Project Info
Data science applications for net zero carbon strategy in extractive industries
sebnem duzgun
duzgun@mines.edu
nicole smith
nmsmith@mines.edu
Project Goals and Description:
Development of net zero carbon strategies in extractive industries has become crucial. This project aims at understanding various decorbanization strategies using data driven approaches. For example how autonomous operations, water and energy use, waste management in mining and oil and gas industries can contribute to decarbonization efforts will be considered for a typical extractive industry to compare various alternatives using emissions data. Moreover emission data will be analyzed using machine and statistical learning methods to determine emission patterns
The team will work with graduate students and the faculty. Students will learn methods to be incorporated with the help of graduate students
More Information:
Grand Challenge: Engineer the tools of scientific discovery.
Primary Contacts:
sebnem duzgun, duzgun@mines.edu
nicole smith, nmsmith@mines.edu
edyaylaci@mines.edu
Student Preparation
Qualifications
Knowledge of extractive industries, ambition to learn data curation and coding
TIME COMMITMENT (HRS/WK)
8
SKILLS/TECHNIQUES GAINED
Syudentw will gain skills of data science and its applications
MENTORING PLAN
students will establish a work plan including deliverables with the help of graduate students and faculty mentors. they will join weekly meetings and present their progress. students will work together with graduate students in developing their data science skills
Preferred Student Status
Sophomore
Junior