Description
Book SynopsisThis book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies.
Features:
- Provides an understanding of the basics of IT technologies applied in the oil and gas sector
- Includes deep comparison between different artificial intelligence techniques
- Analyzes different simulators in the oil and gas sector as well as discussion of AI applications
- Focuses on in-depth experimental and applied topics
- Details different case studies for upstream and downstream
This book
Table of Contents
1. Understanding the Oil & Gas Sector and its Processes: Upstream and Downstream 2. IT technologies Impacting the Petroleum Sector 3. Data Handling Techniques in Petroleum Sector 4. Predictive Modelling Concepts in Petroleum Sector 5. Supply Chain Management in Oil and Gas Business 6. Prescriptive Analytics and its Application in Oil and Gas Business 7. Future Challenges in Petroleum Sector 8. Oil & Gas Industry in context of Industry 4.0
