Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Bangert, Patrick

137,36 €(IVA inc.)

Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies explains critical facets around machine learning that are specifically tailored to oil and gas. Practical in its approach, this reference provides a chapter devoted to the early career engineer that is just starting in the industry. It then builds to a full-scale project that is supported by real-world case studies from various industry and academic contributors. Lessons learned and technology drivers are also discussed, creating a path for future engineers to apply. Rounding out with a glossary, this book delivers a reference that cuts through the hype to help today's petroleum engineers understand machine learning and where it can benefit their operations. Helps readers gain a practical understanding of machine learning used in oil and gas operations Presents change management skills that will help readers gain confidence in pursuing new technologyProvides the workflow of a full scale project and where machine learning is and isn't impactful INDICE: 1. Data Science, Statistics and Time-Series2. Machine Learning3. Introduction to Machine Learning in O&G4. Data Management from the DCS to the Historian5. Designing the Business Case6. Project Management for an ML Project7. Choosing the Right Methods and Tools (KPI on how to compare them)8. Integration of ML into Plant Architecture9. Quantification of Added-Value (benefit and limitations)10. Case Studies

  • ISBN: 9780128207147
  • Editorial: Gulf Professional Publishing
  • Encuadernacion: Rústica
  • Páginas: 300
  • Fecha Publicación: 01/01/2021
  • Nº Volúmenes: 1
  • Idioma: Inglés