Advanced Production Forecasting for Petroleum Reservoirs
Mastering Decline Curves, Machine Learning, and Predictive Analytics for Reservoir Performance
Navigate the convergence of classical petroleum engineering and cutting-edge data science to build production forecasting models that drive better reservoir management decisions. This comprehensive guide takes you from foundational decline curve analysis through advanced machine learning and deep learning applications, showing you how to extract maximum value from your production data. You'll learn systematic approaches to feature engineering, probabilistic forecasting, and geological data integration that transform raw well logs and seismic information into actionable predictions. Discover how to validate your models rigorously, benchmark performance against industry standards, and develop workflows that balance statistical sophistication with physical accuracy. Whether you're optimizing reserve estimates, planning capital investments, or improving operational efficiency, you'll gain practical frameworks for integrating domain expertise with advanced analytics. This book bridges the gap between theoretical machine learning and real-world petroleum applications, equipping you with the tools to build forecasts that stakeholders trust and decisions that create value.
Est. Length
238 pages (11 chapters)
Language
English
Publication date
Jan 20, 2026
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