GEOL 5060 - Geodata analysis for Geological Sciences

This course is designed to introduce the principles of surface and subsurface data 2D and 3D visualization, analysis, and management and the applications of geospatial techniques in addressing geological, environmental, or petroleum resource exploration problems. Topics include geospatial data organization and preparation, exploratory data analysis, geospatial data correlation and regression, spatial interpolation and modeling, reservoir volume calculation, and well production data analysis and performance evaluation.

Requisites:
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:

Students will be able to summarize and manage geospatial data.
Students will be able to produce surface and subsurface data visualizations and analyze data using ArcGIS Pro and Petrel.
Students will be able to explain spatial autocorrelation and the role of autocorrelation in geospatial modeling.
Students will be able to use core geostatistical components and functionality of ArcGIS Pro.
Students will be able to analyze geospatial data distributions using geostatistical measures.
Students will be able to conduct geospatial models and conduct uncertainty analysis.
Students will be able to assess well production data to optimize future production operations in Petrel.
Students will be able conduct well production forecasting.
Students will be able to apply appropriate data analytical techniques to address real world geological or environmental problems.