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EDF2013: Keynote Knut Sebastian Tungland: We need to understand (our) data


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Keynote Knut Sebastian Tungland, Chief Engineer IT at Statoil, at the European Data Forum 2013, 10 April 2013 in Dublin, Ireland: We need to understand (our) data

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EDF2013: Keynote Knut Sebastian Tungland: We need to understand (our) data

  1. 1. We need to understand (our) dataKnut Sebastian Tungland, StatoilEuropean Data Forum 10.4.2013
  2. 2. A strategy for superior profitability andgrowth Maximise Maximise Continue Upstream- upstream Marketing portfolio integrated upstream Revitalise NCS production and trading positions value management to with high value enhance value value barrels creation Strategic mid- and downstream positioning Production ProductionApply technology Create value above above to expand in 2.5 million boe/d from a superiorunconventionals 2.5 million boe/d gas position Offshore Geothermal in 2020 in 2020 wind energy Build material Carbon Develop a Gradual Gradual positions in 3-5 capture and leading global growth growth storage new offshore exploration business company clusters Renewable energy Upstream strategy and low carbon technologies
  3. 3. Seismic interpretation5
  4. 4. Some challenges in Seismic Interpretation •Data logistics – Compression and transmission •Processing time – Interactiv processing – Use of rock mechanics •Simpler programming models •Implementation in organization •Could we get rid of the images?6
  5. 5. ONSHORE SERVERS REAL TIME SUBSURFACE Dataflow CENTER 24/7 APPLICATIONS Sensor data available in G&G Real-time stream to Statoil intranet applications End users can interpret data in real- Quality checking and 24/7 monitoring time Supporting all Statoil operations Ability to control drilling from onshore7
  6. 6. Some challenges in Real Time Operation •Mixed set of data collectors – Changes in sensors and service providers •Access to data hampered due to legacy - Infrastructure topology, models, software… •Accountability – variability on who is responsible for data, •Latency •Data Quality and Semantics •Integration into well know tools •Could we automate drilling?8
  7. 7. Research: Environmental monotoringover the lifecycle of a field9
  8. 8. Asset control room Central support functions Emergency response Information & work processes Domain experts External organisations Sensors Existing sensors & sources Stationary Mobile & sensor ocean platforms observatoryBackground photo: Harald Pettersen 10
  9. 9. Some challenges in Enviromental Monitoring •New types of sensors •Sound/Images/Video – how to detect events in real time based on such sensors •Noise – understand weak signals in noisy conditions •Biological sensors – why does the heart rate of clams increase •Understand long term trends •Data management – we will use this though many years •How to get information to all actors?11
  10. 10. IT Security situation awareness Data collection Data correlation and Sensors for IT operations post incident analysis External events Network logs Pattern Load balancer recognition logs and Central Repository Cross log OS logs Security event logs detections Anti virus logs Web Server logs Proxy logs Application logs Database logs12
  11. 11. Some challenges in IT Security security awareness •Increasing numbers of logs/sensors - Volume •Any change in the infrastructure is a change in semantic and normalization •Don’t know the data quality and are unable to trace origins of data •When are we under attack, and how to keep our guard up - Pattern and event recognition13