1c Data Analytics: Subsurface Data Types

Lecture on the common data types for spatial, subsurface data analytics and geostatistics. Well cores and logs, seismic, production, along with analog sources such as outcrop, shallow seismic and experimental stratigraphy. Admittedly, this discussion is oil and gas and groundwater focused, e.g., wells and well logs, seismic, fluid production, etc. In the future, I will append a lecture with mineral mining data types. Note, I am a mining engineering and geologist.
Data Analytics and Geostatistics is an undergraduate course that I teach fall and spring semesters at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeling, from probability, statistics, heterogeneity measures, spatial continuity models, spatial estimation, spatial simulation, model checking, decision making, up to machine learning basics. I provide accessible content to help you face the digital revolution!
Learn more me and my research program at The University of Texas at Austin at www.michaelpyrcz.com.
I hope you find this course content useful,
Michael J. Pyrcz
Professor
Cockrell School of Engineering
Jackson School of Geosciences
The University of Texas at Austin