# DataAnalytics_Geostatistics **Repository Path**: mantte6199/DataAnalytics_Geostatistics ## Basic Information - **Project Name**: DataAnalytics_Geostatistics - **Description**: No description available - **Primary Language**: Python - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-10-01 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

# DataAnalytics_Geostatistics Short course on data analytics, geostatistics and machine learning for spatial modeling. #### Course Objectives: You will gain: * knowledge concerning data analytics, geostatistics and machine learning for subsurface modeling. #### Course Agenda * Introduction: objectives, plan * Fundamentals - subsurface modeling goals and approaches * Probability – frequentist and Bayesian concepts * Data Preparation - data bias and uncertainty modeling * Spatial Continuity – stationarity, variogram calculatio * Spatial Estimation – trend modeling, kriging estimation and uncertainty * Multivariate Analysis – correlation, marginal, conditional and joint * Uncertainty Modeling - concepts and methods * Statistical Learning – training and testing, model bias and variance * Feature Selection – curse of dimensionality, over fit and ranking * Conclusion – summary, lessons learned, discussion #### The Instructor: ### Michael Pyrcz, Associate Professor, University of Texas at Austin *Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions* With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. For more about Michael check out these links: #### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig) | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1) #### Want to Work Together? I hope that this is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate. * Want to invite me to visit your company for training, mentoring, project review, workflow design and consulting, I'd be happy to drop by and work with you! * Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems! * I can be reached at mpyrcz@austin.utexas.edu. I'm always happy to discuss, *Michael* Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin #### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig) | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)