Summer Camp for Year 4 (May 12 – June 12)

38 students and 2 junior scholars attended the summer camp in-person. The program began with a workshop on the first day, featuring an opening remark and six invited speakers who gave seminars on Energy Transition and Machine Learning:

• Joseph Powell - Energy Transition Institute, University of Houston
• Aramayis Dallakyan - Stata
• Charles Mcconnell - Center for Carbon Management in Energy, University of Houston
• Cheolkyun Jeong - Schlumberger
• Greg Bean - Gutierrez Energy Management Institute, University of Houston
• Ramanan Krishnamoorti - Energy and Innovation, University of Houston

Cohort 3 gave poster presentations on their research projects:

• Team 1: An Improved Characterization of the Subsurface in the Limerick Basin (Ireland) Using Deep Generative Model-Based 2D Gravity Inversion Constrained With Drill Hole and Petrophysics Data
• Team 2: Clustering and Statistical Modeling of Multivariate Financial Time Series Data Science for Energy Transition
• Team 3: Predicting Wind Energy Output With Machine Learning Methods for Wind Farms in Texas
• Team 4: Improving the Understanding of Geologic Controls of REE Deposits at Mountain Pass Through 3D Geological and Geophysical Modeling
• Team 5: Leveraging Machine Learning for Electromagnetic Inversion and Uncertainty Quantification: Application for Critical Mineral Exploration
• Team 6: A Data-Driven Analysis of Saltwater Disposal Well Performance and Induced Seismicity
• Team 7: Predicting Magma Fertility in Porphyry Copper Deposits Using Machine Learning
• Team 8: Geologic Hydrogen Exploration by Joint Inversion and Integrated Geological Interpretation
• Team 9: From Sentiment to Forecast: Predicting Natural Gas Prices Using News Article Analysis

Overview of Summer Camp Curriculum and Schedule

• Week 1: Introduction to Statistics and Spatial Statistics
• Week 2: Data Analytics for Public Policy
• Week 3: Introduction to Data Science and Data Visualization
• Week 4: Geoscience
• Week 5: Machine Learning