The oil and gas industry is increasingly striving to “produce in context” rather than “produce at all costs”, with the help of machine learning and AI. This workshop will move beyond the buzzword and demonstrate where machine learning can be applied to upstream activity to improve performance, optimize processes and inform new business models. It will walk you through practical examples of how tools and models are being utilized to uncover and solve business problems. Join this workshop to familiarize yourself with machine learning techniques to identify patterns and
improve your analysis of performance.
Jaijith Sreekantan, Senior Data Scientist, Schlumberger
With the possibilities becoming endless for predictive analytics to improve performance, reduce downtime and minimize risks, engineers must understand the fundamentals of this process to leverage its potential. Building predictive models requires knowledge of your datasets, the context in which it will be applied and your IT capabilities. This session will take you through the model building processes to understand what’s required for data cleansing, algorithm selection, pattern identification, breakage predictions, tool optimization and successful integration into current processes. This workshop will draw on use cases to demonstrate how analytics can identify key drivers for performance change, learning what they look like, predicting how machinery and tools will behave and finally implementing methodology to react quicker to such changes.
Ian McNair, Enterprise Architect and Meena Thandavarayan, BP
Meena Thandavarayan, Enterprise Architect, BP
Real-time data is proving extremely valuable in the role it plays catching operational problems early on, increasing efficacy and safety and responding to real-world demand fluctuations. This workshop will explore how to apply real-time data processing to your wider analytics program to inform new business decisions. It will look at the capabilities and compare why it can be more useful than historical data for certain analyses. You will learn what are the appropriate tools and how to use them in certain scenarios through a practical activity.
Jay Hollingsworth, Chief Technology Officer, Energistics