About this Training
This course provides comprehensive training in data interpretation methodologies and Python libraries essential for unconventional reservoir characterization. Through detailed sessions, real-world case studies, and hands-on examples, participants will develop the expertise needed to navigate modern reservoir management challenges with confidence. The program combines theoretical foundations with practical applications, ensuring participants can effectively analyze and interpret diverse data types including pressure, rate, and formation data.
The first day focuses on leveraging Python for multidisciplinary data analysis, enabling participants to conduct large-scale exploratory analysis and extract valuable insights. Day two delves into rate and pressure transient analysis (RTA and PTA) for unconventional reservoirs, bridging field-scale insights with well-level analysis to optimize reservoir performance. For those seeking additional depth, an optional third day explores advanced reservoir characterization methods, including coupled completion and reservoir simulation, along with machine learning applications for production prediction.
Throughout the course, participants will develop a holistic understanding of both fundamental and advanced concepts in reservoir characterization. By integrating diverse data types and analytical approaches, they will learn to make informed decisions that enhance reservoir performance. This comprehensive approach ensures that participants graduate with practical skills immediately applicable to their work in unconventional reservoir management and optimization.