Elena Terenzi. Technology Advisor for Big Data in Oil and Gas Microsoft

Transcription

1 Elena Terenzi Technology Advisor for Big Data in Oil and Gas Microsoft

2 Oil&Gas Landscape How Microsoft is helping companies in Oil&Gas being successful Microsoft solutions in Oil&Gas space

3

4 Start reimagining Innovation Globalization Pricing strategy What new capabilities will be required? Complex regulation Operational Excellence and Sustainability Changing demographics What opportunities & challenges do these create?

5 5

6 Real Time Anomaly Detection and Maintenance Implementing Complex Event Processing for Intelligent Field Business goals Maximize equipment uptime and minimize maintenance efforts Anomaly detection and real time monitoring of equipment Tactics Install real-time monitoring systems at wells Perform intelligent field processing analyses in real time Results Handle large amounts of data streams in real-time Perform condition based monitoring in real time Detect well ahead of time possible failures Technology SQL Server 2012 Streaminsight Saudi Aramco is successfully using SQL Server Streaminsight for Intelligent Field in areas such as data cleansing, pattern detection and event driven computation providing engineers with accurate information in real time. 6

7 Reimagining Data Analytics Improving insight with dramatically higher data collection volume Business goals Improve drilling efficiency and service quality Increase competitiveness lowering billing rates Tactics Predictive analytics and near-real-time insight in business operations Improve safety with alarms implementation Results Improved oil-rig operations with insight from higher frequency data (60x) Identify issues sooner Technology SQL Server 2012 APS appliance Microsoft BI Azure ML The company is taking advantage of the power of SQL 2012 Analytics Platform System and is using the complete Microsoft BI stack. To further optimize efficiency, the company is also evaluating Azure Machine Learning to collect and analyze equipment data.

8 Big Data scenarios we are seeing at customers Product / Service Optimization Green/smart building Predictive Maintenance Pricing Optimization Cyber crime prevention 8

9 Reimagining Data Collection Improving asset performance with IoT through remote management Business goal Provide regular monitoring and periodic engine rebuilds for fracking trucks operating in extreme and isolated environments Tactics In partnership with Rockwell Automation, M.G. Bryan easily collects remote real-time data, safely stores it on Windows Azure, creates maintenance alerts, service and parts delivery orders Results Improved insight increases asset and staff productivity Reduced project risk & higher customer s ROI Maximized asset uptime through equipment monitoring Scalability for expanding fleets Technology SQL Server 2014 Microsoft Azure Leveraging the cloud, we can cost-effectively keep tabs on our equipment and help customers maximize asset uptime, dramatically improving their return on investment. Matt Bryan, President, M.G. Bryan

10 Microsoft Azure IoT 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

11 Sustainability A smart campus Business goals optimize energy consumption across 125 buildings on 88 acres with 5,000,000 data ports and 30,000 pieces of equipment Tactics IoT meets Big Data: automated data collection and processing in cloud Analyze and report for action Results Energy savings of 6-10%/yr Payback in less than 18 mo 48% of faults corrected within 60s Improved technician efficiency Technology Azure HDinsight Power BI Azure ML Commercial buildings consume 40% of world s energy. Microsoft is helping building managers across the world deploy the same solution

12 12

13 Seismic storage and processing in Azure Business goals Lower cost of seismic data at rest Quickly access and find data Integrate siloed applications Tactics Use cloud to easily access, find and process seismic data Enable analytics combining with other data sources Results Half of the cost of data on tape More insights out of reservoirs Higher recovery rates Technology Azure Storage and compute Azure HDInsight More than 1 Exabyte of seismic data under storage today, increasing by 30% each year All of top 40 oil & gas companies are already storing some data on the cloud Accenture Research 13

14 Driving Revolution(ary) Analytics Recent news and directions moving forward Bring R to even more enterpises Reduce skills gap in advanced analytics enterpriseclass platform for analytic solutions use advanced analytics within Microsoft data platforms Microsoft in Open Source Space </> 14

15 15

16 16