High Performance Data Management Use of Standards in Commercial Product Development

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1 v2 High Performance Data Management Use of Standards in Commercial Product Development Jay Hollingsworth: Director Oil & Gas Business Unit Standards Leadership Council Forum 28 June

2 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle. 2

3 Oracle s Leadership in Oil & Gas Commitment to Open Standards 3

4 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 4

5 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 5

6 Challenges Reservoir Characterization Overwhelmed Exponential increase in traditional data volumes seismic, logs Need to bring real-time data from the rig site into the earth model Industry desires a neutral integration platform to avoid vendor lock-in Management of exploding interpretation and simulation results 6

7 Challenges Drilling No More Easy Stuff Drilling in more difficult, public conditions Increasing risk to personnel Increasing risk to reputation Need to reduce NPT No access to contextual data (e.g. offset wells) Limited use of RTOCs due to costs 7

8 Challenges Production Do More with Less Need to make more real time decisions with fewer engineers Continuous optimization required to maximize output Public and regulatory pressure to monitor wells in real time Operational data needs to be brought together with static Financial, technical, process 8

9 Challenges Enterprise Data Store Massive Amounts of Data Enormous data volumes Unfamiliar (new) dense data types like microseismic, electromagnetic and distributed temperature sensor Integration of semi-structured and unstructured data Preserving real-time data Lack of standards-based products 9

10 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 10

11 Solution Requirements and Benefits Would You Agree that If you could implement these requirements, A mechanism to analyze massive real-time data streams Which makes smart recommendations Based on the totality of the knowledge about the asset Created using familiar petrotechnical collaboration tools Including traditional interpretation, financial and operational data Using widely-accepted standards With a low total cost of ownership you would be able to achieve these benefits? Faster analysis across more wells and Timely decision-making Using all available types of information assets Leveraging existing investments in petrotechnical applications Which incorporate real-time information From most cost-effective vendors On a proven, familiar IT infrastructure 11

12 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 12

13 Data Flow from s to Oracle Solution The Oracle High Performance Data Management Solution leverages existing instrumentation and data acquisition infrastructure RTU RTU Analog to Digital MTU/ DCS/ SCADA Drilling Data Production Data Process Control or Data Acquisition System Rigsite Aggregator Historian WITSML Other Protocols (OPC/UA, DA, etc.) PRODML Oracle High Performance Data Management Solution RTU = Remote Terminal Unit MTU = Master Terminal Unit DCS = Distributed Control System 13

14 Oracle High Performance Data Management Overall Architecture The Oracle Solution will enable the capture and analysis of real time drilling and production data alongside traditional interpretation data High Performance Data Management Solution for Upstream RTU RTU MTU/ DCS/ SCADA Drilling Data Production Data Rigsite Aggregator Historian Real Time Drilling OPC/UA, DA Real Time Production WITSML Service PRODML Service Exalogic CEP RTD BAM 3 rd Party Apps Real Time Appliance PPDM + Data Model Exadata Spatial Data Mining R Enterprise GoldenGate PPDM Appliance Exalytics Essbase Hyperion OBIEE TimesTen Analytics Appliance CEP = Complex Event Processing BAM = Business Activity Monitoring RTD = Real Time Decisions DLIS Loader Logs SQL Loader ASCII Data 14

15 Oracle High Performance Data Management Where is Hadoop? The Oracle Solution will enable the capture and analysis of real time drilling and production data alongside traditional interpretation data High Performance Data Management Solution for Upstream RTU RTU MTU/ DCS/ SCADA Drilling Data Rigsite Aggregator Real Time Drilling BDA available Protocol since TBD Jan Toolkits from Cloudera Production Data Open source Oracle NoSQL Historian Hadoop loader Real Time Production WITSML Service PRODML Service Exalogic CEP RTD BAM Big Data Appliance 3 rd Party Apps NoSQL Real HDFS Time Appliance Hadoop w/ Loader Cloudera CEP = Complex Event Processing BAM = Business Activity Monitoring RTD = Real Time Decisions PPDM + Data Model DLIS Loader Logs Exadata Spatial Data Mining R Enterprise GoldenGate PPDM Appliance SQL Loader ASCII Data Exalytics Essbase Hyperion OBIEE TimesTen Analytics Appliance 15

