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Connected Oilfield Services Market
Disrupting a $250 Billion Market, a Fragmented Ecosystem Looks at Convergence Amid Volatile Oil Prices
09-Sep-2016
Global
Market Research
MC68-01-00-00-00
EG01683-GL-MR_19021
$3,000.00
Special Price $2,250.00 save 25 %
The recent decline in oil prices has put the brakes on a few technology investments; however, it has also created a need for greater efficiency in the oil and gas sector. Most oil and gas companies are operating assets in challenging conditions across multiple regions. Ensuring operational efficiency through the greater use of technology is therefore of paramount importance, and this research service highlights future solutions that could help achieve greater efficiency.
Top 5 Things a CEO Should Know
Executive Summary
5 Trends that Define the Future of the Market
The Next Big Thing(s) in the Market
Snapshot of Top Opportunities for AI in the Oil and Gas Industry
Convergence of People, Process, and Technology Creates a Vortex of Change
Connected Oilfield Services—Game Changers and Their Impact on Future Landscape
Associated Research and Multimedia on Energy and Environment
Scope of the Study
Product Definitions
Product Definitions (continued)
Oilfield Services Definition
Oilfield Services Definition (continued)
Pressure Point 1—Asset Availability
Pressure Point 1—Asset Availability (continued)
Pressure Point 2—Cost of Core Services
Pressure Point 3—Protecting Operational Margins
Tectonic Shifts Witnessed in the Oilfield Industry
Why do Oilfields Need Smart Services?
Ecosystem—The Who’s Who of the Market
Technology Convergence Trends to Drive Out Inefficiencies
Defining the Reality of Connected Oilfield Services
Connected Oilfield Services—Deep Architecture; Wide Structure
Challenges Faced by the Oil Industry and its Connectedness
Connected Oilfield Services—Multi-level IT-OT Architecture
Connected Oilfield Services—Totally Integrated Digital Oilfield
Connected Oilfield Services—Growth Opportunities 1
Connected Oilfield Services—Growth Opportunities 2
Outcomes of Smart Oilfields—Driving Throughput Efficiencies
Industry Partnerships Drive Oilfield Efficiencies
Use Case 1—Production Efficiencies – BP + GE Predix
Connected Oilfield Services Impact Predictive Asset Management
Use Case 2—Predictive Asset Management – IBM Smart Solutions
Connected Oilfield Services Need a Pore-to-Pipeline Portfolio
Use Case 3—Asset Performance – Schlumberger + Cameron
Use Case 3—Asset Performance – Schlumberger + Cameron (continued)
Use Case 3—Asset Performance – Schlumberger + Cameron (continued)
Connected Oilfield Services Impact Production Cost Efficiencies
Use Case 4—Production Cost Efficiencies – SAP SE + Mobility
Industry Pressure Points Drive Consolidation in Oilfield Services Platforms
Elements of Digital Oilfield—Bringing Together the Siloes
Industry Challenges Fire Innovation in Oilfield Services
Implications of Platform Adoption for Oilfield Services
Platforms Play a Key Role in Connecting Oilfield Services Stakeholders
Single Platform is the New Need
Ecosystem—The Who’s Who of the Market
Ecosystem—Mergers and Acquisitions
Use Case 1—GE and its Positioning as a Full Stream Service Provider
Use Case 1—GE and its Positioning as a Full Stream Service Provider (continued)
Use Case 1—GE and its Positioning as a Full Stream Service Provider (continued)
Use Case 2—Halliburton Utilises Cloud Services to Optimise Recovery
Smart Solutions to Connect Oilfield Service Equipment
Oilfield Operators—Low Commodity Prices Challenge the Traditional Business Model and Drive New Business Models
Transforming the Business Models of Equipment Manufacturers
What Should Equipment Manufacturers Do?
Business Model Transformation Benefits to OEMs in the Oilfield
Asset Classes and Analytical Services Offered (Partial Listing)
Use Case—Chevron Monitors Performance by Predictive Maintenance
Top 5 Objectives of Oil Operators in the Short Term for Automation
Oilfield Operator Expectations from Automation Companies
Technologies and Domain Expertise Turn MAC into MIC
CAMP Index for the Automation Sector in the Market
Automation Portfolio Expansion to Drive Smart Business
Mergers and Acquisitions of Automation Companies in the Oilfield
Industry Partnerships Drive Portfolio Expansion
Use Case 1—Changing Trends – Core Automation Moving into Analytics
Use Case 1—Changing Trends – Core Automation Moving into Analytics (continued)
Use Case 2—New Market Alliances Forming – Analytics PaaS
Use Case 3—Predictive Analytics Helps Reduce Failures and Downtime
Use Case 3—Predictive Analytics Helps Reduce Failures and Downtime (continued)
IT Applications Evolution in the Oilfield Industry – AI Takes Over
The Arrival of ML and AI in Oilfield Services – Timely and Disruptive
Applications of AI and VA across the Value Chain
Business Model Transformation – from Cloud to AI
AI is the New Reality
AI Architecture in Oilfield Services
Neural Networks Become Stronger in the Oilfield
Cognitive Computing Enables Optimisation
ML Application in Oilfield Services
ML Application in Oilfield Services (continued)
Industry Partnerships Drive AI Penetration
Use Case 1—AI Assists in Reservoir Management
Use Case 2—Production Optimisation for Complex Fields
Use Case 3—Convergence Brings AI to Oilfield Services
Use Case 3—Convergence Brings AI to Oilfield Services (continued)
Use Case 4—Repsol and IBM Collaborate on Cognitive Technologies
Use Case 5—Finding New Reserves with New Technological Frontiers
AI and ML Ecosystem
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| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Manoj Shankar |
| Industries | Energy |
| WIP Number | MC68-01-00-00-00 |
| Is Prebook | No |