High Performance Data Management For Upstream Oil & Gas

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1 High Performance Data For Upstream Oil & Gas David Cheng Director, Oil and Gas Key Account 1

2 Outline Industry Challenges Oracle Solution Use Cases 2

3 Challenges Reservoir Characterization Overwhelmed Drilling No More Easy Stuff Production Do More with Less Enterprise Data Store Massive Amounts of Data 3

4 Solution Requirements and Benefits Would You Agree that If you could implement these requirements, A mechanism to analyze massive real-time data streams you would be able to achieve these benefits? Faster analysis across more wells and Which makes smart recommendations Based on the totality of the knowledge about the asset Timely decision-making Using all available types of information assets Created using familiar petrotechnical collaboration tools Including traditional interpretation, financial and operational data Using widely-accepted standards With a low total cost of ownership Leveraging existing investments in petrotechnical applications Which incorporate real-time information From most cost-effective vendors On a proven, familiar IT infrastructure 4

5 Data Flow from s to Oracle Solution The Oracle High Performance Data Solution will leverage the existing data acquisition instrumentation layer RTU RTU Analog to Digital MTU/ DCS/ SCADA Drilling Data Production Data Process Control or Data Acquisition System Rigsite Aggregator Protocol TBD Historian WITSML PRODML Oracle High Performance Data Solution RTU = Remote Terminal Unit MTU = Master Terminal Unit DCS = Distributed Control System 5

6 Oracle High Performance Data 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 Solution for Upstream RTU RTU MTU/ DCS/ SCADA Drilling Data Production Data Rigsite Aggregator Protocol TBD Historian Real Time Drilling 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 6

7 Oracle High Performance Data Oracle Exalogic Elastic Cloud Oracle Exadata Oracle Exalytics Additional Components on Exadata 7

8 Oracle High Performance Data Additional Components on Exadata 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 and synchronization component across multiple database instances 8

9 Oracle High Performance Data Oracle is the only vendor with the complete stack to deliver a High Performance Data 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 9

10 Use Case Interactions Interaction Type Product Connectors / Configurations Enterprise Messaging Service Web Services, JAVA / JSP Real Time Data Real Time Data CEP Real Time Data WITSML Client Real Time Data Professional Petroleum Data WITSML Connector WITSML OSB Service Real Time Data Real Time Data Real Time Data Professional Petroleum Data BAM Database INT Log Viewer 10

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