<p><i>Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies</i> 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. </p><p>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.</p><br><br><ul><li>Helps readers gain a practical understanding of machine learning used in oil and gas operations </li><li>Presents change management skills that will help readers gain confidence in pursuing new
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