16 Oracle High Performance Data Management Oracle Exalogic Elastic Cloud Capabilities Extreme performance hardware which runs Oracle business applications or software products provided by partners Dramatically improves the performance of virtually any standard Linux or Java application Benefits Support any given workload with less power, hardware, heat, data center space and software Since Exalogic is pre-integrated by Oracle it is also easier to provision, manage and maintain 17

17 Oracle High Performance Data Management Additional Components on Exalogic Complex Event Processing Declarative environment for processing multiple event streams to detect patterns and trends in real time Providing the necessary visibility via Oracle BAM to mitigate developing risks Business Activity Monitoring (BAM) Analyze events as they occur Act on current conditions Real Time Decisions (RTD) Operational Decision Framework Defines decisions in the real-time process context Automation Self-learning predictive models learn on closed loop feedback 18

18 Oracle High Performance Data Management Additional Components on Exalogic WITSML service For real-time drilling, logs and stimulation data transfer High-performance web service interface PRODML service For production and reporting data transfer High-performance web service interface Third party applications Commercial applications from Schlumberger, Halliburton, etc. In-house customer or research java apps 19

19 Oracle High Performance Data Management Oracle Exadata Capabilities Extreme performance for complex workloads that mix real time and static data Complex real-time data warehouse capability In-database analysis tools Benefits Optimized system for database consolidation and storage workloads Reduced operational risk and IT costs Extreme performance for data mining 20

20 Oracle High Performance Data Management Additional Components on Exadata Oracle Advanced Analytics Oracle Data Mining Automatically sifts through data to find hidden patterns, discover new insights, and make predictions Runs directly against the database Oracle R Enterprise Statistical R applications run directly against data stored in Oracle Database Oracle Spatial Spatial information can be maintained in a native Oracle Database format and shared enterprise-wide Oracle GoldenGate Real-time data integration/synchronization across multiple database instances 21

21 Oracle High Performance Data Management Oracle Exalytics Capabilities Massive parallel processing to enable more complex analytics and query rates beyond what a database can handle Support for massive data feed and complex on-demand calculations for real-time analytics Optimized memory use and intelligent cache generation Benefits Optimized analytical platform for advanced data visualization Detect exceptions for faster calculation and tighter risk management Scalable hardware architecture 22

22 Oracle High Performance Data Management Additional Components on Exalytics TimesTen Extreme high performance in-memory database OBIEE A highly scalable comprehensive user-oriented suite of enterprise business intelligence (BI) products Essbase Multi-dimensional online analytical processing (OLAP) server, with high performance calculation engine Providing a rich environment for effectively developing custom analytic and enterprise performance management applications Hyperion Financial performance management suite used in tandem with BI tools 23

23 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 24

24 Oracle High Performance Data Management Differentiators Oracle has hardware specifically engineered for real time data analysis Oracle has separate hardware engineered for optimal database performance and scale Oracle has the breadth of software offerings to bring a unified approach to these problems Oracle can do all this with familiar industry-standard components Oracle is committed to develop standards-based solutions 25

25 Oracle High Performance Data Management Benefits Faster analysis across more wells and Timely decision-making Using all available types of information assets Leveraging existing investments in petrotechnical apps Which incorporate real-time information From the most cost-effective vendors and on a Proven, familiar IT infrastructure 26

26 Oracle High Performance Data Management Oracle is the only vendor with the complete stack to deliver a High Performance Data Management solution that will enable Oil & Gas companies to deploy automated analytical processes across Reservoir Characterization, Drilling and Production in order to make optimal near real-time, tactical and strategic decisions 27

27 Outline Industry Challenges Industry Requirements Oracle Solution Value Proposition Potential Next Steps 28

28 Next Steps Options A B C Expanded Audience Functional Deep Dive Value Assessment Meet with key executives to discuss value of solution and obtain sponsorship Discover specific business requirements and map to capabilities Assess capabilities, quantify benefits and develop custom roadmap D Technical Deep Dive or Benchmark Determine technical requirements (e.g., architecture, integrations) related to the solution 29

29 30

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