Data Analytics

Data Analytics

Explore emerging and future data analytics technologies, applications and methodologies at ENGenious 2018.

The Symposium will evaluate current practices, emerging trends and next generation applications of data analytics technologies.

Champions: Satyam Priyadarshy & Andrew Smart


Oil & Gas companies are awash with data. Almost every step of the operation generates or employs data and yet the industry itself feels it fails to utilise data to maximise business benefits.  Data analytics, a science deployed within the oil & gas sector for decades and one near universally recognised as being ‘value adding’, has for a variety of reasons not yet become an end to end, fully imbued capability within Oil & Gas businesses.

There have been many successive hype waves: moving from advanced visualisation to streaming analytics; and from Big Data to Predictive Analytics and Artificial Intelligence.  That said, the application of these powerful technologies has been patchy at best and there is a growing sense across the industry that ‘we might be collectively missing a trick’. As a consequence, this rear view reality is now being challenged by players across the industry as they actively focus on gathering, maintaining and governing data from across the enterprise and bring modern analytics technologies to their data to drive insight-led solutions to business critical issues.

The goal of the event is to bring together researchers and technologists from both the oil & gas industry itself, the technology community and academia to explore state of the art, emerging and future data analytics technologies, applications and methodologies. Different business cases and challenges will be presented to evaluate current capability and limitations of data and analytics technologies covering the spectrum of analytics from descriptive analytics (Bi/MI/KPI management and streaming) through Predictive analytics, Predicative analytics, Big Data technologies and Artificial intelligence.  The latter focussing heaving on machine learning but also exploring other sub-capabilities within this analytics domain.

Emerging trends, including the way companies are organising for analytics, accessing data science capability and trends in next generation technologies; these include computer vision, deep learning, neural nets and NLP will all be explored. Next-gen future application areas and technology trends, including the role of automation, analytics at the edge, machine to machine based analytics, cyber-security and cloud based applications, will be discussed and evaluated. These technologies have the power to revolutionise the sector in the same way as they have Financial Services, Communications and Hi-tech and Fast Moving Consumer Goods. The event will ensure attendees have the opportunity to learn and experience from other industries and to understand how these same approaches can be adapted for the O&G sector.

Explore Committee                             View programme


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