Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /: best practices, tools, and case studies. (2021)

• Record Type: Book
• Further Information: Note: Edited by Patrick Bangert.
• Editors: Bangert, Patrick
• Contents: 1. Introduction; 2. Data Science, Statistics, and Time-Series; 3. Machine Learning; 4. Introduction to Machine Learning in the Oil and Gas Industry; 5. Data Management from the DCS to the Historian; 6. Getting the Most Across the Value Chain; 7. Getting the Most Across the Value Chain; 8. The Business of AI Adoption; 9. Global Practice of AI and Big Data in Oil and Gas Industry; 10. Soft Sensors for NOx Emissions; 11. Detecting Electric Submersible Pump Failures; 12. Predictive and Diagnostic Maintenance for Rod Pumps; 13. Forecasting Slugging in Gas Lift Wells
• Publisher Details: Amsterdam : Gulf Professional Publishing
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 622.3380285; Petroleum engineering -- Data processing; Petroleum industry and trade -- Data processing; Machine learning -- Industrial applications
• Languages: English
• ISBNs: 9780128209141
• Related ISBNs: 9780128207147
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.