Jackson R. Tomski

Staff Researcher I
Years of Experience:
3
Education & Licenses:

Master of Science, Geological Sciences – Geophysics, 2020, The University of Texas at Austin, Austin, TX
Thesis: Unconventional Reservoir Parameter Estimation by Seismic Inversion and Machine Learning of the Bakken Formation, North Dakota
Bachelor of Science, Geological Sciences (Concentration in Geophysics), 2018, Michigan State University, East Lansing, MI
Minor in Computer Science

Areas of Specialization:

Programming in Python, Matlab, C, and C++
Data visualization using Pandas, Matplotlib, Seaborn, and Microsoft Excel
Seismic Inversion, Well Log Interpretation, and Seismic Interpretation
Predictive Analytics, Predictive Modeling, Deep Learning, and Big Data Analytics

Overview:

Mr. Tomski is a Staff Researcher for the Applied Research & Development Team at E2G.  Prior to E2G, he was a Graduate Research Student at The University of Texas at Austin applying machine learning algorithms in aid of exploration geophysics and petroleum engineering-related problems.  Mr. Tomski also worked a summer internship as an Earth Scientist doing a Data Science project for Chevron within the Mid-Continent Busines Unit (MCBU).

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