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We need to understand (our) data
Knut Sebastian Tungland, Statoil
European Data Forum 10.4.2013
A strategy for superior profitability and
growth
                                                                                    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
                      Production
Apply technology                           Create value
                         above
                         above
  to expand in     2.5 million boe/d     from a superior
unconventionals    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
Seismic interpretation




5
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
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 onshore



7
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
Research: Environmental monotoring
over the lifecycle of a field




9
Asset control room                         Central support functions   Emergency response




                                              Information & work processes
           Domain experts                                                            External
                                                                                     organisations




          Sensors             Existing sensors & sources   Stationary            Mobile
          & sensor                                         ocean
          platforms                                        observatory




Background photo: Harald Pettersen


  10
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
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 logs




12
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 recognition




13

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

  • 1. We need to understand (our) data Knut Sebastian Tungland, Statoil European Data Forum 10.4.2013
  • 2.
  • 3. A strategy for superior profitability and growth 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 Production Apply technology Create value above above to expand in 2.5 million boe/d from a superior unconventionals 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
  • 5. 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
  • 6. 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 onshore 7
  • 7. 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
  • 8. Research: Environmental monotoring over the lifecycle of a field 9
  • 9. Asset control room Central support functions Emergency response Information & work processes Domain experts External organisations Sensors Existing sensors & sources Stationary Mobile & sensor ocean platforms observatory Background photo: Harald Pettersen 10
  • 10. 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
  • 11. 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 logs 12
  • 12. 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 recognition 13