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This book gives a thorough rundown of the ways Artificial Intelligence (AI) is changing the Oil and Gas (O&G) sector. It discusses how AI can be integrated into upstream, midstream, and downstream operations, with an emphasis on applications like as production optimization, smart drilling, seismic data processing, and predictive maintenance. The book discusses essential AI technologies such as Machine Learning, Computer Vision, Natural Language Processing, and Digital Twins. It also looks at how AI may improve sustainability, safety, emissions monitoring, and legal compliance. The revolutionary potential of Generative AI (GenAI) and Large Language Models in automating tasks, analysing intricate data, and facilitating real-time decision-making is highlighted in a chapter. In addition to exploring future trends, workforce change, and the strategic path ahead for AI adoption in O&G, the book portrays AI as a crucial driver of innovation, efficiency, and sustainability in the energy sector through real-world insights and forward-looking conversations.
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Pankaj Verma, Krishna Gandhi
Pankaj Verma is a distinguished expert in Artificial Intelligence and Data Science, with over 13 years of experience delivering high-impact solutions across the energy, infrastructure, and digital transformation sectors. He specializes in building scalable AI systems through advanced machine learning, time series forecasting, large language models, and Generative AI technologies. His work includes building RAG-based knowledge assistants, automating asset inspections, and creating AI-driven alert systems that enhance global operations. His technical expertise encompasses Python, Scikit-learn, XGBoost, Lang Chain, Plotly, Azure ML, and GPT-based architectures, along with deep capabilities in computer vision, MLOps, and natural language processing. An advocate for ethical AI and cross-functional collaboration, he has earned global recognition for his impactful solutions. Pankaj holds an MBA from IIM Bangalore and a B. Tech from IIT Roorkee. He continues contributing to industrial AI through applied research, technical excellence, and thought leadership.
Krishna Gandhi is a seasoned technology expert with over 15 years of experience specializing in Artificial Intelligence, Automation, and Quality Assurance across the Energy, Mobile Applications, and Network domains. Her core expertise lies in integrating AI and ML with Geographic Information Systems (GIS) and quality engineering to deliver scalable, intelligent, and user-centric enterprise solutions. She is an expert in big data analytics, Python, and cloud computing platforms such as AWS, GCP, and Azure. Krishna is renowned for her accuracy, inventiveness, and capacity to convert intricate technological systems into quantifiable business results. She has a bachelor's degree in electronics and communication engineering from Visvesvaraya Technological University and a master's degree in information systems from Illinois State University. Krishna, who holds certifications in Python and Splunk, keeps developing her knowledge of AI and GIS technologies with an emphasis on long-lasting, significant solutions.
