Top 5 Things a CEO Should Know

Executive Summary

Oilfield Services Market—5 Industry Trends

Connected Oilfield Services Market—The Next Big Thing(s)

O&G Industry—Snapshot of Top Opportunities for AI

Convergence of People, Process, and Technology

Connected Oilfield Services—Game Changers

Mega Trends to Micro Booms

Convergence of Mega Trends

Micro Booms—Actionable Insights Framework

Scope of the Study

Product Definitions

Product Definitions (continued)

Business Issues

Oilfield Services—Definition

Oilfield Services—Definition (continued)

Pressure Point 1—Asset Availability

Pressure Point 1—Asset Availability (continued)

Pressure Point 2—High Costs of Core Services

Pressure Point 3—Protecting Operational Margins

Oilfield Services Market—Tectonic Shifts

Smart Oilfield Services

Ecosystem—The Who’s Who

Growth Opportunities

Technology Convergence Trends to Drive Out Inefficiencies

Connected Oilfield Services—Defining Reality

Connected Oilfield Services—Deep Architecture & Wide Structure

Challenges Faced by the O&G Industry

Multilevel IT-OT Architecture

Totally Integrated Digital Oilfield

Growth Opportunities

Growth Opportunities (continued)

Outcomes of Smart Oilfields—Driving Throughput Efficiencies

Partnerships Driving Oilfield Efficiencies

Use Case 1—Production Efficiencies: BP + GE Predix

Connected Oilfield Services Impacting Predictive Asset Management

Use Case 2—Predictive Asset Management: IBM Smart Solutions

Need for 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 Impacting Production Cost Efficiencies

Use Case 4—Production Cost Efficiencies: SAP SE + Mobility

Strategy and Insights

OFS Platforms—Pressure Points Driving Consolidation

Elements of Digital Oilfield—Bringing Together the Siloes

Key Factors Driving Innovation

Implications of Platform Adoption

Stakeholders Platform

Single Platform—The New Need

Ecosystem—The Who’s Who

Ecosystem—Mergers and Acquisitions

Use Case 1—GE: Positioned as a Full Stream Service Provider

Use Case 1—GE: Positioned as a Full Stream Service Provider (continued)

Use Case 1—GE: Positioned as a Full Stream Service Provider (continued)

Use Case 2—Halliburton: Utilizing Cloud Services to Optimize Recovery

Smart Solutions to Connect the Oilfield Services Equipment

Oilfield Operators—Key Factors for Business Model Transformation

Transforming Business Models of Equipment Manufacturers

What Should Equipment Manufacturers Do?

Business Model Transformation Benefits to OEMs

Asset Classes and Analytical Services Offered (Partial Listing)

Use Case—Chevron Monitoring Performance by Predictive Maintenance

Top 5 Objectives of Oil Operators for Automation

Oilfield Operator Expectations from Automation Companies

Technologies and Domain Expertise—Turning MAC into MIMC*

Automation Portfolio Expansion to Drive Smart Business

M&A of Automation Companies in the Oilfield

Partnerships Driving Portfolio Expansion

Use Case 1—Core Automation Moving into Analytics

Use Case 1—Core Automation Moving into Analytics (continued)

Use Case 2—New Alliances Forming in OFS: Analytics PaaS

Use Case 3—Predictive Analytics Reducing Failures

Use Case 3—Predictive Analytics Reducing Failures (continued)

Evolution of IT Applications—AI Taking Over OFS

Arrival of AI & ML in Oilfield Services—Timely & Disruptive

Applications of AI and Virtual Assistants Across the Value Chain

Business Model Transformation—From Cloud to AI

Artificial Intelligence—The New Reality

Artificial Intelligence Architecture in Oilfield Services

Neural Networks—Stronger in the Oilfield

Cognitive Computing Enabling Optimization

Machine Learning Application in Oilfield Services

Machine Learning Application in Oilfield Services (continued)

Partnerships Driving Penetration of Artificial Intelligence

Use Case 1—AI Assists in Reservoir Management

Use Case 2—Production Optimization for Complex Fields

Use Case 3—Convergence Bringing AI to Oilfield Services

Use Case 3—Convergence Bringing AI to Oilfield Services (continued)

Use Case 4—Repsol-IBM Collaboration on Cognitive Technologies

Use Case 5—Finding New Reserve with New Technological Frontiers

Artificial Intelligence & Machine Learning Ecosystem

Top Recommendations

Legal Disclaimer

Micro Boom Research Methodology

List of Abbreviations

Additional Sources of Information on Connected Oilfield Services

Learn More—Next Steps