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Optimizing Well Delivery in Real-Time

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards. Matt Regan, Jan Kåre Igland, Vikramaditya S. Shekhawat Kongsberg Digital. Slide 3. Introduction: Well delivery is becoming more challenging.

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Optimizing Well Delivery in Real-Time

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  1. Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards Matt Regan, Jan Kåre Igland, Vikramaditya S. Shekhawat Kongsberg Digital

  2. Slide 3 Introduction: Well delivery is becoming more challenging • Easy oil is running out • Extraction is more challenging  well profiles are more demanding • D&E technology is keeping up  volume and complexity of data is growing

  3. Slide 4 WITSML: Data Standard • “right-time, seamless flow of data…to speed and enhance decision-making” • industry standard, globally accepted, contractually mandated • drives web-based solutions  secure, no software on users’ desks Client network / IT domain mudlogging rigsite data providers supplying raw data in WITSML, WITS0, OPC, etc client end-users displays, models, reports, etc WITS0 DD/MWD/LWD acquisition and aggregation client rig central database/ web server client office rig instrumentation, Cementing, CT, MPD, UBD, etc

  4. Slide 5 Redefining ‘basic’ real-time data delivery • WITSML and other standards + web-based, independent data solutions • More data, available to more people, presented more intelligently •  informed, collaborative, timely decision-making 1980’s-2000’s 2010’s

  5. Slide 6 Data Management Challenge Client end-user using four interfaces No central Client database Client IT environment Data transmitted and hosted within Client network on service provider servers Data transmitted and hosted completely outside Client domain Service Company D Service company A Service Company B Service Company C C rig source A rig source B rig source D rig source

  6. Slide 7 Infrastructure Standard Client end-user using one web-based interface ALL data transmitted, hosted AND managed completely within Client domain Data management independent of rigsite service provider Rig aggregation At rigsite One central Client database WITS0 Client IT environment LWD Provider (WITSML) Mudlogging Provider (WITS0) Rig provider, etc… (OPC Profibus) Aggregating ALL data sources at ALL rigs

  7. Slide 8 Drilling: Business Objectives Drill SAFELY Drill QUICKLY Drill CHEEPLY Drill ACCURATELY Drill CONSISTENTLY

  8. Slide 9 Drilling Data Management: Business Value Proposition Real-time Advisory and Predictive console Web-based ergonomic display Robust, central, integrated database Standard data acquisition

  9. Slide 9 Approaches to use of real-time data • Monitoring by Simplicity: Graphical dashboards • Monitoring by Exception: Smart Agents • Monitoring by Recommendation: Advisory Consoles • Monitoring by Analytics: Way forward

  10. Slide 10 Monitoring by Simplicity: Graphical dashboards

  11. Slide 12 Monitoring by Exception: Smart Agents Raw data display Smart Agent Intelligent display • ‘intelligent’ data management: no longer monitor logs, now monitor KPIs

  12. Slide 13 Monitoring by Recommendation: Advisory Consoles • latest step in real-time data solution: predictive and advisory consoles • complex processing + automated problem detection + holistic presentation • driving standard workflows

  13. Monitoring by Analytics: Way forward raw realtime data raw static data/metadata realtime results delivered data TECHNICAL ANALYTICS realtime results End-users raw realtime consolidated web-based realtime delivery raw realtime DATA MANAGEMENT WITS0 static + metadata static + metadata raw realtime realtime results raw static COMMERCIAL ANALYTICS DSIS, etc • Plug ‘n’ play, vendor specific analytic engines. • Centralized data management • Common visualization.

  14. Slide 15 Conclusion: The Next ‘Standard’? • data availability, hardware and software are no longer restrictions • intelligent data management strategy is now about supporting process • consistently optimising well delivery • platform driven approach, with AI.

  15. Slide 16 Acknowledgements Colin Mason KjetilBekkeheien BP Statoil Thank You Questions

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