Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. Reviews the use and applications of AI in energy transition of the oil and gas sectorsProvides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowchartsShowcases the successful implementation of AI in the industry (including geothermal energy) INDICE: 1. Artificial Intelligence (AI) Overview2. Machine Learning (ML)3. Classification4. Regression5. Clustering6. Semi Supervised Learning Methods7. Modern Machine Learning Methods8. Reinforcement Learning9. Deep Learning10. AI Applications in Energy Transition and Decarbonization11. Future TrendsAppendicesA. Statistical Performance IndexesB. Python Programming IntroductionC. Case Studies Data BaseD. Structured Query Language (SQL) Basics

• ISBN: 978-0-443-24010-2
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/08/2024
• Nº Volúmenes: 1
• Idioma: Inglés