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Full Description
A strategic roadmap for intelligent oil and gas operations
The oil and gas sector faces mounting pressure to integrate digital technologies across exploration, production, and sustainability operations. Digital Transformation of Oil and Gas: Intelligent Fields and Workflows, written by Sami Alnuaim, former SPE President with over 30 years at Saudi Aramco, presents a structured framework for deploying adaptive, learning systems that enable autonomous decision-making beyond conventional automation.
The book details how real-time data, AI, robotics, digital twins, and emission monitoring systems combine to reshape upstream workflows. It provides strategic frameworks for enhancing operational resilience and profitability while reducing environmental impact. Coverage spans HSE management, sustainability integration, and the transition from smart fields to fully intelligent field architectures driven by integrated digital technologies.
The book also covers:
Intelligent field concepts that move beyond automation toward adaptive systems capable of autonomous, data-driven decision-making across operations
Strategic frameworks designed for executives seeking to align digital investments with profitability, sustainability, and long-term operational resilience
Technical coverage of AI, robotics, and digital twin applications integrated into exploration, production, and reservoir management workflows
Emission monitoring and sustainability strategies that support environmental compliance while maintaining production efficiency across field operations
Practical insights connecting academic rigor with real-world implementation drawn from decades of upstream petroleum engineering leadership
Designed for process engineers, chemical engineers, mechanical engineers, geologists, executives, and policymakers, this book provides the technical depth and strategic perspective needed to lead digital transformation initiatives across upstream oil and gas operations and intelligent field deployments.
Contents
Contents
About the Author xi
Preface and Acknowledgments xiii
1 Evolution of Digital Oil Fields (DOFs) 1
1.1 Defining Smart and Intelligent Wells and Fields 2
1.2 The Early Days: Conventional Wells and Analog Fields' Operations 4
1.3 The 1980s-1990s: Digital Journey Starts 5
1.4 The 2000s: Birth of the Digital Oil and Gas Fields 6
1.5 The 2010s: Digital Maturity and AI Emergence 6
1.6 The 2020s: Smart and Intelligent Fields Boom 8
1.7 Challenges Along the Way 9
2 DOF Strategic Objectives 11
2.1 Increasing Hydrocarbon Discovery and Recovery 12
2.2 Optimizing Production 12
2.3 Improving HSE and Sustainability Performance 13
2.4 Reducing Development Cost 14
3 DOF Infrastructure and Asset Management 21
3.1 Intelligent Fields Architecture Overview: From Edge to Enterprise
System 22
3.2 DOF Asset Management 73
4 DOF Financial Aspects and Business Planning 79
4.1 Justification for DOF Investment 80
4.2 DOF Example 84
4.3 DOF Business Planning 87
5 DOF Organizational Change and Workforce Transformation 91
5.1 Importance of Organizational Transformation 92
5.2 Cultural Shifts in Smart Field Organizations 92
5.3 Evolving Roles in the Digital Oil Field 93
5.4 Workforce Development and Digital Upskilling 93
5.5 Change Management Strategies 94
5.6 Leadership in the Age of Intelligent Fields 94
5.7 Diversity, Inclusion, and the Digital Workforce 95
5.8 Organizational Structures for Smart Field Integration 95
5.9 Multidisciplinary Asset Team/Management in the DOF 96
5.10 Future Outlook: The Intelligent Workforce 98
6 DOF Cybersecurity, Business Continuity, and Disaster Recovery 101
6.1 DOF Cybersecurity 102
6.2 DOF Business Continuity and DR 105
6.3 Cybersecurity in Action: Examples of Energy Real-world Incidents 108
6.4 DOF Risk Management 109
7 Enterprise DOF Workflows—Field Operation and Production
Engineering 111
7.1 Well Integrity Using DOF Technologies 112
7.2 Well Production Optimization (ICVs) and DOF Technologies 117
7.3 Monitoring and Optimizing Electric Submersible Pumps 121
7.4 Virtual MPFMs in DOFs 126
7.5 Water Injection Monitoring and Injectivity Analysis in DOFs 135
8 Enterprise DOF Workflows—Reservoir Monitoring and Well Testing 143
8.1 Real-time Reservoir Management 144
8.2 Real-time Well Testing in DOF 149
8.3 Reservoir Pressure Management: Injection/Production Ratio 152
8.4 Rate Compliance Monitoring 154
8.5 Dynamic Reservoir Pressure Monitoring 155
8.6 Monthly Production and Injection Strategy 156
9 Enterprise Strategic DOF Workflows 159
9.1 Surface and Subsurface Facilities Debottlenecking 159
9.2 DOFs and Reservoir Well Placement (Geo-steering) 161
9.3 DOF Operational Efficiency, HSE, and Sustainability Performance 165
9.4 Data Analytics and ML in DOF 171
10 DOF and Corporate Management 177
10.1 The Executive Perspective on DOF 178
10.2 Strategic KPI Domains Monitored via Digital Oil Fields 178
10.3 Digital Infrastructure Enabling Executive Monitoring 181
10.4 Best Practices for Executive-level DOF Utilization 181
10.5 Benchmark Study of Several International Oil Companies 182
10.6 Challenges and Mitigation Strategies 183
11 DOF Future: Toward Fully Autonomous and Sustainable DOF 187
11.1 From Smart to Autonomous Fields 188
11.2 The Role of AI, ML, and Complex Analytics 188
11.3 The Rise of Industrial Digital Twins at Scale 189
11.4 Real-time ESG and Carbon Circular Economy 189
11.5 Integration with Renewable Energy and Hybrid Fields 190
11.6 Quantum Computing and Next-Gen Simulations 190
11.7 Robotics and Drones in DOF Automation 191
Appendix A: Typical Large-Scale DOF Implementations 197
Appendix B: DOF AI Case Study: Electrical Submersible Pump (ESP)
Failure Prediction 203
Appendix C: DOF Readiness Index—A New Proposed Framework for Smart
Field Transformation 209
Glossary of Terms 217
Index 221
