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Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies
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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 is a comprehensive guide that provides practical understanding of how machine learning can be applied to oil and gas operations.
The book covers all aspects of a data science or machine learning project, including managerial parts that are often the cause of failure.
Real-life case studies demonstrate the use of predictive maintenance, soft sensing, and forecasting in the industry.
This guidebook will lead readers through the journey of a data science project in the oil and gas industry, circumventing pitfalls and articulating business value.
With this book, readers will gain practical understanding of machine learning used in oil and gas operations, learn change management skills, and understand the workflow of a full-scale project.
The book also helps readers understand the terminology, technology, and skills needed to apply machine learning to oil and gas operations.
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