SPE Online Education
Data Science and Engineering Analytics
Application of Petroleum Data Analytics to Upstream Oil and Gas Use CasesContains 9 Component(s), Includes Credits
Analytics is not new to the oil & gas industry. From the early days of seismic acquisition and processing, well log interpretation and reservoir simulation, industry experts have used various techniques up to the limit of existing computer power, to analyze and model data recorded in the field to make better decisions.
A Review of Data Analytics Techniques and Data Management InfrastructureContains 9 Component(s), Includes Credits
Data volume is exploding — more than 90% of today’s data was created in the last few years, and there is an exponential increase in new types of data, with mobile, social media, video, and the Industrial Internet of Things adding to the growth of seismic, reservoir, drilling, production, and engineering data.
Data Analysis in the Real WorldContains 2 Component(s), Includes Credits
This intermediate-level course will provide answers to these questions as well as recommendations for decision-making based on data analytics for each sector. The course will begin with an introduction of Big Data, then continue into a deeper dive on its implications within each sector. Industry case studies make the concepts applicable in the real-world.
Tools of Data AnalysisContains 2 Component(s), Includes Credits
This intermediate-level course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision tree analysis as well as an introduction to regression.
Data Analysis for Improving Organizational PerformanceContains 2 Component(s), Includes Credits
This intermediate-level course will explain some of these measures and tools, describe some specific measurements, and explain the relationship between assessment and strategy. Summarizing the data with the correct tool can be the gating factor to reaching staff and effecting changes that spur performance improvement.
Statistical Process ControlContains 2 Component(s), Includes Credits
This intermediate-level course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered.
Statistics as a Managerial ToolContains 2 Component(s), Includes Credits
This intermediate-level course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action.