This online training course will take an introductory look at the opportunities, challenges and specific requirements for petroleum data analytics for the energy industry.

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.

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.

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.

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.

This course will introduce you to the importance of statistics in the business world.

Upon completion of this course, the participant should be able to: review surface flowing well conditions with the goal of optimizing production, describe the basic layout of an upstream producing facility and the functions of its major components, outline the general requirements for separating and treating produced oil as a basis for a detailed facility design, and plan and oversee routine field maintenance work, and maintain a safe operation through proper application of good work practices and the careful control of site activities.

The turn of the 21st century brought about more affordable sensors, field automation and process control technology to the industry.

This preparatory study course will share best practices for engineering professionals getting ready to take the professional registration or the SPE certification exam.

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.