Time: 0800–1600 (GST)
Instructor: Ashwin Venkatraman
Discipline(s): Data Science and Engineering Analytics, Drilling, Production and Operations, and Reservoir
Location: In-Person, Hilton Dubai Al Habtoor City
In this course, we will start by introducing advanced analytical tools and techniques—machine learning and data mining algorithms used to identify of trends and patterns in any given dataset and predict future trends. We will showcase how each of these tools and techniques has been successfully applied to subsurface data - formation evaluation data, well testing data, reservoir data as well as data from surface facilities. We shall also present case studies of how the integration of this seemingly disparate data can be done through new workflows that help identify opportunities to increase recovery. Finally, we will draw important distinctions between the more traditionally used forward models (physics-based approach such as reservoir simulation) and these statistics-based models. Using a case study that demonstrates the integration of these two approaches, we shall conclude by drawing out a framework for the integration of these tools in your existing workflows.