statistical models using industry-standard python packages
The instructors will be Dr. Cary Lindsey from the Great Basin Center for Geothermal Energy (GBCGE) at the University of Nevada Reno and Dr. Whittney Trainor-Guitton from the National Renewable Energy Laboratory (NREL).
Cary has a PhD in Geology from the University of Idaho where her primary focus was geostatistical modeling of shallow geothermal systems in Yellowstone National Park and the Great Basin, Western United States. She completed a postdoc at UNR and was a USGS Mendenhall Postdoctoral Fellow working on machine learning for geothermal resource assessment. She is now a research scientist at the GBCGE focused on improving exploration techniques for geothermal resources. Most of her time is spent on the DOE funded INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project and geothermal outreach.
Whitney Trainor-Guitton is a quantitative geoscientist with a demonstrated history of working in the subsurface and remote-sensing research and development and higher education. Whitney is experienced in blending data science, spatial statistics and geophysical inversion, and specializes in geostatistics, geophysics, geothermal exploration, carbon dioxide sequestration monitoring, inverse problems, and deep learning. She earned her doctorate focused on Earth, Energy and Environmental Sciences from Stanford University. She has also served as a staff scientist at Lawrence Livermore National Laboratory and assistant professor at the Colorado School of Mines doing research and development in statistical learning applied to distributed acoustic sensing, angle versus offset seismic data and screen out pressure data. She worked on optical satellite imagery with Google Earth Engine while a contractor at TotalEnergies. Starting at Zanskar and currently at NREL, Whitney is advancing play fairways analysis for discovery of hidden geothermal systems, using value of information and spatial statistics.
Workshop Information:
Agenda:
Day 1: May 30th
Introduction to Google Colab
- Exploratory Data Analysis in Python (Colab)
- Understanding basic exploratory statistics
- Plots and graphs to explore data
- Data Normalization and standardization
- Geostatistics
- Variograms
- Kriging
- Examples
Day 2: May 31st
- Capturing 2d anisotropy in variograms
- Stochastic simulation
- 3D Kriging and Visualizations
Location:
Zoom virtual meeting. The sessions will be recorded and provided to those that register.
Who Should Attend:
Higher level Geoscience and engineering students (Jr/Senior undergraduate, Graduate students, early career). Also open to later career professionals.
Cost:
- GR Student Member (NextGenGeo) : $40
- Student Non-Member : $100 *Quick tip* Become a student member for $40 and save $20 on this workshop - Go HERE to become a student member.
- GR General Member: $180
- General Non-Member: $340)
Participating Organizations:
