Authors

Shashi Bhushan (Universiti Teknologi Petronas, Malaysia), Fasee Ullah (Universiti Teknologi Petronas, Malaysia), and Hilmi Hasan (Universiti Teknologi Petronas, Malaysia)

• ISBN: 9798337354576
• Published: Projected release date: December 2025 (Copyright © 2026)
• Format: Softcover (POD) / E-Book / Hardcover
• Language: English
• Publisher: IGI Global Scientific Publishing
• Printed-On-Demand

Description

The convergence of artificial intelligence (AI) and blockchain is reshaping the oil and gas industry by improving operational performance, supporting data-driven decision-making, and enabling secure, decentralized information management. As companies face pressure to reduce environmental impact and increase transparency across complex supply chains, these technologies provide practical tools to enhance efficiency, sustainability, and trust. This book explores how AI and blockchain strengthen supply chain transparency, reduce costs, and improve overall performance in the oil and gas sector.

Key Features

• Explores real-world AI and blockchain use cases for oil & gas operations and decision-making
• Covers predictive maintenance, monitoring, and operational intelligence for upstream environments
• Addresses transparency, traceability, and automation through blockchain-based supply chain management
• Includes emerging topics such as large language models (LLMs), edge intelligence, and digital transformation

Coverage

• AI Fundamentals
• Artificial Intelligence (AI)
• Blockchain
• Carbon Compliance
• Datasets
• Digital Transformation
• Energy Governance
• Energy Operations
• Gas Industry
• Intelligent Systems
• Large Language Models
• Machine Learning
• Neural Chains
• Oil Industry
• Supply Chain Transparency

About the Authors

The editors are affiliated with Universiti Teknologi Petronas (Malaysia). One of the editors, Fasee Ullah, has an academic background in computing and has published widely in research venues, with interests spanning networked systems, data analytics, and intelligent technologies.

Table of Contents

1. A Machine Learning-Based Fake News Classification for the Oil and Gas Industry Using Diverse News Datasets
2. AI-Blockchain Synergy in Oil and Gas: Driving Digital Transformation Across Exploration to Distribution
3. Digital Transformation in Oil and Gas: AI Fundamentals and Applications in Energy Upstream Operations
4. Enhancing Transparency and Efficiency: Blockchain-Based Supply Chain Management and Automated Trade Finance in Oil and Gas
5. Harnessing the Synergy of AI and Blockchain in Energy Toward Hybrid Intelligent Systems
6. Integrating AI and Blockchain for Predictive Maintenance and Supply Chain Transparency in Upstream Oil Operations
7. Integrating Large Language Models and Blockchain Technology for Digital Transformation in the Oil and Gas Industry: Enhancing Efficiency and Transparency in Operations
8. Integration of Artificial Intelligence and Blockchain for Hybrid Intelligent Systems With Innovations, Applications, and Future Directions: AI and Blockchain Convergence in Hybrid Intelligent Systems
9. Monitoring Oil and Gas Using Edge Intelligence and IoT for Remote Field Operations
10. Self-Sovereign Identity in Energy: A New Era of Workforce

Why buy this book?

• Provides a practical roadmap for AI + blockchain adoption in oil & gas operations
• Supports digital transformation, transparency, and compliance goals
• Useful for professionals, researchers, and academic libraries building energy-tech collections
• Bridges operations, governance, and emerging intelligent systems (LLMs, edge/IoT)

Keywords

AI, blockchain, oil and gas, energy operations, digital transformation, supply chain transparency, predictive maintenance, LLMs, edge intelligence, IoT, smart contracts, carbon compliance

Target Audience

Oil and gas professionals, energy operations managers, digital transformation leaders, data scientists, engineers, researchers, technology developers, academic libraries

Genre

Energy, Oil & Gas, Artificial Intelligence, Blockchain, Digital Transformation

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