Data-Driven Methods for Petroleum Engineering and Geoscience

Data-Driven Methods for Petroleum Engineering and Geoscience
This course will provide working knowledge about common machine learning techniques and data-driven methods suitable for engineers and geoscientists. Emphasis will be on the use of supervised learning, classification, clustering, regression, transformations, and neural networks using open-source Python computational platforms. Engineers, researchers, geoscientists and other attendees will learn to assemble machine learning workflows and apply them on various types of the data. The hands-on nature of the course facilitates understanding the basics of machine learning, data science, and data analysis. Attendees will get to work on simple case studies on the use of machine learning in oil and gas.

NEW DATES: APRIL 6-7, 2020
Course Instructor:


Dr. Siddharth Misra - Assistant Professor, Texas A&M University


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Instructor Bio, Course Outline and Agenda

COURSE FEES: SPWLA MEMBER $1500  NON-SPWLA MEMBER $2000
When
4/6/2020 8:00 AM - 4/7/2020 5:00 PM
Where
8866 Gulf Frwy Suite 320 Houston, TX 77017 UNITED STATES

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