This course is designed to provide participants with a detailed and up-to-date overview of Data Driven Technologies: applications and case studies. It covers the importance of data-driven technologies including the key technologies and tools like AI, machine learning, big data analytics and cloud computing; the best practices for data collection, storage and management; the reliability and security of data in petroleum applications; using data to predict trends and behaviors in petroleum operations; and the various models of machine learning and their specific applications in the industry.
Further, the course will also discuss the data analytics to predict equipment failures and schedule maintenance; the drilling operations, reservoir characterization and risk assessment and management; the real-time data monitoring and management; and the operational intelligence through integrated technologies.
During this interactive course, participants will learn the data visualization techniques and handling large-scale data sets; how cloud platforms facilitate data management and analytics; the differences, benefits and how data lakes and warehouses can be utilized in the petroleum industry; the critical aspects of data security and privacy; the cultural change and digital transformation; the analytical insights into actionable business decisions; and the future trends in data technologies and overcoming challenges in adopting new technologies.