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Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
Big data in Oil and Gas Industry
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Big data in Oil and Gas Industry

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How Big Data can play a BIG role in Oil and Gas industry

How Big Data can play a BIG role in Oil and Gas industry

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    • 1. BIG DATA IN OIL AND GAS – DATA TO DOLLARS Suvradeep Rudra
    • 2. Agenda • Type of Data • Various Applications • Big Data • Big Data Management • Big Data Governance
    • 3. Type of Data • The data is large, complex, and fast moving that it’s difficult to handle using everyday data management tools. – Huge volume of Structured data – Exploration – Petabyte seismic data sets – High performance computing – Real-time SCADA and process – Control systems – Down hole sensors – Energy Trading – Risk analysis and trade simulation
    • 4. Various Applications  Equipment maintenance: using data collected from pumps and wells to adjust repair schedules and prevent or anticipate failure.  Production optimization: using powerful modeling capabilities to anticipate costs and production volumes.  Price optimization: using scalable compute technologies to determine optimum commodity pricing.  Safety and compliance: using weather or workforce scheduling data to avoid creating dangerous conditions for workers and mitigating environmental risks.
    • 5. Big Data • Volume – Wide seismic data acquisition • Velocity – Real-time streaming data from drill-heads and equipment sensors • Variety – Structured, unstructured, semi structured (processed) data • Value – Increased speed to first oil – Increased production – Reduced risk – Reduced cost
    • 6. Big Data Management With proper Big data management, it can gain insight from real- time data and content and make organizations more agile and responsive to market and customer needs. Key considerations are : • Technology • Big data infrastructure and architecture • Lifecycle process for big data – determine requirements, capture/store, process, integrate/organize and consume
    • 7. Big Data Governance IT helps organization capture its critical big data by starting in the right path with a big data governance strategy to resolve potential challenges in business processes. • Business stakeholders • Business requirements • Various Data sources • Metadata management • Technology • Data quality and profiling • Data Policies • Data Security and Privacy
    • 8. THANK YOU
    • 9. QUESTIONS?

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