Prerequisites for the course are summarized below.
BUSINESS IMPACT: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.
COURSE DESCRIPTION: Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. After completing the course, participants will have a set of tools and some pathways to analyze and manipulate their data in the cloud, find trends, and develop data-driven models.
Specifically, the following use cases are discussed covering their business impact, code walkthroughs, and solutions:
Customization
LEARNING OUTCOMES:
After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models.
REGISTRATION POLICY
Registration should be made at least one month before the start of a course. It is recommended that participants register early due to limited seating. However, we will accept paid registrations up to the last business day before the class, provided there are seats available. Registrants will receive a confirmation email within 48 hours of registration and will receive complete venue information two weeks prior to the first day of class.
REMINDER: your seat in a course is NOT confirmed until payment is received.
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