SPE Workshop: Data Science and Analytics for E&P Projects 11 - 12 Sep 2017 Kuala Lumpur, Malaysia

E&P is a data-driven business. The industry leverages vastly on data whether it is looking for ways to find hydrocarbon resources, do enhanced recovery, reduce HSE risks through equipment failure OR run big models; data has and always will play an important part. For last twenty years, data analytics has been on the sidelines playing an important but not a very significant role. Today, however, it has assumed a pivotal position thanks to the explosion in innovative applications, computing speed and to some extent the drive to bring down the cost due to continuing low oil prices. Data science and Machine learning proven methodologies increasingly attract more interest on various aspect of E&P including; Exploration, Development, Production, RMP, Surveillance & Monitoring, Risk & Uncertainty Management, Simulation/Prediction domain, etc.

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  • Geoscientists
  • E&P engineers of all domains (subsurface, surface, from exploration to production)
  • Data scientists and data custodians
  • Professionals looking to employ, explore and understand how data analytics can improve knowledge discovery, collaboration, and efficiency



State of the art Data Analytics technologies

How others are using Data Analytics

How to apply Data Analytics through the field life cycle

How Data Analytics enhance collaboration


How to discover new knowledge in existing data

Which technologies to use for effective problem-solving

What challenges you face in implementing Data Analytics projects

Registration Deadlines

Super Early Bird
14 July 2017 

Early Bird
11 Aug 2017