Industry Trends & Challenges in Oil & Gas

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1 Industry Trends & Challenges in Oil & Gas Abbas Mehrabian Principal Consultant, Strategist HP Information Management & Analytics

2 HP Supports the Oil & Gas sector of tomorrow 2

3 Industry Trends & Challenges Supply and Demand Changes Changing Reserves Pricing Volatility Environment WW Demand Shifting Transportation Challenges Modernization Application Modernization Oil Sand Instrumentation Big Data Management Technology Innovation Right Resources Government Influence Changing Regulation Federal & Provincial Regulations Ownership & Stewardship Security Push for Profit Lifting Cost Reduction CAPEX spending Profit Modeling Managing Risk

4 Supply and Demand Manage and track data Filling the Filling the Information Pipeline How to address React to market pricing changes and adjust exploration and production activities accordingly Monitor environmental sensitivity Support changes in domestic and international demand Optimize transportation challenges in extreme environment Solutions High speed data capture, analytics and processing - Contextual integration of structured and unstructured data Data visualization toolsets for capture & analysis Information Management & Analytics Optimized Big Data utilization 4

5 Government Influence Tracking complex regulatory environments How to address Changes in local, regional, and federal laws Tracking appropriate royalties and payments ediscovery requirements Maintaining safe operating environments International regulations Environmental impact Solutions Information Management & Analytics portfolio Autonomy ediscovery solution Content management Workforce tracking solutions Records capture and management Predictive analytics

6 Security Managing Physical and Electronic Assets How to address Unauthorized changes to sensitive areas Unauthorized access to sensitive areas Digital disruption Data loss Privacy Protection of corporate IT Solutions Information Management & Analytics portfolio Surveillance solutions & facial recognition Video analytics Voice analyzer Physical environment recognition Electronic asset access and tracking Backup and restore Information fabric for risk, compliance, and insight

7 Profitability Reduce costs and increase production How to address Improve forecast reliability Lifting costs Time to first oil Maintenance costs Cycle time reduction Ageing workforce Dry hole reduction Business and operational risk Solutions Information Management & Analytics portfolio Forecasting analytics Drilling and production analytics Supply chain analysis Just in time training Well data management High speed data capture, analytics, and processing Information fabric for risk, compliance, and insight

8 Modernization Technology and process updates Moonshot How to address Data overload excessive time spent finding structured and/or unstructured information Inflexible applications not adaptable for today s business Excessive support costs for data analysis and data visualization Analysis and support for unconventional resources Decision making challenges due to insufficient and/or poor data Big Data Solutions Information Management & Analytics portfolio Meaning based search integrating structured and unstructured information Applications modernization & rationalization Workforce mobilization solutions Real time data analytics Information Management & Analytics 8

9 Data Explosion Big Data Challenges Volume Complexity Big Data Velocity Variety Volume Control systems that generate 1,000 s of transactions per minute Devices and sensors that generate TB s of data per hour Seismic Data Acquisition Variety Operational Data (Seismic Processing, Interpretations, ) Trading Data Structured, Un-Structured, and Semi-Structured Data Velocity Seismic, Interpretation, Simulation, HF sensor data, Trading Audio and Video files that are used for recording and videos Production Drilling Exploration Processing Trading Complexity Calculated values and measurements Ability to get analytics from HF Real Time Data (Drilling, Production, etc) The need to integrate data across multiple vendors and systems Digital Oil Fields Increasing need to get analytics from search systems 9

10 Leveraging Data Explosion Harness the Power of Information Empowering enterprise to leverage 100% of information To Drive faster intelligence business decisions Return on Information: Time to Value Exploration Delineation Development Divestiture Information Infrastructure Capture Store Replicate Scale Information Management Manage Secure Govern Leverage Information Insight Search Analyze Understand Act 10

11 Information Management & Analytics Combining the art & science of business Maintenance, support & run Hybrid delivery Art of the Possible Connected intelligence Business Science Center of Excellence Discovery & assessment Strategy & planning Solution design & implementation Management of data and wealth of information Integration of common and disparate data sets Collection, mining, and correlation of historical data Integration of structured and unstructured data 11 Reducing time to first oil Increasing the productivity of assets across their lifecycles Applying advanced business intelligence and embedded analytics Improving planning and forecasting results Right information to right people at the right time

12 Thank You Outcomes that Matter

13 Big Data applied to Oil & Gas Domains where benefits can be realized Supply/Demand: Modernization: Gov. Influence: Security: Profitability: Monitor environmental sensitivity Manage increasing amounts of data associated with production activities React to market pricing changes and adjust exploration and production activities accordingly Manage increasing amounts of data associated with Drilling activities Support changes in domestic and international demand Data overload excessive time spent finding structured and/or unstructured information Inflexible applications not adaptable for today s business Integrated Asset Models Decision making challenges due to insufficient and/or poor data Conventional & Unconventional resources (shale gas, tar sands) Data Quality Changes in local, regional, and federal laws Tracking appropriate royalties and payments ediscovery requirements Maintaining safe operating environments HSE International regulations Environmental impact Unauthorized changes to sensitive areas Unauthorized access to sensitive areas Digital disruption Data loss Privacy Protection of corporate IT Improve forecast reliability Lifting costs Time to first oil Maintenance costs Cycle time reduction Ageing workforce Dry hole reduction Business and operational risk Retail operations Loyalty

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