Enabling Data Intelligence in the Trusted Cloud. Oil&Gas

Transcription

1 Enabling Data Intelligence in the Trusted Cloud Oil&Gas

2 Microsoft in Oil & Gas

3 Financial Srvcs Retail Manufacturing & Resources Communications & Media Public Sector Industry-focused, Azure-based Line of Business Solutions Process & Resources Predictive and Condition-Based Maintenance Connected Pharma Digital Oil field Research Analytics Agro Analytics Simulations in oil, gas, mining: seismic analyses Supply chain optimization Pricing optimization Smart meter data analysis Field Service Video Surveillance and Security Regulatory Compliance Management Discrete Connected Operations Connected Vehicle Simulation and Engineering (HPC) Predictive and Condition-Based Maintenance Power & Utilities Smart Metering / Microgrid Conditional Based Maintenance of Utility Assets Smart Meter Data Analysis (SMDA) for pricing optimization SMDA for demand-driven power generation management Field Service Insurance Smart Home Telematics/Usage-Based Insurance Risk modeling Core system extension - Mobile field agents Cloud storage Core systems Banking & Capital Markets Compute grids for risk Market data analytics Push notifications (B2B, B2C, B2E) Archiving client records and transactions Media Advertising revenue optimization Video on Demand Live events /Linear Video Producer Dailies Rendering Cloud Media Infrastructure Telco Connected Devices Platform Content Delivery / Video for Telco Field Service Rapid New Service Creation & Launch LOB applications Retail In-Store Traffic Management Retail Analytics Platform Digital Signage Retail Store Employee Identity Management Retail Omnichannel CPG Connected Operations Supply chain, production, pricing optimization Administration Condition-Based Maintenance Connected lamp posts and parking meters Tax fraud detection Social Sentiment Analysis Live events/linear Video Tax Filing (Revenue & Finance Platform Scenario) Sales tax collection Citizen services portal E-Voting Vital Statistics Registry Open Data Public Safety Connected traffic lights Social Sentiment Analysis Law Enforcement Video Archiving Disaster & Crisis Management Transportation Sensor-Driven Transport Condition-Based Maintenance Video Archiving for Transportation Defense Public Affairs Military Training & Education Military Retail Exchange Stores/Commissaries Health Patient monitoring Patient billing analytics Patient record archiving Medical Imaging storage LOB (EMR, Case Mgnt, Clinical research)

4 Microsoft Azure Intelligent Systems Service Oil & Gas 1. Exploration 2. Development Find new hydrocarbon reservoirs quicker with seismic data uploaded to the cloud and prepared for analysis Operations Control Center Consolidate data from surveys, drill logs, and external sources to generate advanced reservoir models and production forecasts NORTH SHORE PRODUCTION Production Manager Integrate all upstream data onto a unified platform to facilitate analytics, information sharing, and organizational transition 4. Production 3. Drilling Geologist Utilize advanced 3D and 4D visualizations based on analytic algorithms to model subsurface geology Maximize recovery by monitoring real-time production data and generating alerts for conditional maintenance needs Combine real-time drilling and seismic data to optimize drilling trajectories and recovery potential, while minimizing environmental risk Onsite personnel Establish real-time communication and automatically publish events and alarms to the field to guide and protect onsite personnel and assets

5 Explorations & Production Underpinned with Data Well Site Potential Reservoir Exploitation Drilling & Production Optimization

6 Drilling & Completions Underpinned with Data Real-time Data Predictive models Maximum performance

7 Upstream Oil & Gas Processes Reimagining Data Analytics Improving insight with dramatically higher data collection volume Business goals Improve oil-rig operations with insight from higher frequency data Reduce Outages By Predicting Failure Improve Productivity Results Reduce Costs (Including IT Costs) Tactics Azure-Hosted Deployment PPDM on SQL Server 2016 Automated Tier-ing of Storage R + in memory processing AzureML Results Higher load speeds and analyzing larger data volumes, faster. identifying issues sooner Intelligence is co-located with Data Faster Time to Value We live in the age of data, and the ability to extract actionable intelligence from data is driving a fundamental transformation in how we live, work and play. Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft.

8 Cloud Ubiquity 2020 If you re resisting the cloud because of security concerns, you re running out of excuses. The question is no longer: How do I move to the cloud? Instead, it s Now that I m in the cloud, how do I make sure I ve optimized my investment and risk exposure? By 2020 clouds will stop being referred to as public and private. It will simply be the way business is done and IT is provisioned.

9 Business Agility The Microsoft Cloud Value Proposition >80% of new apps in the next 5 years will be distributed/deployed on clouds The strategic focus in the cloud will shift from infrastructure to application platforms HIGH Dev/Test Cloud Platform IoT/Connected Devices/Operations: Conditionbased/predictive maintenance Connected Oil/Gas/Mine Fields Drilling Optimization Regulatory compliance management Big Data and HPC: Seismic Data Storage and Processing Reservoir Simulation Supply chain/ production/ pricing optimizations Video surveillance and security Cloud Hosting 34% of CIOs say technology as a service (cloud) will have the most profound effect on the CIO role in the future LOW Storage & Back-up LOW Financial Impact HIGH Business IT

10 Global datacenter footprint The Oil & Microsoft Gas Colocation Cloud Value Expanding Proposition Global Reach 100+ Datacenters in over 40 countries

11 SQL Server 2016: Everything built-in built-in built-in built-in built-in built-in $2, SQL Server SQL Server SQL Server #1 #2 #3 Oracle is #5 $480 $120 Microsoft Tableau Oracle SQL Server Oracle MySQL SAP HANA TPC-H Self-service BI per user at massive scale In-memory across all workloads Consistent experience from on-premises to cloud The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. National Institute of Standards and Technology Comprehensive Vulnerability Database update 10/2015 TPC-H 10TB non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. 11

12 In-database Advanced Analytics Build intelligent applications with SQL Server R Services Advanced Analytics R built-in to your T-SQL NEW Mission critical OLTP R built-in to SQL Server NEW Real-time operational analytics without moving the data Open Source R with in-memory & massive scale - multi-threading and massive parallel processing NEW

13 Cortana Analytics Suite Transform data into intelligent action

14 Using past data to predict the future Machine Learning

15 Powerful Visualization - Power BI

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17 Power BI in the Cloud Developer 1,N Microsoft Azure subscription 1,N Workspace collection Name Admin Users Azure SQL Database Endpoints Keys Gateways Credentials Manually or programmatically provision workspaces Create datasets and reports Embed reports in your app Control refresh behavior and credentials Azure SQL Data Warehouse on Azure HDInsight Geo Location Tags 1,N Workspace Name Reports Datasets Embed Tags Your app End users Create Embed Deploy

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