• views: 168
• date: 10 May 2026
• posted by: 0nelove

What you'll learn
Better understanding of reservoir production and pressure performance
Waterflooding understanding, VRR and allocation factors concepts
Validate PVT data
Decline curve analysis for production and pressure data.
Risk Assessment using Bowtie technique
Requirements
Basic Petroleum engineering knowledge, especially in reservoir engineering. Concept presented simply and briefly so that people can benefit from it.
Description
This course provides a practical, data-driven approach to reservoir engineering, focusing on how to interpret, integrate, and act on pressure, production, and injection data to optimize reservoir performance. Designed for reservoir engineers, petroleum engineers, and energy professionals, the program bridges the gap between theory and real field application, emphasizing decision-making rather than just calculations.Across four structured chapters, participants will develop a complete understanding of reservoir behavior and surveillance workflows. The course begins with fundamental concepts of reservoir engineering, including pressure types, measurement techniques, and well testing principles. Special emphasis is placed on converting pressure data to a common datum and understanding flow regimes, enabling engineers to correctly interpret reservoir conditions.The second chapter focuses on waterflooding as a key recovery mechanism, covering injection strategies, pattern design, Voidage Replacement Ratio (VRR), and production allocation techniques. Participants will learn how to evaluate volumetric balance, diagnose inefficiencies, and build practical surveillance dashboards to monitor field performance.Chapter three dives into PVT analysis and fluid behavior, highlighting how fluid properties impact reservoir performance, simulation, and material balance. The course includes hands-on methods for validating laboratory PVT data through consistency checks and understanding common sources of error.The final chapter introduces Decline Curve Analysis (DCA) for production forecasting, including model selection, limitations, and best practices. Participants will also explore risk assessment using the BowTie methodology to connect technical analysis with operational decision-making.By the end of the course, attendees will be able to analyze reservoir performance, validate data, forecast production, and make informed engineering decisions supported by modern tools and real-world workflows.
Fresh graduated engineering students and workers in their early career working life.



   
   
   

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