Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry 1st Edition

Capture the future of energy with Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry, 1st Edition by Manan Shah, Ameya Kshirsagar, and Jainam Panchal. This authoritative guide bridges cutting-edge AI/ML techniques and real-world oil & gas challenges, delivering practical strategies for exploration, production, reservoir management, drilling optimization, and downstream operations.

Explore clear explanations of algorithms, models, and workflows—paired with industry-focused examples that translate theory into measurable gains. Readers will find approachable chapters on seismic interpretation, predictive maintenance, well-log analysis, production forecasting, and supply-chain optimization, all tailored to succeed in diverse markets from the Middle East and North America to India and Southeast Asia.

Written for petroleum engineers, data scientists, managers, and students, this volume emphasizes actionable tools and implementation pathways. Learn how machine learning improves asset reliability, reduces operating costs, accelerates decision-making, and supports sustainability initiatives across upstream and downstream segments.

Practical, timely, and globally relevant, this 1st edition equips professionals with the knowledge to deploy AI solutions ethically and efficiently within complex field environments. Whether you’re building models, evaluating vendors, or leading digital transformation, this book is an essential resource for staying competitive in today’s data-driven energy sector.

Gain the technical insight and operational confidence to make AI/ML work for your organization—add Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry to your professional library today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.